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Symposium on Modeling and Optimization

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August 27, 2015, at 04:37 PM by 162.223.34.100 -
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</td></tr><tr><td><a href="
https://meetings.webex.com/collabs/meetings/join?uuid=M68F5R8U3YXIDWFCXAJ3L9LDWQ-18BV
">Apps
for Chemical Engineering Education</a>
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!!! Past Presentations - 2013

<table class="past">

<tr><td><b>Topic</b>
</td><td><b>Presentation</b>
</td><td><b>Date</b>
</td><td><b>Presenter</b>
</td><td><b>Affiliation</b>

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</td></tr>
</table>

!!! Past Presentations - 2012

<table class="past">

<tr><td><b>Topic</b>
</td><td><b>Presentation</b>
</td><td><b>Date</b>
</td><td><b>Presenter</b>
</td><td><b>Affiliation</b>

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</td></tr>
</table>

!!! Past Presentations - 2011

<table class="past">

<tr><td><b>Topic</b>
</td><td><b>Presentation</b>
</td><td><b>Date</b>
</td><td><b>Presenter</b>
</td><td><b>Affiliation</b>

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!!! Past Presentations
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!!! Past Presentations - 2015
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</table>
(:htmlend:)

!!! Past Presentations - 2014

<table class="past">

<tr><td><b>Topic</b>
</td><td><b>Presentation</b>
</td><td><b>Date</b>
</td><td><b>Presenter</b>
</td><td><b>Affiliation</b>
June 15, 2015, at 11:22 PM by 45.56.3.184 -
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June 10, 2015, at 08:42 AM by 10.5.113.170 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M7U13S58M5522G5AWQTAA3NN37-18BV'>Equation Oriented Dynamic Modeling: A Perspective on Progress and Challenges</a>
to:
</td></tr><tr><td>Apps for Chemical Engineering Education
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<br>June 9, 2015<br>11 AM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2015_06_Jeff_Renfro.pdf'>Jeff Renfro</a>
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">08-09-2015 09:00:00</span>
    <span class="_end">08-09-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
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</td></tr><tr><td>Equation Oriented Dynamic Modeling: A Perspective on Progress and Challenges
</td><td><a href='http://youtu.be/TQz7zhNKN5Y'><img src='http://img.youtube.com/vi/TQz7zhNKN5Y/default.jpg'></a>
</td><td nowrap>June 9, 2015
</td><td><a href='/wiki/uploads/Main/2015_06_Jeff_Renfro.pdf'>Jeff Renfro</a>
</td><td>Honeywell Process Solutions
May 30, 2015, at 02:23 PM by 173.149.203.219 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M7U13S58M5522G5AWQTAA3NN37-18BV'>Equation Oriented Dynamic Modeling: A Perspective on Progress and Challenges</a>
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May 19, 2015, at 05:18 PM by 10.5.113.160 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M4HI90LQSNHO95FPNZREIRAM7K-18BV'>Modeling for Advanced Pharmaceutical Manufacturing</a>
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>
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<
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</td><td><a href='/wiki/uploads/Main/2015_05_Marianthi Ierapetritou.pdf'>Marianthi Ierapetritou</a>
</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
to:
<br>June 9, 2015<br>11 AM Eastern</a>
</td><td>Jeff Renfro
<
/td><td>Honeywell Process Solutions

<
/td></tr><tr><td>Apps for Chemical Engineering Education
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">08-09-2015 09:00:00</span>
    <span class="_end">08-09-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
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</td></tr><tr><td>Modeling for Advanced Pharmaceutical Manufacturing
</td><td><a href='http://youtu.be/7n8bPPkWiOk'><img src='http://img.youtube.com/vi/7n8bPPkWiOk/default.jpg'></a>
</td><td>May 19, 2015
</td><td><a href='/wiki/uploads/Main/2015_05_Marianthi Ierapetritou.pdf'>Marianthi Ierapetritou</a>
</td><td>Rutgers University
April 29, 2015, at 06:14 AM by 45.56.3.184 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M4HI90LQSNHO95FPNZREIRAM7K-18BV'>Modeling for Advanced Pharmaceutical Manufacturing</a>
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</td><td><a href='http://youtu.be/zbbjbaHQfac'><img src='http://img.youtube.com/vi/zbbjbaHQfac/default.jpg'></a>
March 03, 2015, at 03:19 PM by 10.5.113.153 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M9FAFR372NZ24OUDSWM3NN4NOU-18BV'>Nonlinear Model Predictive Control of an Industrial Polymerization Process</a>
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<
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</td><td><a href='/wiki/uploads/Main/2015_02_Rahul_Bindlish.pdf'>Rahul Bindlish</a>
</td><td>Dow

</td></tr><tr><td>Topic TBD
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<br>May 12, 2015<br>11 AM Eastern</a>
</td><td>Marianthi Ierapetritou
<
/td><td>Rutgers University

<
/td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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<br>Mar 10, 2015<br>11 AM Eastern</a>
</td><td>John Bagterp Jørgensen
</td><td>Technical University of Denmark

</td></tr><tr><td>Modeling for Advanced Pharmaceutical Manufacturing
</td><td>
to:
<br>June 9, 2015<br>11 AM Eastern</a>
</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
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<br>May 12, 2015<br>11 AM Eastern</a>
</td><td>Marianthi Ierapetritou
</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">09-06-2015 09:00:00</span>
    <span class="_end">09-06-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
<br>June 9, 2015<br>11 AM Eastern</a>
</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">08-09-2015 09:00:00</span>
    <span class="_end">08-09-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
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</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
</td><td><a href='http://youtu.be/RWXD2gwksmk'><img src='http://img.youtube.com/vi/RWXD2gwksmk/default.jpg'></a>
</td><td nowrap>Feb 24, 2015
</td><td><a href='/wiki/uploads/Main/2015_02_Rahul_Bindlish.pdf'>Rahul Bindlish</a>
</td><td>Dow
February 14, 2015, at 07:12 AM by 107.188.175.164 -
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</td></tr><tr><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>From the Nanometer Scale to the Oilfield: Applying Fundamental Asphaltene Research</a>
</td><td nowrap>
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M9FAFR372NZ24OUDSWM3NN4NOU-18BV'>Nonlinear Model Predictive Control of an Industrial Polymerization Process</a>
</td><td>
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    <span class="_end">24-02-2015 10:00:00</span>
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<br>Feb 4, 2015<br>2 PM Eastern</a>
</td><td>Michael Hoepfner
<
/td><td>University of Utah

<
/td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
to:
<br>Feb 24, 2015<br>11 AM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2015_02_Rahul_Bindlish.pdf'>Rahul Bindlish</a>
</td><td>Dow

</td></tr><tr><td>Topic TBD
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    <span class="_end">10-03-2015 10:00:00</span>
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<br>Feb 24, 2015<br>11 AM Eastern</a>
</td><td>Rahul Bindlish
</td><td>Dow

</td></tr><tr><td>Topic TBD
to:
<br>Mar 10, 2015<br>11 AM Eastern</a>
</td><td>John Bagterp Jørgensen
</td><td>Technical University of Denmark

</td></tr><tr><td>Modeling for Advanced Pharmaceutical Manufacturing
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</td><td>Technical University of Denmark

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to:
<br>May 5, 2015<br>11 AM Eastern</a>
</td><td>Marianthi Ierapetritou
</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
</td><td>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">08-09-2015 09:00:00</span>
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
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</td></tr><tr><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>From the Nanometer Scale to the Oilfield: Applying Fundamental Asphaltene Research</a>
</td><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>AIChE ChemE On Demand</a>
</td><td nowrap>Feb 4, 2015
</td><td>Michael Hoepfner
</td><td>University of Utah
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/td><td>Notre Dame
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</td><td><a href='http://eng.ua.edu/people/jbara/'>Jason Bara</a>
</td><td>University of Alabama
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</td></tr><tr><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>From the Nanometer Scale<br>to the Oilfield: <br>Applying Fundamental <br>Asphaltene Research</a>
</td><td>
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</td></tr><tr><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>From the Nanometer Scale to the Oilfield: Applying Fundamental Asphaltene Research</a>
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to:
</td></tr><tr><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>From the Nanometer Scale<br>to the Oilfield: <br>Applying Fundamental <br>Asphaltene Research</a>
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCEPY6W3F7W82WABN1QTVZULFC-18BV'>Advances in Chemical Production Scheduling</a>
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</td></tr><tr><td><a href='http://www.aiche.org/academy/webinars/nanometer-scale-oilfield-applying-fundamental-asphaltene-research'>From the Nanometer Scale to the Oilfield: Applying Fundamental Asphaltene Research</a>
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</td><td><a href='/wiki/uploads/Main/2015_01_Christos_Maravelias.pdf'>Christos Maravelias</a>
</td><td>University
of Wisconsin-Madison
</td></tr>

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<br>Feb 4, 2015<br>2 PM Eastern</a>
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/td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Rahul Bindlish
</td><td>Dow

</td></tr><tr><td>Topic TBD
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<br>Mar 10, 2015<br>11 AM Eastern</a>
</td><td>John Bagterp Jørgensen
</td><td>Technical University of Denmark

</td></tr><tr><td>Modeling for Advanced Pharmaceutical Manufacturing
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</td><td>John Bagterp Jørgensen
</td><td>Technical University of Denmark

</td></tr><tr><td>Modeling for Advanced Pharmaceutical Manufacturing
to:
<br>May 5, 2015<br>11 AM Eastern</a>
</td><td>Marianthi Ierapetritou
</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
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</td><td>Honeywell Process Solutions

</td></tr><tr><td>Apps for Chemical Engineering Education
</td><td>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">08-09-2015 09:00:00</span>
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td></tr><tr><td>Advances in Chemical Production Scheduling
</td><td><a href='http://youtu.be/5o-tI7Tg9LA'><img src='http://img.youtube.com/vi/5o-tI7Tg9LA/default.jpg'></a>
</td><td nowrap>Jan 27, 2015
</td><td><a href='/wiki/uploads/Main/2015_01_Christos_Maravelias.pdf'>Christos Maravelias</a>
</td><td>University of Wisconsin-Madison
</td></tr>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M1ORHID567X6AJIP12QPUQW73Q-18BV'>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes</a>
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</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes
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</td><td>Marianthi Ierapetritou
</td><td>Rutgers University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">09-06-2015 09:00:00</span>
    <span class="_end">09-06-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
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</td></tr><tr><td>Apps for Chemical Engineering Education
</td><td>
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    Add to Calendar
    <span class="_start">08-09-2015 09:00:00</span>
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td><td>Edward Maginn
</td><td>Notre Dame
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</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Honeywell Process Solutions

</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Rahul Bindlish
</td><td>Dow

</td></tr><tr><td>Topic TBD
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<br>Mar 10, 2015<br>11 AM Eastern</a>
</td><td>John Bagterp Jørgensen
</td><td>Technical University of Denmark

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Technical University of Denmark
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions
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to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCEPY6W3F7W82WABN1QTVZULFC-18BV'>Advances in Chemical Production Scheduling</a>
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<
/td><td>Oklahoma State University
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<br>Jan 27, 2015<br>11 AM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2015_01_Christos_Maravelias.pdf'>Christos Maravelias</a>
</td><td>University of Wisconsin-Madison
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</td><td>University of Wisconsin-Madison
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</td></tr><tr><td>Flow Assurance: Asphaltene Deposition
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<
/td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
to:
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Rahul Bindlish
</td><td>Dow

</td></tr><tr><td>Topic TBD
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</td><td>Dow

</td></tr><tr><td>Topic TBD
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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">10-03-2015 09:00:00</span>
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td></tr><tr><td><a href='http://www.cepmagazine.net/academy/webinars/dynamic-emulsion-characterization'>Dynamic Emulsion Characterization</a>
</td><td><a href='http://www.cepmagazine.net/academy/webinars/dynamic-emulsion-characterization'>AIChE ChemE On Demand</a>
</td><td nowrap>Jan 21, 2015
</td><td>Clint Aichele
</td><td>Oklahoma State University
</td></tr>
January 21, 2015, at 07:52 AM by 107.188.175.164 -
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January 21, 2015, at 07:52 AM by 107.188.175.164 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M1ORHID567X6AJIP12QPUQW73Q-18BV'>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes</a>
to:
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</td><td><a href='/wiki/uploads/Main/2014_12_Raymond_Smith.pdf'>Raymond L. Smith</a>
</td><td>Environmental Protection Agency (EPA)
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<br>Jan 21, 2015<br>2 PM Eastern</a>
</td><td>Clint Aichele
<
/td><td>Oklahoma State University
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</td><td>Clint Aichele
</td><td>Oklahoma State University
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<br>Jan 27, 2015<br>11 AM Eastern</a>
</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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</td><td>University of Wisconsin-Madison
</td></tr>

</td></tr><tr><td>Flow Assurance: Asphaltene Deposition
to:
<br>Feb 4, 2015<br>2 PM Eastern</a>
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</td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>University of Utah

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</td><td>Honeywell Process Solutions

</td></tr><tr><td>Nonlinear Model Predictive Control of an Industrial Polymerization Process
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</td><td>Honeywell Process Solutions

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</td><td>Rahul Bindlish
</td><td>Dow

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M1ORHID567X6AJIP12QPUQW73Q-18BV'>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes</a>
</td><td nowrap>Recording Release Approval Pending
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</td></tr><tr><td><a href= 'http://www.cepmagazine.net/academy/webinars/dynamic-emulsion-characterization'>Dynamic Emulsion Characterization</a>
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</td><td>University of Wisconsin-Madison
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</td><td>Clint Aichele
</td><td>Oklahoma State University
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</td><td>Oklahoma State University
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</td><td>University of Wisconsin-Madison
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November 22, 2014, at 10:36 PM by 107.188.175.164 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M1ORHID567X6AJIP12QPUQW73Q-18BV'>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes</a>
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MA7VA36PWXY7SMCNJVR89RI1DX-18BV'>Dynamic Modeling and Optimization Advances with gPROMS</a>
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</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes
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<
/td><td>Environmental Protection Agency (EPA)
</td></tr>

</td></tr><tr><td>Advances in Chemical Production Scheduling
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</td><td>Environmental Protection Agency (EPA)
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<br>Jan 20, 2015<br>11 AM Eastern</a>
</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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</td><td>Clint Aichele
</td><td>Oklahoma State University
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</td><td>Oklahoma State University
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<br>Feb 4, 2015<br>2 PM Eastern</a>
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/td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD
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</td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD
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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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</td><td nowrap><a href='/wiki/uploads/Main/2014_10_Pieter_Schmal.pdf'>Pieter Schmal</a>
</td><td><a href='http://www.psenterprise.com'>PSE</a>
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to:
Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online. Sessions are sponsored by the [[http://www.castdiv.org/ | Computing and Systems Technology (CAST) division]] of the American Institute of Chemical Engineers (AIChE) as the WebCAST series.
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</td><td>Honeywell Process Solutions

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to:
<br>Feb 4, 2015<br>2 PM Eastern</a>
</td><td>Michael Hoepfner
</td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>University of Utah
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions
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    <span class="_summary">Symposium on Modeling and Optimization</span>
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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MA7VA36PWXY7SMCNJVR89RI1DX-18BV'>Dynamic Modeling and Optimization Advances with gPROMS</a>
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</td></tr><tr><td>Topic TBD
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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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    <span class="_date_format">DD/MM/YYYY</span>
<br>Oct 21, 2014<br>11 AM Eastern</a>
</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
</td></tr>
September 27, 2014, at 08:46 PM by 107.188.175.164 -
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</td></tr><tr><td>Flow Assurance: Asphaltene Deposition
</td><td>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
<br>Mar 10, 2015<br>2 PM Eastern</a>
</td><td>Michael Hoepfner
</td><td>University of Utah
September 20, 2014, at 01:10 PM by 107.188.175.164 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M91DAN5S2LVKY9LA1WAEAQSTPL-18BV'>Control of Artificial Pancreas Systems</a>
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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='/wiki/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a>
</td><td>Illinois Institute of Technology

<
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<
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</td><td><a href='http://www.psenterprise.com'>PSE</a>
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</td></tr><tr><td>Topic TBD
to:
<br>Oct 21, 2014<br>11 AM Eastern</a>
</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
<
/td></tr>

</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes
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</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
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<br>Dec 2, 2014<br>11 AM Eastern</a>
</td><td>Ray Smith
</td><td>Environmental Protection Agency (EPA)
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</td></tr><tr><td>Advances in Chemical Production Scheduling
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<br>Dec 2, 2014<br>11 AM Eastern</a>
</td><td>Ray Smith
</td><td>Environmental Protection Agency (EPA)
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<br>Jan 20, 2015<br>11 AM Eastern</a>
</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>University of Wisconsin-Madison
</td></tr>

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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<
/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD
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</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD
</td><td>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">10-03-2015 09:00:00</span>
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
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</td></tr><tr><td>Control of Artificial Pancreas Systems
</td><td><a href='http://youtu.be/rrtPn6GKMlU'><img src='http://img.youtube.com/vi/cjMkVHjhSBI/default.jpg'></a>
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</td><td nowrap><a href='/wiki/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a>
</td><td>Illinois Institute of Technology
September 20, 2014, at 01:07 PM by 107.188.175.164 -
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</td></tr><tr><td>Topic TBD
</td><td>
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    <span class="_start">10-03-2015 09:00:00</span>
    <span class="_end">10-03-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td><td>Technical University of Denmark
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</td><td nowrap>Ali Cinar
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August 22, 2014, at 09:00 AM by 173.149.194.29 -
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</td><td>Honeywell Process Solutions

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</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

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</td></tr><tr><td>Topic TBD
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<br>Oct 21, 2014<br>11 AM Eastern</a>
</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
<
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</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes
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</td><td>Universidad Iberoamericana
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</td><td>Ray Smith
</td><td>Environmental Protection Agency (EPA)
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</td><td>Environmental Protection Agency (EPA)
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</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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</td><td>University of Wisconsin-Madison
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</td><td>Honeywell Process Solutions
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
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    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
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</td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a>
</td><td>Sandia National Laboratories

</td></tr><tr><td>Control of Artificial Pancreas Systems
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<br>Sept 16, 2014<br>11 AM Eastern</a>
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<
/td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td
>
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/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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<br>Oct 14, 2014<br>11 AM Eastern</a>
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</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
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</td></tr><tr><td>Topic TBD
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<br>Oct 21, 2014<br>11 AM Eastern</a>
</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
<
/td></tr>

</td></tr><tr><td>Advances in Chemical Production Scheduling
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</td><td>Universidad Iberoamericana
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</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
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</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
</td><td><a href='http://youtu.be/cjMkVHjhSBI'><img src='http://img.youtube.com/vi/cjMkVHjhSBI/default.jpg'></a>
</td><td nowrap>June 24, 2014
</td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a>
</td><td>Sandia National Laboratories
June 20, 2014, at 10:46 AM by 107.188.175.164 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M24OLFJ6RYL3ISX24P099B0QWA-18BV'>Better Optimization of Nonlinear Uncertain Systems (BONUS) Algorithm for Large Scale Real World Stochastic Nonlinear Programming Problems</a>
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCJ1HR8BOH61AWQZ2I8M7RSOW4-18BV'>Structured Optimization Modeling with Pyomo and Coopr</a>
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</td><td nowrap><a href='/wiki/uploads/Main/2014_06_Urmila_Diwekar.pdf'>Urmila Diwekar</a>
</td><td>Vishwamitra Research Institute

</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
to:
<br>June 24, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a>
</td><td>Sandia National Laboratories

</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td><td>Sandia National Laboratories

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<
/td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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>
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</td><td>Honeywell Process Solutions

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<br>Oct 14, 2014<br>11 AM Eastern</a>
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</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
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</td><td><a href='http://www.psenterprise.com'>PSE</a>
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</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
<
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</td></tr><tr><td>Advances in Chemical Production Scheduling
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</td><td>Universidad Iberoamericana
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</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
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    <span class="_start">20-01-2015 09:00:00</span>
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    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td><td>University of Wisconsin-Madison
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</td></tr><tr><td>Better Optimization of Nonlinear Uncertain Systems (BONUS) Algorithm for Large Scale Real World Stochastic Nonlinear Programming Problems
</td><td><a href='http://youtu.be/4O6RopEhbY4'><img src='http://img.youtube.com/vi/4O6RopEhbY4/default.jpg'></a>
</td><td nowrap>June 17, 2014
</td><td nowrap><a href='/wiki/uploads/Main/2014_06_Urmila_Diwekar.pdf'>Urmila Diwekar</a>
</td><td>Vishwamitra Research Institute
June 13, 2014, at 01:51 PM by 174.148.36.192 -
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Algorithm for Large Scale Real World Stochastic Nonlinear
Programming Problems
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M24OLFJ6RYL3ISX24P099B0QWA-18BV'>Better Optimization of Nonlinear Uncertain Systems (BONUS) Algorithm for Large Scale Real World Stochastic Nonlinear Programming Problems</a>
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</td></tr><tr><td><a href='http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water'>The Nexus of Energy and Water</a>
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Algorithm for Large Scale Real World Stochastic Nonlinear
Programming Problems
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</td><td nowrap><a href='http://www.me.utexas.edu/directory/faculty/webber/michael/'>Michael Webber</a>
</td><td>The University of Texas at Austin

</td></tr><tr><td>Title TBD
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<
/td><td>Vishwamitra Research Institute

<
/td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
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<
/td><td>Vishwamitra Research Institute

<
/td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
to:
<br>June 24, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a>
</td><td>Sandia National Laboratories

</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td><td>Sandia National Laboratories

</td></tr><tr><td>Control of Artificial Pancreas Systems
</td><td nowrap>
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td>
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</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td
>
to:
<br>Sept 30, 2014<br>11 AM Eastern</a>
<
/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
</td><td nowrap>
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/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

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to:
    <span class="_date_format">DD/MM/YYYY</span>
<br>Oct 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
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</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr> 

</td></tr><tr><td>Topic TBD
to:
<br>Oct 21, 2014<br>11 AM Eastern</a>
</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
<
/td></tr>

</td></tr><tr><td>Advances in Chemical Production Scheduling
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</td><td>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
to:
<br>Jan 20, 2015<br>11 AM Eastern</a>
</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
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</td></tr><tr><td>Advances in Chemical Production Scheduling
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">20-01-2015 09:00:00</span>
    <span class="_end">20-01-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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    <span class="_date_format">DD/MM/YYYY</span>
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</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
</td></tr>

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</td></tr><tr><td><a href='http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water'>The Nexus of Energy and Water</a>
</td><td nowrap>
</td><td nowrap>May 28, 2014
</td><td nowrap><a href='http://www.me.utexas.edu/directory/faculty/webber/michael/'>Michael Webber</a>
</td><td>The University of Texas at Austin
May 14, 2014, at 03:02 PM by 10.5.113.178 -
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</td><td nowrap>John Siirola
to:
</td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a>
May 13, 2014, at 02:24 PM by 10.5.113.178 -
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</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
to:
</td></tr><tr><td>Title TBD
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</td><td nowrap>John Siirola
</td><td>Sandia National Laboratories

</td></tr><tr><td>Title TBD
to:
<br>June 17, 2014<br>11 AM Eastern</a>
</td><td nowrap>Urmila Diwekar
</td><td>Vishwamitra Research Institute

</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
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<br>June 17, 2014<br>11 AM Eastern</a>
</td><td nowrap>Urmila Diwekar
</td><td>Vishwamitra Research Institute
to:
<br>June 24, 2014<br>11 AM Eastern</a>
</td><td nowrap>John Siirola
</td><td>Sandia National Laboratories
May 13, 2014, at 02:09 PM by 10.5.113.178 -
Changed lines 117-118 from:
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May 13, 2014, at 02:08 PM by 10.5.113.178 -
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</td></tr><tr><td>Title TBD
to:
</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr
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to:
</td><td>Sandia National Laboratories
May 12, 2014, at 07:03 AM by 107.188.175.164 -
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</td><td nowrap>Michael Webber
to:
</td><td nowrap><a href='http://www.me.utexas.edu/directory/faculty/webber/michael/'>Michael Webber</a>
May 12, 2014, at 06:52 AM by 107.188.175.164 -
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</td></tr><tr><td>Advances in Chemical Production Scheduling
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">20-01-2014 09:00:00</span>
    <span class="_end">20-01-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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    <span class="_date_format">DD/MM/YYYY</span>
<br>Jan 20, 2015<br>11 AM Eastern</a>
</td><td>Christos Maravelias
</td><td>University of Wisconsin-Madison
</td></tr>
May 08, 2014, at 12:36 PM by 10.5.113.178 -
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May 08, 2014, at 12:35 PM by 10.5.113.178 -
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</td></tr><tr><td><a href='http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water'>The Nexus of Energy and Water</a>
</td><td nowrap>
<a href="http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">28-5-2014 12:00:00</span>
    <span class="_end">28-5-2014 13:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>
<br>June 3, 2014<br>2 PM Eastern</a>
</td><td nowrap>Michael Webber
</td><td>The University of Texas at Austin
May 08, 2014, at 12:33 PM by 10.5.113.178 -
Changed lines 99-100 from:
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    <span class="_end">3-6-2014 10:00:00</span>
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May 08, 2014, at 08:07 AM by 10.5.113.178 -
Deleted lines 93-110:

</td></tr><tr><td>3 Minute Speed Networking
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">22-04-2014 09:00:00</span>
    <span class="_end">22-04-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>
<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>
April 16, 2014, at 09:20 AM by 23.255.228.67 -
Changed line 127 from:
<br>June 17, 2014<br>11 AM Eastern</a>
to:
<br>May 27, 2014<br>11 AM Eastern</a>
April 16, 2014, at 09:20 AM by 23.255.228.67 -
Changed line 95 from:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M4SM1B8Z07E957OOW8FIDPB4EU-18BV'>Reduced Order Modeling of Residential Buildings from Smart Meter Data</a>
to:
</td></tr><tr><td>3 Minute Speed Networking
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    <span class="_end">22-04-2014 10:00:00</span>
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<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='/wiki/uploads/Main/2014_04_Krystian_Perez.pdf'>Krystian Perez</a>
</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
to:
<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Title TBD
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    <span class="_end">27-05-2014 10:00:00</span>
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<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

to:
<br>June 17, 2014<br>11 AM Eastern</a>
</td><td nowrap>John Siirola
<
/td><td>Sandia National Laboratory
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</td></tr><tr><td>Meters to Models: Using Smart Meter Data to Predict and Control Home Energy Use
</td><td><a href='http://youtu.be/ttyGCkgLWwM'><img src='http://img.youtube.com/vi/ttyGCkgLWwM/default.jpg'></a>
</td><td>Apr 15, 2014
</td><td nowrap><a href='/wiki/uploads/Main/2014_04_Krystian_Perez.pdf'>Krystian Perez</a>
</td><td>University of Texas at Austin
April 13, 2014, at 04:24 AM by 31.221.87.81 -
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</td><td nowrap><a href='/wiki/upload/Main/2014_03_Krystian_Perez.pdf'>Krystian Perez</a>
to:
</td><td nowrap><a href='/wiki/uploads/Main/2014_04_Krystian_Perez.pdf'>Krystian Perez</a>
April 13, 2014, at 04:22 AM by 31.221.87.81 -
Changed line 95 from:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MAXZ4UWO079ZXVCV7SFJUES7Y1-18BV'>Multi&#8208;echelon Supply Chain Inventory Optimization</a>
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M4SM1B8Z07E957OOW8FIDPB4EU-18BV'>Reduced Order Modeling of Residential Buildings from Smart Meter Data</a>
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   <span class="_start">25-03-2014 09:00:00</span>
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    <span class="_end">15-04-2014 10:00:00</span>
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<br>Mar 25, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='/wiki/uploads/Main/2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
to:
<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='/wiki/upload/Main/2014_03_Krystian_Perez.pdf'>Krystian Perez</a>
</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
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    <span class="_end">22-04-2014 10:00:00</span>
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</td><td nowrap>Krystian Perez
<
/td><td>University of Texas at Austin

<
/td></tr><tr><td>3 Minute Speed Networking
to:
<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Title TBD
Changed lines 135-136 from:
   <span class="_start">22-04-2014 09:00:00</span>
    <span class="_end">22-04-2014 10:00:00</span>
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    <span class="_end">17-06-2014 10:00:00</span>
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<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Title TBD
to:
<br>June 17, 2014<br>11 AM Eastern</a>
</td><td nowrap>Urmila Diwekar
<
/td><td>Vishwamitra Research Institute

<
/td></tr><tr><td>Control of Artificial Pancreas Systems
Changed lines 153-154 from:
   <span class="_start">17-06-2014 09:00:00</span>
    <span class="_end">17-06-2014 10:00:00</span>
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   <span class="_start">16-09-2014 09:00:00</span>
    <span class="_end">16-09-2014 10:00:00</span>
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<br>June 17, 2014<br>11 AM Eastern</a>
</td><td nowrap>Urmila Diwekar
</td><td>Vishwamitra Research Institute

</td></tr><tr><td>Control of Artificial Pancreas Systems
</td><td nowrap>
to:
<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td>
Changed lines 171-172 from:
   <span class="_start">16-09-2014 09:00:00</span>
    <span class="_end">16-09-2014 10:00:00</span>
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    <span class="_end">30-09-2014 10:00:00</span>
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td
>
to:
<br>Sept 30, 2014<br>11 AM Eastern</a>
<
/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
</td><td nowrap>
Changed lines 188-189 from:
   <span class="_start">30-09-2014 09:00:00</span>
    <span class="_end">30-09-2014 10:00:00</span>
to:
   <span class="_start">14-10-2014 09:00:00</span>
    <span class="_end">14-10-2014 10:00:00</span>
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<br>Sept 30, 2014<br>11 AM Eastern</a>
<
/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
to:
    <span class="_date_format">DD/MM/YYYY</span>
<br>Oct 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
Changed lines 207-208 from:
   <span class="_start">14-10-2014 09:00:00</span>
    <span class="_end">14-10-2014 10:00:00</span>
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   <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
Deleted lines 216-234:
<br>Oct 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>
Added lines 239-244:

</td></tr><tr><td>Multi-echelon Supply Chain Inventory Optimization
</td><td><a href='http://youtu.be/MKfgF3wzsdc'><img src='http://img.youtube.com/vi/MKfgF3wzsdc/default.jpg'></a>
</td><td>Mar 25, 2014
</td><td nowrap><a href='/wiki/uploads/Main/2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>
</td><td>Dow Chemical
March 22, 2014, at 11:20 PM by 23.255.228.67 -
Added lines 148-165:

</td></tr><tr><td>Title TBD
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">17-06-2014 09:00:00</span>
    <span class="_end">17-06-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>
<br>June 17, 2014<br>11 AM Eastern</a>
</td><td nowrap>Urmila Diwekar
</td><td>Vishwamitra Research Institute
March 19, 2014, at 11:26 PM by 23.255.228.67 -
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</td><td nowrap><a href='2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>
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</td><td nowrap><a href='/wiki/uploads/Main/2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>
March 19, 2014, at 11:22 PM by 23.255.228.67 -
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</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MAXZ4UWO079ZXVCV7SFJUES7Y1-18BV'>Multi&#8208;echelon Supply Chain Inventory Optimization</a>
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</td><td nowrap>Anshul Agarwal<br>John Wassick
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</td><td nowrap><a href='2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>
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</td><td>Mar 11, 2014
March 13, 2014, at 06:34 PM by 10.5.113.122 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBK6L1F1NCKLISQQ1PBRQVEC6E-18BV'>Parallel Computing and Opportunities in Nonlinear Optimization</a>
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</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
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    <span class="_end">25-03-2014 10:00:00</span>
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<br>Mar 11, 2014<br>11 AM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2014_03_Carl_Laird.pdf'>Carl Laird</a>
</td><td>Purdue University

</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
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<br>Mar 25, 2014<br>11 AM Eastern</a>
</td><td nowrap>Anshul Agarwal<br>John Wassick
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/td><td>Dow Chemical

<
/td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
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</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
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<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap>Krystian Perez
</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
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/td><td>University of Texas at Austin

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<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

<
/td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td></tr><tr><td>Control of Artificial Pancreas Systems
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td
>
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<br>Sept 30, 2014<br>11 AM Eastern</a>
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/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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<br>Oct 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
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</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td></tr><tr><td>Parallel Computing and Opportunities in Nonlinear Optimization
</td><td><a href='http://youtu.be/0WnZhoeUYkk'><img src='http://img.youtube.com/vi/0WnZhoeUYkk/default.jpg'></a>
</td><td>Mar 11, 2014<br>11 AM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2014_03_Carl_Laird.pdf'>Carl Laird</a>
</td><td>Purdue University
March 10, 2014, at 10:18 AM by 23.255.228.67 -
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</td></tr><tr><td>Parallel Optimization
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBK6L1F1NCKLISQQ1PBRQVEC6E-18BV'>Parallel Computing and Opportunities in Nonlinear Optimization</a>
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</td><td><a href='/wiki/uploads/Main/2014_03_Carl_Laird.pdf'>Carl Laird</a>
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M8JSQZNIK7WKY6J9L5HEIQ4Q0E-18BV'>Global Optimization of MINLP by Evolutionary Algorithms</a>
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</td></tr><tr><td>Parallel Optimization
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    <span class="_end">11-03-2014 10:00:00</span>
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<br>Feb 25, 2014<br>5 PM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2014_02_Martin_Schlueter_MIDACO.pdf'>Martin Schlueter</a>
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization
</td><td
>
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<br>Mar 11, 2014<br>11 AM Eastern</a>
</td><td>Carl Laird
<
/td><td>Purdue University

<
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<
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    <span class="_end">25-03-2014 10:00:00</span>
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</td><td>Carl Laird
</td
><td>Purdue University

</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
to:
<br>Mar 25, 2014<br>11 AM Eastern</a>
</td><td nowrap>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
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    <span class="_end">15-04-2014 10:00:00</span>
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</td><td nowrap>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
to:
<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap>Krystian Perez
</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
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<
/td><td>University of Texas at Austin

<
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<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

<
/td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td><td nowrap>Ali Cinar
</td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td
>
to:
<br>Sept 30, 2014<br>11 AM Eastern</a>
<
/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
</td><td nowrap>
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</td><td>Honeywell Process Solutions

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to:
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<br>Oct 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
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<br>Oct 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Pieter Schmal
</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
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    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>
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</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
</td><td><a href='http://youtu.be/oCVib-sRbjY'><img src='http://img.youtube.com/vi/oCVib-sRbjY/default.jpg'></a>
</td><td>Feb 25, 2014
<a href='/wiki/uploads/Main/2014_02_Martin_Schlueter_MIDACO.pdf'>Martin Schlueter</a>
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)
February 22, 2014, at 04:55 PM by 23.255.228.67 -
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</td><td><a href='/wiki/uploads/Main/2014_02_Martin_Schlueter_MIDACO.pdf'>Martin Schlueter</a>
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<
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</td><td>Honeywell Process Solutions

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</td><td nowrap>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
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    <span class="_end">15-04-2014 10:00:00</span>
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</td><td nowrap>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
to:
<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap>Krystian Perez
</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
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<
/td><td>University of Texas at Austin

<
/td></tr><tr><td>3 Minute Speed Networking
to:
<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
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<br>Apr 22, 2014<br>11 AM Eastern</a>
</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

<
/td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td></tr><tr><td>Control of Artificial Pancreas Systems
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    <span class="_end">30-09-2014 10:00:00</span>
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</td><td>Illinois Institute of Technology
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<br>Sept 30, 2014<br>11 AM Eastern</a>
<
/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M57C7RRF9ZS2BPWXE7EWGQN7FB-18BV'>Industrial Flowsheet Optimization and Estimation using IMPL</a>
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M8JSQZNIK7WKY6J9L5HEIQ4Q0E-18BV'>Global Optimization of MINLP by Evolutionary Algorithms</a>
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    <span class="_end">25-02-2014 16:00:00</span>
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</td><td><a href='/wiki/uploads/Main/2014_02_Jeffrey_Kelly.pdf'>Jeffrey Kelly</a>
</td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
to:
<br>Feb 25, 2014<br>5 PM Eastern</a>
</td><td>Martin Schlueter
<
/td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization
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</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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</td><td>Carl Laird
</td><td>Purdue University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Purdue University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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>
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</td><td>Honeywell Process Solutions

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</td><td>Dow Chemical

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</td><td>University of Texas at Austin

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</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

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/td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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</td><td>Illinois Institute of Technology

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</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
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</td><td><a href='http://www.psenterprise.com'>PSE</a>
</td></tr>

</td></tr><tr><td>Topic TBD
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL
</td><td><a href='http://youtu.be/ZR0ac1ZOuIo'><img src='http://img.youtube.com/vi/ZR0ac1ZOuIo/default.jpg'></a>
</td><td>Feb 18, 2014
<a href='/wiki/uploads/Main/2014_02_Jeffrey_Kelly.pdf'>Jeffrey Kelly</a>
</td><td>Industrial Algorithms
February 14, 2014, at 11:40 AM by 23.255.228.67 -
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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M57C7RRF9ZS2BPWXE7EWGQN7FB-18BV'>Industrial Flowsheet Optimization and Estimation using IMPL</a>
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</td><td>Jeff Kelly
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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL
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</td><td>Antonio Flores Tlacuahuac
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</td></tr><tr><td>Topic TBD
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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    <span class="_date_format">DD/MM/YYYY</span>
<br>Oct 21, 2014<br>11 AM Eastern</a>
</td><td nowrap>Antonio Flores Tlacuahuac
</td><td>Universidad Iberoamericana
</td></tr>

February 12, 2014, at 11:33 PM by 23.255.228.67 -
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February 12, 2014, at 11:32 PM by 23.255.228.67 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M10CMN75ACBW9KHDWJM3QYNUN1-18BV'>Feedback Control of <br>Stochastic Self-Assembly</a>
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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)
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<br>Feb 11, 2014<br>11 AM Eastern</a>
</td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf'>Martha Grover</a>
</td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)
to:
<br>Feb 18, 2014<br>11 AM Eastern</a>
</td><td>Jeff Kelly
<
/td><td>Industrial Algorithms

<
/td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
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    <span class="_end">25-02-2014 16:00:00</span>
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</td><td>Jeff Kelly
</td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
to:
<br>Feb 25, 2014<br>5 PM Eastern</a>
</td><td>Martin Schlueter
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization
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</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization
to:
<br>Mar 11, 2014<br>11 AM Eastern</a>
</td><td>Carl Laird
</td><td>Purdue University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Purdue University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td
>
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<br>Mar 18, 2014<br>11 AM Eastern</a>
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/td><td>Jeff Renfro
</td><td>Honeywell Process Solutions

</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
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</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
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</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
to:
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</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
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<
/td><td>University of Texas at Austin

<
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</td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>
</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
to:
<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

<
/td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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</td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">14-10-2014 09:00:00</span>
    <span class="_end">14-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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    <span class="_date_format">DD/MM/YYYY</span>
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</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly
</td><td><a href='http://youtu.be/PkvtPEjqLNU'><img src='http://img.youtube.com/vi/PkvtPEjqLNU/default.jpg'></a>
</td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf'>Martha Grover</a>
</td><td>Georgia Tech
February 05, 2014, at 08:29 AM by 23.255.228.67 -
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</td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf>Martha Grover</a>
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</td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf'>Martha Grover</a>
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M10CMN75ACBW9KHDWJM3QYNUN1-18BV'>Feedback Control of <br>Stochastic Self-Assembly</a>
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</td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf>Martha Grover</a>
February 01, 2014, at 09:14 PM by 173.150.96.183 -
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</td><td>Purdue University
February 01, 2014, at 09:11 PM by 173.150.96.183 -
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</td><td nowrap>Jan 28, 2014
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCGPSBB7BJGA55TH6JVZMDZLQU-18BV'>New Interface Developments <br>with the AMPL Modeling Language & System</a>
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>
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</td><td nowrap><a href='/wiki/uploads/Main/2014_01_Robert_Fourer_AMPL.pdf'>Robert Fourer</a>
</td><td>Northwestern University

</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly
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<
/td><td>Georgia Tech

<
/td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)
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    <span class="_end">18-02-2014 10:00:00</span>
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</td><td>Martha Grover
</td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)
to:
<br>Feb 18, 2014<br>11 AM Eastern</a>
</td><td>Jeff Kelly
</td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
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    <span class="_end">25-02-2014 16:00:00</span>
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<br>Feb 18, 2014<br>11 AM Eastern</a>
</td><td>Jeff Kelly
</td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
to:
<br>Feb 25, 2014<br>5 PM Eastern</a>
</td><td>Martin Schlueter
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization
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</td><td>Martin Schlueter
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization
to:
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</td><td>Carl Laird
</td><td>Texas A&M

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>University of Texas at Austin

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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
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    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
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</td><td>Northwestern University
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
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</td><td>Argonne National Laboratory

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</td><td>Northwestern University

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</td><td>Georgia Tech

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</td><td>Georgia Tech

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</td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
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</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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</td><td>Texas A&M

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</td><td>Texas A&M

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</td><td>Honeywell Process Solutions

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</td><td>Dow Chemical

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</td><td>Dow Chemical

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</td><td>University of Texas at Austin

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<
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</td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">14-10-2014 09:00:00</span>
    <span class="_end">14-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td><td nowrap>Jan 21, 2014
</td><td nowrap><a href='/wiki/uploads/Main/WebCAST_Victor_Zavala.pdf'>Victor Zavala</a>
</td><td>Argonne National Laboratory

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBELJJTFW1ANQTW4RP8C7URO59-18BV'>Process Integration & Optimization Using Dynamic Systems Models</a>
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
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</td><td>Idaho National Laboratory

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
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</td><td>Argonne National Laboratory

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</td
><td>Argonne National Laboratory

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</td><td>Northwestern University

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</td><td>Northwestern University

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to:
<br>Feb 11, 2014<br>11 AM Eastern</a>
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</td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)
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</td><td>Georgia Tech

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to:
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</td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
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<br>Feb 25, 2014<br>5 PM Eastern</a>
</td><td>Martin Schlueter
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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</td><td>Texas A&M

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
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</td><td>Texas A&M

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>
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</td><td>Honeywell Process Solutions

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</td><td>Honeywell Process Solutions

</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
to:
    <span class="_date_format">DD/MM/YYYY</span>
<br>Mar 25, 2014<br>11 AM Eastern</a>
</td><td nowrap>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
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   <span class="_start">15-04-2014 09:00:00</span>
    <span class="_end">15-04-2014 10:00:00</span>
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<br>Mar 25, 2014<br>11 AM Eastern</a>
</td><td nowrap>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
to:
<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap>Krystian Perez
</td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking
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    <span class="_end">22-04-2014 10:00:00</span>
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<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap>Krystian Perez
<
/td><td>University of Texas at Austin

<
/td></tr><tr><td>3 Minute Speed Networking
to:
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</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
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</td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems
to:
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</td><td nowrap>Ali Cinar
<
/td><td>Illinois Institute of Technology

<
/td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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<br>Sept 16, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
</td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
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</td></tr><tr><td>Process Integration & Optimization Using Dynamic Systems Models
</td><td>
</td><td nowrap>Jan 14, 2014
</td><td nowrap>Richard Boardman<br>Humberto Garcia
</td><td>Idaho National Laboratory
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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS
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</td></tr><tr><td>3 Minute Speed Networking
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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">22-04-2014 09:00:00</span>
    <span class="_end">22-04-2014 10:00:00</span>
    <span class="_zonecode">9</span>
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    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
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January 13, 2014, at 11:38 PM by 23.255.228.67 -
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</td><td><a href='/wiki/uploads/Main/apm_advanced_deepwater_monitoring_7Nov13.pdf'>Presentation</a> 
to:
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January 13, 2014, at 11:34 PM by 23.255.228.67 -
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January 13, 2014, at 11:33 PM by 23.255.228.67 -
Added lines 274-291:

</td></tr><tr><td>Control of Artificial Pancreas Systems
</td><td nowrap>
<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
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    <span class="_start">16-09-2014 09:00:00</span>
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    <span class="_zonecode">9</span>
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    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
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    <span class="_date_format">DD/MM/YYYY</span>
<br>Apr 15, 2014<br>11 AM Eastern</a>
</td><td nowrap>Ali Cinar
</td><td>Illinois Institute of Technology
January 13, 2014, at 10:36 AM by 23.255.228.67 -
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January 13, 2014, at 10:32 AM by 23.255.228.67 -
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(:cell:)
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January 13, 2014, at 10:29 AM by 23.255.228.67 -
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Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online.
to:
Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online. Sessions are sponsored by the Computing and Systems Technology (CAST) division of the American Institute of Chemical Engineers (AIChE) as the WebCAST series.
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December 26, 2013, at 06:22 AM by 23.255.228.67 -
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* [[https://docs.google.com/spreadsheet/embeddedform?formkey=dE9xMnNHVE9RRHRNM0lDeFg5VkRieWc6MQ | Nominate a seminar speaker]]
December 23, 2013, at 03:02 PM by 23.255.228.67 -
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December 23, 2013, at 08:40 AM by 23.255.228.67 -
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</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
to:
</td><td nowrap>Anand Govindarajan<br>Upasana<br>Manimegalai-Sridhar<br>R. Russell Rhinehart
December 23, 2013, at 08:40 AM by 23.255.228.67 -
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</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
to:
</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
December 23, 2013, at 08:35 AM by 23.255.228.67 -
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December 23, 2013, at 08:32 AM by 23.255.228.67 -
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December 23, 2013, at 08:28 AM by 23.255.228.67 -
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</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
to:
</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
December 23, 2013, at 08:28 AM by 23.255.228.67 -
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December 23, 2013, at 08:07 AM by 23.255.228.67 -
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December 23, 2013, at 07:52 AM by 23.255.228.67 -
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</td><td nowrap><a href='http://ate.so/?0PHkr0T'>Jan 14, 2014<br>9 AM MST</a>
</td><td nowrap>Richard Boardman<br>Humberto Garcia
</td><td>Idaho National Laboratory

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
Changed lines 58-59 from:
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to:
   <span class="_start">14-01-2014 09:00:00</span>
    <span class="_end">14-01-2014 10:00:00</span>
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to:
   <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
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<br>Jan 21, 2014<br>9 AM MST
to:
<br>Jan 14, 2014<br>11 AM Eastern</a>
</td><td nowrap>Richard Boardman<br>Humberto Garcia
</td><td>Idaho National Laboratory

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
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    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
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to:
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    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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<br>Mar 25, 2014<br>11 AM Eastern</a>
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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">15-04-2014 09:00:00</span>
    <span class="_end">15-04-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>
<br>Apr 15, 2014<br>11 AM Eastern</a>
December 23, 2013, at 07:33 AM by 23.255.228.67 -
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<a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">
    Add to Calendar
    <span class="_start">21-01-2014 09:00:00</span>
    <span class="_end">21-01-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Webinar</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
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Jan 21, 2014<br>9 AM MST
</a>
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</td><td nowrap><a href='http://ate.so/?JUD3H2r'>Jan 14, 2014<br>9 AM MST</a>
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</td><td nowrap><a href='http://ate.so/?0PHkr0T'>Jan 14, 2014<br>9 AM MST</a>
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</td><td nowrap><a href=''http://ate.so/?JUD3H2r>Jan 14, 2014<br>9 AM MST</a>
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</td><td nowrap><a href='http://ate.so/?JUD3H2r'>Jan 14, 2014<br>9 AM MST</a>
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</td><td nowrap><a href=''http://ate.so/?JUD3H2r>Jan 14, 2014<br>9 AM MST</a>
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</td><td><b>Date</b>
</td><td><b>
Time</b>
to:
</td><td><b>Date / Time</b>
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</td><td nowrap>Jan 14, 2013<br>9 AM MST
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</td><td>Feb 11, 2014
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</td><td>Feb 11, 2014<br>9 AM MST
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</td><td>Feb 18, 2014
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</td><td>Feb 18, 2014<br>9 AM MST
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</td><td>Feb 25, 2014
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</td><td>Feb 25, 2014<br>3 PM MST
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</td><td>Mar 4, 2014<br>9 AM MST
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</td><td>Mar 18, 2014<br>9 AM MDT
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</td><td>BYU.
to:
</td><td>BYU
December 15, 2013, at 07:37 AM by 23.255.228.67 -
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</td><td><a href='http://youtu.be/M_5OIOZcoBc'><img src='http://img.youtube.com/vi/M_5OIOZcoBc/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'><img src='http://img.youtube.com/vi/yNeTF8_XSyw/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>
to:
</td><td><a href='http://youtu.be/M_5OIOZcoBc'><img src='http://img.youtube.com/vi/M_5OIOZcoBc/default.jpg'></a><br><br><a href='http://youtu.be/yNeTF8_XSyw'><img src='http://img.youtube.com/vi/yNeTF8_XSyw/default.jpg'></a>
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<br><br><a href='/wiki/uploads/Main/mars_rover_curiosity.pdf'>Slides</a>
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</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'><img src='http://img.youtube.com/vi/1hnBFU-rFBY/default.jpg'></a>
to:
</td><td><a href='http://youtu.be/1hnBFU-rFBY'><img src='http://img.youtube.com/vi/1hnBFU-rFBY/default.jpg'></a>
December 15, 2013, at 07:34 AM by 23.255.228.67 -
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</td><td><b>Description</b>
to:
</td><td><b>Affiliation</b>
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</td><td>This presentation details environmental and economic progress on co-generation or multi-generation systems with SOFCs, nuclear, coal, natural gas power generation.
to:
</td><td>McMaster University
Changed lines 216-218 from:
</td><td nowrap>Hugh Hales, BYU
</td><td>Hugh Hales shares thoughts on careers, leadership, and reservoir engineering research.
to:
</td><td nowrap>Hugh Hales
</td><td>Brigham Young University
Changed lines 222-224 from:
</td><td>Reza Asgharzadeh Shishivan, BYU
</td><td>PhD prospectus defense on monitoring and control of energy systems, particularly with oil and gas drilling and production systems
to:
</td><td>Reza Asgharzadeh Shishivan
</td><td>Brigham Young University
Changed lines 229-230 from:
</td><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Improving Solid Oxide Fuel Cell performance through dynamic optimization.</a>
to:
</td><td>ExxonMobil Chemical<br>BYU
Changed lines 235-236 from:
</td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations.
to:
</td><td>Itasca Houston, Inc
Changed lines 240-242 from:
</td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa
</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.
to:
</td><td>John Eason and Selen Cremaschi
</td><td>Univ of Tulsa
Changed lines 246-248 from:
</td><td>Milan Vukov and Moritz Diehl, KU Leuven
</td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.
to:
</td><td>Milan Vukov<br>Moritz Diehl
</td><td>KU Leuven
Changed lines 252-254 from:
</td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin
</td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.
to:
</td><td nowrap>Cara R. Touretzky<br>Michael Baldea
</td><td>UT Austin
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</td><td>Wesley Cole, UT Austin <br><br>Jeremy Castagno, BYU
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
to:
</td><td>Wesley Cole<br><br>Jeremy Castagno
</td><td>UT Austin<br><br>BYU
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</td><td>Juan Ruiz, Visual MESA
</td><td>Even though there has been a significant increase in the use of MIP models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP).
to:
</td><td>Juan Ruiz
</td><td>Visual MESA
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</td><td>Kody Powell, UT Austin
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.
to:
</td><td>Kody Powell
</td><td>UT Austin
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</td><td>Todd Barber, NASA JPL
</td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).
to:
</td><td>Todd Barber
</td><td>NASA JPL
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</td><td>Liang Sun, BYU
</td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.
to:
</td><td>Liang Sun
</td><td>BYU
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</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs).  Other popular techniques for DAE simulation can often only handle up to index-1 DAEs.  New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.
to:
</td><td>BASF
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</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.

</td></tr><tr><td>Optimization of Design Under Uncertainty
to:
</td><td>BYU

</td></tr><tr><td>Optimization
of Design Under Uncertainty<br><a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>
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</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

</td></tr><tr><td>SBML Models in APM
to:
</td><td>BYU

</td></tr><tr><td><a href='/wiki/index.php/Main/SBML'>SBML Models in APM
</a>
Changed lines 313-314 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.
to:
</td><td>BYU.
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</td><td>Trevor Slade and Reza Asgharzadeh
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

</td
></tr><tr><td>Optimal Boiler Control
to:
</td><td>Trevor Slade<br>Reza Asgharzadeh
</td><td>BYU

</td></tr><tr><td>Optimal Boiler
Control - <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Demo Files</a>
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</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.  <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>
to:
</td><td>BYU
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</td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing.  Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.
to:
</td><td>CMiD Solutions
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</td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff
</td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants.  The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB
to:
</td><td>Reza Asgharzadeh<br>Chris Lyden<br>Jim Huff
</td><td>BYU / PAS

</td></tr><tr><td>Nonlinear Programming with <a href='http://apmonitor.com/wiki/index.php/Main/MATLAB'>APM MATLAB
</a>
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</td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization.  Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Nonlinear Programming with APM Python
to:
</td><td>BYU

</td></tr><tr><td>Nonlinear Programming with <a href='http://apmonitor.com/wiki/index.php/Main/PythonApp'>APM Python</a>
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</td><td>The APM interface extends Python to be used a variety of optimization applications.  Dynamic optimization programming applications are demonstrated with Python.
to:
</td><td>BYU
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</td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking.  Application of SOFCs in load following applications is discussed to improve lifecycle costs. 
to:
</td><td>BYU 
Changed lines 361-362 from:
</td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints.  Application of a UAV application is discussed from the MAGICC Lab group at BYU.
to:
</td><td>BYU
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</td><td>Kody Powell, UT Austin
</td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%.  Results from a recent study are discussed to demonstrate the benefits of dynamic optimization. 
to:
</td><td>Kody Powell
</td><td>UT Austin 
Changed lines 373-374 from:
</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application.  Simulated clinical trial data is aligned to an available model of HIV infection.
to:
</td><td>BYU
Changed line 379 from:
</td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties.  This application is using a PDAE model for estimation and control.  The model validation, control, and experimental data testing are discussed.
to:
</td><td>BYU
December 07, 2013, at 08:54 PM by 23.255.228.67 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBELJJTFW1ANQTW4RP8C7URO59-18BV'>Process Integration & Optimization Using Dynamic Systems Models</a>
</td><td nowrap>Jan 14, 2013
</td><td nowrap>9 AM MST
</td><td nowrap>Richard Boardman<br>Humberto Garcia
</td><td>Idaho National Laboratory
December 07, 2013, at 12:36 AM by 23.255.228.67 -
Changed lines 53-54 from:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a>
</td><td nowrap>Dec 3, 2013
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
</td><td nowrap>Jan 21, 2013
Deleted lines 55-60:
</td><td>Jose Mojica
</td><td>Brigham Young University

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
</td><td nowrap>Jan 21, 2013
</td><td nowrap>9 AM MST
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!!! 5 Steps to Start a Technical Presentation
to:
!!! Past Presentations
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<iframe width="560" height="315" src="http://www.youtube.com/embed/lWBr7ploeNM" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

!!! Past Presentations

(:html:)

<br>
<iframe width="560" height="315" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe>
<br>

to:
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</td></tr><tr><td>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning
</td><td><a href='http://youtu.be/0PbPhGcVtAw'><img src='http://img.youtube.com/vi/0PbPhGcVtAw/default.jpg'></a>
</td><td nowrap>Dec 3, 2013
</td><td>Jose Mojica
</td><td>Brigham Young University
November 19, 2013, at 09:59 PM by 69.169.137.17 -
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</td><td><a href='http://youtu.be/xq3ku8drlXA'>Presentation (62 min)</a>
to:
</td><td><a href='http://youtu.be/xq3ku8drlXA'><img src='http://img.youtube.com/vi/xq3ku8drlXA/default.jpg'></a>
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</td><td><a href='http://youtu.be/HAhXf9RBmhI'>Panel Discussion (61 min)</a>
to:
</td><td><a href='http://youtu.be/HAhXf9RBmhI'><img src='http://img.youtube.com/vi/HAhXf9RBmhI/default.jpg'></a>
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</td><td><a href='http://youtu.be/B_4DZ5UNiCo'>Presentation (51 min)</a>
to:
</td><td><a href='http://youtu.be/B_4DZ5UNiCo'><img src='http://img.youtube.com/vi/B_4DZ5UNiCo/default.jpg'></a>
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</td><td><a href='http://youtu.be/Sq5USrBOt-E'>Presentation (55 min)</a>
to:
</td><td><a href='http://youtu.be/Sq5USrBOt-E'><img src='http://img.youtube.com/vi/Sq5USrBOt-E/default.jpg'></a>
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</td><td><a href='http://youtu.be/20n_KtEy6Y4'>Presentation (40 min)</a>
to:
</td><td><a href='http://youtu.be/20n_KtEy6Y4'><img src='http://img.youtube.com/vi/20n_KtEy6Y4/default.jpg'></a>
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</td><td><a href='http://youtu.be/Dbk69Rh_ovY'>Presentation (35 min)</a>
to:
</td><td><a href='http://youtu.be/Dbk69Rh_ovY'><img src='http://img.youtube.com/vi/Dbk69Rh_ovY/default.jpg'></a>
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</td><td><a href='http://youtu.be/_7rHP9-mPj0'>Presentation (55 min)</a>
to:
</td><td><a href='http://youtu.be/_7rHP9-mPj0'><img src='http://img.youtube.com/vi/_7rHP9-mPj0/default.jpg'></a>
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</td><td>Improved Numerical Modeling  from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect  hydraulic fracturing performance in the presence of different operational parameters.
to:
</td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations.
Changed line 242 from:
</td><td><a href='http://youtu.be/bDa5isKRS-4'>Presentation (43 min)</a>
to:
</td><td><a href='http://youtu.be/bDa5isKRS-4'><img src='http://img.youtube.com/vi/bDa5isKRS-4/default.jpg'></a>
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</td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (57 min)</a>
to:
</td><td><a href='http://youtu.be/zMu1bSOlOAA'><img src='http://img.youtube.com/vi/zMu1bSOlOAA/default.jpg'></a>
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</td><td><a href='http://youtu.be/wQ0SsfzGo6I'>Presentation (34 min)</a>
to:
</td><td><a href='http://youtu.be/wQ0SsfzGo6I'><img src='http://img.youtube.com/vi/wQ0SsfzGo6I/default.jpg'></a>
Changed line 260 from:
</td><td><a href='http://youtu.be/M_5OIOZcoBc'>Presentation #1 (28 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'>Presentation #2 (14 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>
to:
</td><td><a href='http://youtu.be/M_5OIOZcoBc'><img src='http://img.youtube.com/vi/M_5OIOZcoBc/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'><img src='http://img.youtube.com/vi/yNeTF8_XSyw/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>
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</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation (34 min)</a>
to:
</td><td><a href='http://youtu.be/dfgzaVd8gLg'><img src='http://img.youtube.com/vi/dfgzaVd8gLg/default.jpg'></a>
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</td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.
to:
</td><td>Even though there has been a significant increase in the use of MIP models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP).
Changed lines 273-275 from:
<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1<br>(2.5 min)</a>
<br><br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2<br>(3 min)</a>
<br><br><a href='http://youtu.be/5DuNvTWg62Q'>Presentation (30 min)</a>
to:
<br><a href='http://youtu.be/wS8ru1IcVBs'><img src='http://img.youtube.com/vi/wS8ru1IcVBs/default.jpg'></a>
<br><br><a href='http://youtu.be/OG2TAYiHz6s'><img src='http://img.youtube.com/vi/OG2TAYiHz6s/default.jpg'></a>
<br><br><a href='http://youtu.be/5DuNvTWg62Q'><img src='http://img.youtube.com/vi/5DuNvTWg62Q/default.jpg'></a>
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</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction (2.5 min)</a>
<br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation (59 min)</a>
to:
</td><td><a href='http://youtu.be/N9hXqzkH7YA'><img src='http://img.youtube.com/vi/N9hXqzkH7YA/default.jpg'></a>
<br><br><a href='http://youtu.be/cfku_J4Ectk'><img src='http://img.youtube.com/vi/cfku_J4Ectk/default.jpg'></a>
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</td><td><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
to:
</td><td><a href='http://youtu.be/j2w66_yC7Jk'><img src='http://img.youtube.com/vi/j2w66_yC7Jk/default.jpg'></a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'><img src='http://img.youtube.com/vi/toJHFdG4N2A/default.jpg'></a>
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</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'>Webinar Video</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'><img src='http://img.youtube.com/vi/1hnBFU-rFBY/default.jpg'></a>
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</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.
to:
</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.
November 19, 2013, at 09:48 PM by 69.169.137.17 -
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</td><td><a href='http://www.youtube.com/watch?v=86W71ocI8Ww&feature=share&list=UU2GuY-AxnNxIJFAVfEW0QFA'>Presentation (59 min)</a>
to:
</td><td><a href='http://youtu.be/86W71ocI8Ww'><img src='http://img.youtube.com/vi/86W71ocI8Ww/default.jpg'></a>
November 19, 2013, at 09:44 PM by 69.169.137.17 -
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</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img src='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>
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</td><td><a href='http://youtu.be/vSSR3qvX_os'><img src='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>
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</td><td><a href='http://youtu.be/1E7uDNAWp5U'>Presentation (45 min)</a>
to:
</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img src='http://img.youtube.com/vi/1E7uDNAWp5U/default.jpg'></a>
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</td><td><a href='http://youtu.be/SpK-fhpI-Ic'>Presentation (42 min)</a>
to:
</td><td><a href='http://youtu.be/SpK-fhpI-Ic'><img src='http://img.youtube.com/vi/SpK-fhpI-Ic/default.jpg'></a>
November 19, 2013, at 09:42 PM by 69.169.137.17 -
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</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img href='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>
to:
</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img src='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>
November 19, 2013, at 09:42 PM by 69.169.137.17 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MB8BYLEHUE7W9NPTI2YFXTMF5Y-18BV'>Multicomponent Prediction Methods</a>
</td><td nowrap>Nov 19,
2013
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a>
</td><td nowrap>Dec 3
, 2013
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</td><td>Jacob Reynolds
</td><td>Washington River Protection Solutions

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a>
</td><td nowrap>Dec 3, 2013
</td><td nowrap>9 AM MST
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</td></tr><tr><td>Multicomponent Prediction Methods for Hanford Nuclear Waste
</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img href='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>
</td><td nowrap>Nov 19, 2013
</td><td>Jacob Reynolds
</td><td>Washington River Protection Solutions
November 18, 2013, at 08:13 AM by 69.169.137.17 -
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</td></tr><tr><td>Stochastic Optimal Control for Gas Networks
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>
November 18, 2013, at 08:10 AM by 69.169.137.17 -
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</td></tr><tr><td>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a>
November 18, 2013, at 07:23 AM by 69.169.137.17 -
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* [[http://byu.webex.com | Join Current WebEx Session]]
** Visit http://byu.webex.com
** Password: '''apm2013'''
** See
[[http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | YouTube Playlist]] for recordings
to:
* Select Presentation Title to Join Current WebEx Session
* Visit [[http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | YouTube Playlist]] for recordings
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</td></tr><tr><td>Multicomponent Prediction Methods
to:
</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MB8BYLEHUE7W9NPTI2YFXTMF5Y-18BV'>Multicomponent Prediction Methods</a>
November 14, 2013, at 02:50 PM by 128.187.97.20 -
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</td><td>Dow Chemical
to:
</td><td>University of Texas at Austin
November 14, 2013, at 02:49 PM by 128.187.97.20 -
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</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data
</td><td nowrap>Apr 15, 2014
</td><td nowrap>9 AM MDT
</td><td nowrap>Krystian Perez
November 13, 2013, at 02:36 PM by 128.187.97.20 -
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</td></tr><tr><td>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning
</td><td nowrap>Dec 3, 2013
</td><td nowrap>9 AM MST
</td><td>Jose Mojica
</td><td>Brigham Young University
November 12, 2013, at 11:59 PM by 69.169.137.17 -
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</td><td>Nov 19, 2013
to:
</td><td nowrap>Nov 19, 2013
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</td><td>Jan 21, 2013
to:
</td><td nowrap>Jan 21, 2013
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</td><td>Jan 28, 2014
to:
</td><td nowrap>Jan 28, 2014
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</td><td>Mar 25, 2014
to:
</td><td nowrap>Mar 25, 2014
November 12, 2013, at 09:59 PM by 69.169.137.17 -
Deleted lines 59-64:

</td></tr><tr><td>UAVs for Infrastructure <br>Monitoring
</td><td>Dec 5, 2013
</td><td nowrap>4 PM MST
</td><td>Kevin Franke
</td><td>BYU Civil Engineering
November 12, 2013, at 09:59 PM by 69.169.137.17 -
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</td><td>January 28, 2014
to:
</td><td>Jan 28, 2014
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</td><td>February 11, 2014
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</td><td>Feb 11, 2014
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</td><td>Feb 18, 2014
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</td><td>Feb 25, 2014
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</td><td>Mar 4, 2014
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</td><td>March 18, 2014
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</td><td>Mar 18, 2014
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</td><td>March 25, 2014
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</td><td>Mar 25, 2014
November 12, 2013, at 09:58 PM by 69.169.137.17 -
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</td></tr><tr><td>Stochastic Optimal Control for Gas Networks
</td><td>Jan 21, 2013
</td><td nowrap>9 AM MST
</td><td>Victor Zavala
</td><td>Argonne National Laboratory
November 12, 2013, at 09:56 PM by 69.169.137.17 -
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</td><td>Hokkaido University, Japan
to:
</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)
November 07, 2013, at 10:24 PM by 69.169.137.17 -
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</td></tr><tr><td><a href='/wiki/uploads/Main/2013_Wesley_Cole.pdf'>Improved Grid Management through Predictive Residential Air Conditioning Control</a>
</td><td>Oct 31, 2013
</td><td nowrap>4 PM MDT
</td><td>Wesley Cole
</td><td>The University of Texas at Austin

</td></tr><tr><td>Advanced Deep Water <br>Monitoring Systems
</td><td>Nov 7, 2013
</td><td nowrap>4 PM MST
</td><td>David Brower
</td><td>Astro Technology, Inc.

Added lines 164-175:

</td></tr><tr><td>Advanced Deep Water <br>Monitoring Systems
</td><td><a href='/wiki/uploads/Main/apm_advanced_deepwater_monitoring_7Nov13.pdf'>Presentation</a> 
</td><td>Nov 7, 2013
</td><td>David Brower
</td><td>Astro Technology, Inc.

</td></tr><tr><td><a href='/wiki/uploads/Main/2013_Wesley_Cole.pdf'>Improved Grid Management through Predictive Residential Air Conditioning Control</a>
</td><td><a href='http://youtu.be/1E7uDNAWp5U'>Presentation (45 min)</a>
</td><td>Oct 31, 2013
</td><td>Wesley Cole
</td><td>The University of Texas at Austin
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</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms
</td><td>February 25, 2014
</td><td nowrap>3 PM MST
</td><td>Martin Schlueter
</td><td>Hokkaido University, Japan

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(:htmlend:)
to:
(:htmlend:)
October 29, 2013, at 12:12 PM by 69.169.137.17 -
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** Contact support@apmonitor.com for assistance
October 29, 2013, at 12:05 PM by 69.169.137.17 -
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</td></tr><tr><td>Improved Grid Management through Predictive Residential Air Conditioning Control
to:
</td></tr><tr><td><a href='/wiki/uploads/Main/2013_Wesley_Cole.pdf'>Improved Grid Management through Predictive Residential Air Conditioning Control</a>
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</td><td>Robert Fourer
to:
</td><td nowrap>Robert Fourer
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</td><td>Anshul Agarwal<br>John Wassick
to:
</td><td nowrap>Anshul Agarwal<br>John Wassick
October 25, 2013, at 03:57 PM by 128.187.97.24 -
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</td></tr><tr><td>Supply Chain Optimization in Dow Chemical
</td><td>March 25, 2014
</td><td nowrap>9 AM MDT
</td><td>Anshul Agarwal<br>John Wassick
</td><td>Dow Chemical
October 25, 2013, at 10:12 AM by 69.169.137.17 -
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To participate in an upcoming presentation, click the link above to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported.  Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.

!!! 5 Steps to Start a Technical Presentation

Deleted lines 122-123:
To participate in an upcoming presentation, click the link above to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported.  Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.
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(:htmlend:)
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(:htmlend:)
October 25, 2013, at 10:10 AM by 69.169.137.17 -
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<iframe width="560" height="315" src="http://www.youtube.com/embed/LQ_hNDB9Z2s?list=PLLBUgWXdTBDgOlvGgbBDvHXdleSgEi9aj" frameborder="0" allowfullscreen></iframe>
to:
<iframe width="560" height="315" src="http://www.youtube.com/embed/lWBr7ploeNM" frameborder="0" allowfullscreen></iframe>
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(:keywords nonlinear, model, predictive control, APMonitor, differential, algebraic, modeling language:)
(:description Simulation, optimization, estimation,
and control with APMonitor:)

Webinars are held about every two-weeks. These seminars consist of applications and tutorials in mathematical modeling, estimation,
and optimization.
to:
(:keywords webinar, modeling, optimization, technical:)
(:description Browse sessions for the Symposium on Modeling
and Optimization, an online forum for sharing the latest applications and technological developments in process systems engineering.:)

Webinars consist of applications
and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online.
October 22, 2013, at 06:20 PM by 69.169.137.17 -
Deleted lines 55-60:
</td></tr><tr><td>Tuning the Static and Dynamic Performance of Microchannel Reactors
</td><td>Oct 22, 2013
</td><td nowrap>10 AM MDT
</td><td nowrap>Richard Pattison<br>Michael Baldea
</td><td>The University of Texas at Austin

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</td><td>Oct 29, 2013
</td><td nowrap>9 AM MDT
to:
</td><td>Oct 31, 2013
</td><td nowrap>4 PM MDT
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</td></tr><tr><td>Tuning the Static and Dynamic Performance of Microchannel Reactors
</td><td><a href='http://youtu.be/SpK-fhpI-Ic'>Presentation (42 min)</a>
</td><td>Oct 22, 2013
</td><td nowrap>Richard Pattison<br>Michael Baldea
</td><td>The University of Texas at Austin
October 21, 2013, at 10:23 AM by 128.187.97.26 -
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</td><td nowrap>Michael Baldea
to:
</td><td nowrap>Richard Pattison<br>Michael Baldea
October 16, 2013, at 11:20 AM by 128.187.97.26 -
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</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization
</td><td>Oct 15, 2013
</td><td nowrap>9 AM MDT
</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
</td><td>Oklahoma State University

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</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization
</td><td><a href='http://www.youtube.com/watch?v=86W71ocI8Ww&feature=share&list=UU2GuY-AxnNxIJFAVfEW0QFA'>Presentation (59 min)</a>
</td><td>Oct 15, 2013
</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
</td><td>Oklahoma State University
October 14, 2013, at 08:37 PM by 69.169.187.122 -
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</td><td nowrap>9 AM MST
to:
</td><td nowrap>9 AM MDT
October 14, 2013, at 08:27 PM by 69.169.187.122 -
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</td></tr><tr><td>Parallel Optimization
</td><td>March 4, 2014
to:
</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)
</td><td>February 18
, 2014
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</td><td>Jeff Kelly
</td><td>Industrial Algorithms

</td></tr><tr><td>Parallel Optimization
</td><td>March 4, 2014
</td><td nowrap>9 AM MST
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</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling
</td><td>March 18, 2014
</td><td nowrap>9 AM MST
</td><td>Jeff Renfro
</td><td>Honeywell Process Solutions
October 14, 2013, at 08:46 AM by 128.187.97.22 -
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</td></tr><tr><td>Tutorial on Bayesian Approaches for State and Parameter Estimation
</td><td>Oct 8, 2013
to:
</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization
</td><td>Oct 15, 2013
Deleted lines 58-63:
</td><td nowrap>Bhushan Gopaluni
</td><td>University of British Columbia, Vancouver

</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization
</td><td>Oct 15, 2013
</td><td nowrap>9 AM MDT
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</td></tr><tr><td>Tutorial on Bayesian Approaches for State and Parameter Estimation
</td><td><a href='http://youtu.be/xq3ku8drlXA'>Presentation (62 min)</a>
</td><td>Oct 8, 2013
</td><td nowrap>Bhushan Gopaluni
</td><td>University of British Columbia, Vancouver
October 12, 2013, at 09:27 PM by 69.169.131.204 -
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</td></tr><tr><td>New Interface Developments <br>with the AMPL Modeling Language & System
</td><td>January 28, 2014
</td><td nowrap>9 AM MST
</td><td>Robert Fourer
</td><td>Northwestern University
October 08, 2013, at 09:28 PM by 69.169.187.122 -
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** See [[http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP]] for recordings
to:
** See [[http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | YouTube Playlist]] for recordings
October 08, 2013, at 09:27 PM by 69.169.187.122 -
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** See [[http://www.youtube.com/watch?v=bDa5isKRS-4&feature=share&list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | APMonitorCom YouTube Channel]] for recordings
to:
** See [[http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP]] for recordings
October 07, 2013, at 09:45 AM by 69.169.187.122 -
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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
to:
</td></tr><tr><td>Tutorial on Bayesian Approaches for State and Parameter Estimation
October 05, 2013, at 01:04 PM by 69.169.131.210 -
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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><br><a href="/wiki/uploads/Main/olefin_speakers.pdf">Speaker Introduction</a><br><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>
</td><td>Oct 3
, 2013
to:
</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
<
/td><td>Oct 8, 2013
Deleted lines 58-63:
</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes
</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK

</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
</td><td>Oct 8, 2013
</td><td nowrap>9 AM MDT
Added lines 163-168:

</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><br><a href="/wiki/uploads/Main/olefin_speakers.pdf">Speaker Introduction</a><br><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>
</td><td><a href='http://youtu.be/HAhXf9RBmhI'>Panel Discussion (61 min)</a>
</td><td>Oct 3, 2013
</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes
</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK
October 02, 2013, at 06:41 AM by 69.169.188.188 -
Changed line 56 from:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><br><a href="/wiki/uploads/Main/olefin_speakers.pdf">Speaker Introduction</a><br><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>
October 01, 2013, at 06:13 PM by 128.187.97.24 -
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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a>
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>
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</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress
to:
</td></tr><tr><td>Future Polygeneration Systems
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</td><td>
to:
</td><td>This presentation details environmental and economic progress on co-generation or multi-generation systems with SOFCs, nuclear, coal, natural gas power generation.
Deleted lines 55-60:
</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress
</td><td>Sept 24, 2013
</td><td nowrap>10 AM MDT
</td><td nowrap>Thomas Adams, II
</td><td>McMaster University

Added lines 170-174:
</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress
</td><td><a href='http://youtu.be/B_4DZ5UNiCo'>Presentation (51 min)</a>
</td><td>Sept 24, 2013
</td><td nowrap>Thomas Adams, II
</td><td>
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</td><td nowrap>9 AM MDT
to:
</td><td nowrap>10 AM MDT
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</td></tr><tr><td>Tuning the Static and Dynamic Performance of Microchannel Reactors
</td><td>Oct 22, 2013
</td><td nowrap>9 AM MDT
</td><td nowrap>Michael Baldea
</td><td>The University of Texas at Austin
September 16, 2013, at 09:51 AM by 69.169.187.122 -
Deleted lines 55-60:
</td></tr><tr><td>Research and Careers in <br>Reservoir Engineering
</td><td>Sept 10, 2013
</td><td nowrap>3 PM MDT
</td><td nowrap>Hugh Hales
</td><td>Brigham Young University

Added lines 169-175:


</td></tr><tr><td>Research and Careers in Reservoir Engineering
</td><td><a href='http://youtu.be/Sq5USrBOt-E'>Presentation (55 min)</a>
</td><td>Sept 10, 2013
</td><td nowrap>Hugh Hales, BYU
</td><td>Hugh Hales shares thoughts on careers, leadership, and reservoir engineering research.
September 03, 2013, at 09:21 PM by 69.169.131.210 -
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</td></tr><tr><td>BYU Research and Careers in <br>Reservoir Engineering
to:
</td></tr><tr><td>Research and Careers in <br>Reservoir Engineering
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</td><td nowrap>9 AM MDT
to:
</td><td nowrap>10 AM MDT
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</td></tr><tr><td>TBD
to:
</td></tr><tr><td>Parallel Optimization
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</td></tr><tr><td>TBD
to:
</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress
Changed line 68 from:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges<br> for Olefins Production</a>
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a>
Added lines 55-60:

</td></tr><tr><td>BYU Research and Careers in <br>Reservoir Engineering
</td><td>Sept 10, 2013
</td><td nowrap>3 PM MDT
</td><td nowrap>Hugh Hales
</td><td>Brigham Young University
August 30, 2013, at 03:59 PM by 128.187.97.26 -
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</td><td nowrap>4 PM MDT
to:
</td><td nowrap>4 PM MST
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</td><td nowrap>9 AM MDT
to:
</td><td nowrap>9 AM MST
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</td><td nowrap>9 AM MDT
to:
</td><td nowrap>9 AM MST
August 30, 2013, at 03:58 PM by 128.187.97.26 -
Added lines 103-108:

</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly
</td><td>February 11, 2014
</td><td nowrap>9 AM MDT
</td><td>Martha Grover
</td><td>Georgia Tech
August 30, 2013, at 03:31 PM by 128.187.97.26 -
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</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow
to:
</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK
August 28, 2013, at 11:09 PM by 69.169.136.210 -
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<iframe width="640" height="360" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe>
to:

<br>
<
iframe width="560" height="315" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe>
<br
>
August 28, 2013, at 11:08 PM by 69.169.136.210 -
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(:html:)
<iframe width="560" height="315" src="http://www.youtube.com/embed/LQ_hNDB9Z2s?list=PLLBUgWXdTBDgOlvGgbBDvHXdleSgEi9aj" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

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(:html:)
<iframe width="560" height="315" src="http://www.youtube.com/embed/LQ_hNDB9Z2s?list=PLLBUgWXdTBDgOlvGgbBDvHXdleSgEi9aj" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

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<iframe width="640" height="360" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe>
August 28, 2013, at 11:04 PM by 69.169.136.210 -
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(:htmdend:)
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(:htmlend:)
August 28, 2013, at 11:04 PM by 69.169.136.210 -
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(:html:)
<iframe width="560" height="315" src="http://www.youtube.com/embed/LQ_hNDB9Z2s?list=PLLBUgWXdTBDgOlvGgbBDvHXdleSgEi9aj" frameborder="0" allowfullscreen></iframe>
(:htmdend:)
August 22, 2013, at 11:24 AM by 128.187.97.26 -
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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
</td><td>Sept 10
, 2013
to:
</td></tr><tr><td>TBD
</td><td>Sept 24,
2013
Deleted lines 58-63:
</td><td nowrap>Bhushan Gopaluni
</td><td>University of British Columbia, Vancouver

</td></tr><tr><td>TBD
</td><td>Sept 24, 2013
</td><td nowrap>9 AM MDT
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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
</td><td>Oct 8, 2013
</td><td nowrap>9 AM MDT
</td><td nowrap>Bhushan Gopaluni
</td><td>University of British Columbia, Vancouver
August 19, 2013, at 08:23 AM by 69.169.131.210 -
Added lines 103-108:

</td></tr><tr><td>TBD
</td><td>March 4, 2014
</td><td nowrap>9 AM MDT
</td><td>Carl Laird
</td><td>Texas A&M
August 12, 2013, at 03:23 PM by 128.187.97.26 -
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</td><td>TBD
to:
</td><td>Oct 15, 2013
August 12, 2013, at 11:29 AM by 69.169.131.210 -
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</td></tr><tr><td>Leap Frog Applications in APC and Plant Optimization
to:
</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization
August 12, 2013, at 11:17 AM by 69.169.131.210 -
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</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
to:
</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
August 12, 2013, at 11:16 AM by 69.169.131.210 -
Added lines 73-78:

</td></tr><tr><td>Leap Frog Applications in APC and Plant Optimization
</td><td>TBD
</td><td nowrap>9 AM MDT
</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart
</td><td>Oklahoma State University
August 12, 2013, at 10:59 AM by 69.169.131.210 -
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</td><td nowrap>9 AM MST
to:
</td><td nowrap>9 AM MDT
August 12, 2013, at 10:57 AM by 69.169.131.210 -
Added lines 73-78:

</td></tr><tr><td>Improved Grid Management through Predictive Residential Air Conditioning Control
</td><td>Oct 29, 2013
</td><td nowrap>9 AM MST
</td><td>Wesley Cole
</td><td>The University of Texas at Austin
August 12, 2013, at 10:26 AM by 69.169.131.210 -
Changed line 71 from:
</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft
to:
</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes
August 08, 2013, at 12:56 PM by 128.187.97.26 -
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</td></tr><tr><td>Monitoring, Control, and Optimization of Energy Infrastructure
</td><td>Aug 26, 2013
to:
</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
</td><td>Sept 10, 2013
Deleted lines 58-63:
</td><td nowrap>Reza Asgharzadeh Shishivan
</td><td>Brigham Young University

</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
</td><td>Sept 10, 2013
</td><td nowrap>9 AM MDT
Added lines 136-141:

</td></tr><tr><td>Monitoring, Control, and Optimization of Energy Infrastructure
</td><td><a href='http://youtu.be/20n_KtEy6Y4'>Presentation (40 min)</a>
</td><td>Aug 26, 2013
</td><td>Reza Asgharzadeh Shishivan, BYU
</td><td>PhD prospectus defense on monitoring and control of energy systems, particularly with oil and gas drilling and production systems
July 25, 2013, at 08:24 PM by 69.169.131.210 -
Added lines 55-60:

</td></tr><tr><td>Monitoring, Control, and Optimization of Energy Infrastructure
</td><td>Aug 26, 2013
</td><td nowrap>9 AM MDT
</td><td nowrap>Reza Asgharzadeh Shishivan
</td><td>Brigham Young University
July 24, 2013, at 01:41 PM by 207.108.233.67 -
Added line 14:
** Visit http://byu.webex.com
Added lines 78-83:

</td></tr><tr><td>Multicomponent Prediction Methods
</td><td>Nov 19, 2013
</td><td nowrap>9 AM MST
</td><td>Jacob Reynolds
</td><td>Washington River Protection Solutions
July 05, 2013, at 11:37 AM by 69.169.131.210 -
Added lines 60-65:

</td></tr><tr><td>TBD
</td><td>Sept 24, 2013
</td><td nowrap>9 AM MDT
</td><td nowrap>Thomas Adams, II
</td><td>McMaster University
July 02, 2013, at 03:00 PM by 128.187.97.18 -
Deleted lines 54-59:
</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of <br>a Solid Oxide Fuel Cell</a>
</td><td>July 2, 2013
</td><td nowrap>10 AM MDT
</td><td>Lee Jacobsen
</td><td>See <a href="http://www.linkedin.com/pub/lee-jacobsen/44/b92/148">LinkedIn Profile</a>

Added lines 123-128:

</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of <br>a Solid Oxide Fuel Cell</a>
</td><td><a href='http://youtu.be/Dbk69Rh_ovY'>Presentation (35 min)</a>
</td><td>July 2, 2013
</td><td><a href="http://www.linkedin.com/pub/lee-jacobsen/44/b92/148">Lee Jacobsen</a>
</td><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Improving Solid Oxide Fuel Cell performance through dynamic optimization.</a>
July 02, 2013, at 02:52 PM by 128.187.97.18 -
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</td></tr><tr><td>Tutorial on Estimation Methods for State and Parameter Estimation
to:
</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation
July 02, 2013, at 02:44 PM by 128.187.97.18 -
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</td></tr><tr><td>Tutorial on Estimation Methods <br>for State and Parameter Estimation
to:
</td></tr><tr><td>Tutorial on Estimation Methods for State and Parameter Estimation
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</td><td>Bhushan Gopaluni
to:
</td><td nowrap>Bhushan Gopaluni
July 02, 2013, at 02:43 PM by 128.187.97.18 -
Added lines 60-65:

</td></tr><tr><td>Tutorial on Estimation Methods <br>for State and Parameter Estimation
</td><td>Sept 10, 2013
</td><td nowrap>9 AM MDT
</td><td>Bhushan Gopaluni
</td><td>University of British Columbia, Vancouver
June 25, 2013, at 01:53 PM by 69.169.188.188 -
Changed line 73 from:
</td></tr><tr><td>UAVs for Infrastructure Monitoring
to:
</td></tr><tr><td>UAVs for Infrastructure <br>Monitoring
June 25, 2013, at 10:30 AM by 69.169.188.188 -
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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges for Olefins Production</a>
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges<br> for Olefins Production</a>
Changed line 67 from:
</td></tr><tr><td>Advanced Deep Water Monitoring Systems
to:
</td></tr><tr><td>Advanced Deep Water <br>Monitoring Systems
June 25, 2013, at 10:29 AM by 69.169.188.188 -
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</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of a Solid Oxide Fuel Cell</a>
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of <br>a Solid Oxide Fuel Cell</a>
June 25, 2013, at 10:28 AM by 69.169.188.188 -
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</td></tr><tr><td>Nonlinear MPC of a Solid Oxide Fuel Cell
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of a Solid Oxide Fuel Cell</a>
June 25, 2013, at 10:27 AM by 69.169.188.188 -
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</td><td nowrap>12 PM MDT
to:
</td><td nowrap>10 AM MDT
June 25, 2013, at 10:24 AM by 69.169.188.188 -
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</td><td>BYU / ExxonMobil Chemical
to:
</td><td>See <a href="http://www.linkedin.com/pub/lee-jacobsen/44/b92/148">LinkedIn Profile</a>
June 25, 2013, at 08:53 AM by 69.169.188.188 -
Deleted lines 65-70:

</td></tr><tr><td>Process Control in the Upstream Industry
</td><td>TBD
</td><td nowrap>4 PM MDT
</td><td>Michael Nikolaou
</td><td>University of Houston
June 18, 2013, at 04:00 PM by 128.187.97.18 -
Added lines 55-60:
</td></tr><tr><td>Nonlinear MPC of a Solid Oxide Fuel Cell
</td><td>July 2, 2013
</td><td nowrap>12 PM MDT
</td><td>Lee Jacobsen
</td><td>BYU / ExxonMobil Chemical

Changed lines 64-65 from:
</td><td>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft
</td><td>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow
to:
</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft
</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow
June 18, 2013, at 03:47 PM by 128.187.97.18 -
Changed line 55 from:
</td></tr><tr><td>New Opportunities in Olefins Production
to:
</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges for Olefins Production</a>
June 18, 2013, at 03:43 PM by 128.187.97.18 -
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</td></tr><tr><td>New Challenges and Opportunities in the Optimization of Olefins Production
to:
</td></tr><tr><td>New Opportunities in Olefins Production
June 18, 2013, at 03:42 PM by 128.187.97.18 -
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</td></tr><tr><td>Optimization of Olefins Production
to:
</td></tr><tr><td>New Challenges and Opportunities in the Optimization of Olefins Production
June 18, 2013, at 03:41 PM by 128.187.97.18 -
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</td><td>CMiD Solutions
to:
</td><td>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow
June 18, 2013, at 03:33 PM by 128.187.97.18 -
Changed line 58 from:
</td><td>Mark Darby
to:
</td><td>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft
May 23, 2013, at 09:19 AM by 69.169.188.188 -
Added lines 67-72:
</td></tr><tr><td>Advanced Deep Water Monitoring Systems
</td><td>Nov 7, 2013
</td><td nowrap>4 PM MST
</td><td>David Brower
</td><td>Astro Technology, Inc.

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</td><td>Oct 31, 2013
to:
</td><td>Dec 5, 2013
Deleted lines 77-82:

</td></tr><tr><td>Advanced Deep Water Monitoring Systems
</td><td>Nov 7, 2013
</td><td nowrap>4 PM MST
</td><td>David Brower
</td><td>Astro Technology, Inc.
May 23, 2013, at 09:18 AM by 69.169.188.188 -
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</td><td nowrap>4 PM MDT
to:
</td><td nowrap>9 AM MDT
May 23, 2013, at 09:13 AM by 69.169.188.188 -
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</td><td>Oct 17, 2013
to:
</td><td>Oct 3, 2013
May 21, 2013, at 03:35 PM by 128.187.97.23 -
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</td></tr><tr><td>UAVs for Infrastructure Monitoring
</td><td>Sept 19, 2013
to:
</td></tr><tr><td>Optimization of Olefins Production
</td><td>Oct 17, 2013
Deleted lines 57-62:
</td><td>Kevin Franke
</td><td>BYU Civil Engineering

</td></tr><tr><td>Optimization of Olefins Production
</td><td>Oct 10, 2013
</td><td nowrap>4 PM MDT
Added lines 66-71:

</td></tr><tr><td>UAVs for Infrastructure Monitoring
</td><td>Oct 31, 2013
</td><td nowrap>4 PM MDT
</td><td>Kevin Franke
</td><td>BYU Civil Engineering
May 21, 2013, at 03:25 PM by 128.187.97.23 -
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</td><td>Sept 12, 2013
to:
</td><td>Sept 19, 2013
May 21, 2013, at 03:18 PM by 128.187.97.23 -
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</td><td nowrap>4 PM MDT
to:
</td><td nowrap>4 PM MST
May 21, 2013, at 03:14 PM by 128.187.97.23 -
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</td></tr><tr><td>Advanced Deep Water Monitoring Systems
</td><td>Sept 26, 2013
to:
</td></tr><tr><td>Optimization of Olefins Production
</td><td>Oct 10, 2013
Deleted lines 63-68:
</td><td>David Brower
</td><td>Astro Technology, Inc.

</td></tr><tr><td>Optimization of Olefins Production
</td><td>Oct 10, 2013
</td><td nowrap>4 PM MDT
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</td><td>Oct 24, 2013
to:
</td><td>TBD
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</td></tr><tr><td>Advanced Deep Water Monitoring Systems
</td><td>Nov 7, 2013
</td><td nowrap>4 PM MDT
</td><td>David Brower
</td><td>Astro Technology, Inc.
May 09, 2013, at 10:38 AM by 128.187.97.23 -
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</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_fsw_15Nov11.pdf'>Presentation</a>
May 09, 2013, at 10:38 AM by 128.187.97.23 -
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</td><td>Presentation
to:
</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>
May 09, 2013, at 09:27 AM by 128.187.97.23 -
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</td><td><b>Description</b>

</td></tr><tr><td>Adaptive Model Reduction
</td><td>Jan 29, 2013
</td><td nowrap>9 AM MST
</td><td>Sivakumar Pitchaiah
</td><td>The seminar will cover the concepts and applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs).
to:
</td><td><b>Affiliation</b>

</td></tr><tr><td>UAVs for Infrastructure Monitoring
</td><td>Sept 12, 2013
</td><td nowrap>4 PM MDT
</td><td>Kevin Franke
</td><td>BYU Civil Engineering

</td></tr><tr><td>Advanced Deep Water Monitoring Systems
</td><td>Sept 26, 2013
</td><td nowrap>4 PM MDT
</td><td>David Brower
</td><td>Astro Technology, Inc
.

</td></tr><tr><td>Optimization of Olefins Production
</td><td>Oct 10, 2013
</td><td nowrap>4 PM MDT
</td><td>Mark Darby
</td><td>CMiD Solutions

</td></tr><tr><td>Process Control in the Upstream Industry
</td><td>Oct 24, 2013
</td><td nowrap>4 PM MDT
</td><td>Michael Nikolaou
</td><td>University of Houston

Changed line 84 from:
To participate in an upcoming presentation, click the link to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported.  Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.
to:
To participate in an upcoming presentation, click the link above to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported.  Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.
January 18, 2013, at 11:40 PM by 69.169.188.188 -
Deleted lines 54-59:
</td></tr><tr><td>Stimulation Optimization of Unconventional Resources
</td><td>Jan 18, 2013
</td><td nowrap>1 PM MST<br>2 PM CST
</td><td>Marisela Sanchez-Nagel
</td><td>Improved Numerical Modeling  from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect  hydraulic fracturing performance in the presence of different operational parameters.

Deleted line 60:
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</td></tr><tr><td>Stimulation Optimization of Unconventional Resources
</td><td><a href='http://youtu.be/_7rHP9-mPj0'>Presentation (55 min)</a>
</td><td>Jan 18, 2013
</td><td>Marisela Sanchez-Nagel
</td><td>Improved Numerical Modeling  from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect  hydraulic fracturing performance in the presence of different operational parameters.
January 11, 2013, at 11:56 AM by 69.169.188.188 -
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</td><td><b>Registration</b>
to:
</td><td><b>Presentation</b>
January 11, 2013, at 11:55 AM by 69.169.188.188 -
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** See [[http://www.youtube.com/watch?v=bDa5isKRS-4&feature=share&list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | APMonitorCom YouTube Channel]] for recorded webinars
to:
** See [[http://www.youtube.com/watch?v=bDa5isKRS-4&feature=share&list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | APMonitorCom YouTube Channel]] for recordings
January 11, 2013, at 11:54 AM by 69.169.188.188 -
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!!! Webinar Series on Modeling and Optimization
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Attach:apm_users.png
to:
[[https://byu.webex.com | Attach:apm_users.png]]
January 11, 2013, at 11:54 AM by 69.169.188.188 -
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(:cell:)
Attach:apm_users.png
January 11, 2013, at 11:52 AM by 69.169.188.188 -
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Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.
to:
Webinars are held about every two-weeks. These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.
January 11, 2013, at 11:51 AM by 69.169.188.188 -
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** See [[http://www.youtube.com/watch?v=bDa5isKRS-4&feature=share&list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP | APMonitorCom YouTube Channel]] for recorded webinars
January 11, 2013, at 11:47 AM by 69.169.188.188 -
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** Contact support@apmonitor.com for video conferencing assistance
to:
** Contact support@apmonitor.com for assistance
January 11, 2013, at 11:47 AM by 69.169.188.188 -
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** E-mail support [at] apmonitor.com for video conferencing assistance
to:
** Contact support@apmonitor.com for video conferencing assistance
January 11, 2013, at 11:46 AM by 69.169.188.188 -
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** Password: '''apm2012'''
to:
** Password: '''apm2013'''
January 11, 2013, at 11:45 AM by 69.169.188.188 -
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(:table border=0 width=100%:)
(:cell:)
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(:cell:)
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(:tableend:)
January 11, 2013, at 11:44 AM by 69.169.188.188 -
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** For support send e-mail to support [at] apmonitor.com
to:
** E-mail support [at] apmonitor.com for video conferencing assistance
January 11, 2013, at 11:43 AM by 69.169.188.188 -
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[[https://byu.webex.com | Attach:webex100.png]]

* [[http://byu.webex.com | Join Current WebEx Session]]
** Password: '''apm2012'''
** For support send e-mail to support [at] apmonitor.com

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</td><td><b>Registration</b>
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</td><td><a href='https://byu.webex.com/byu/j.php?J=628046528&PW=NOTM5Y2Q5ZjY2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>
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</td><td>Webinar
January 10, 2013, at 05:09 PM by 128.187.97.21 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?J=628046528&PW=NOTM5Y2Q5ZjY2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>
to:
</td><td>Webinar
January 10, 2013, at 04:58 PM by 128.187.97.21 -
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</td></tr><tr><td>Stimulation Optimization of Unconventional Resources
</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>
</td><td>Jan 18, 2013
</td><td nowrap>1 PM MST<br>2 PM CST
</td><td>Marisela Sanchez-Nagel
</td><td>Improved Numerical Modeling  from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect  hydraulic fracturing performance in the presence of different operational parameters.

January 07, 2013, at 08:10 PM by 69.169.188.188 -
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</td></tr><tr><td>TBD
to:
</td></tr><tr><td>Adaptive Model Reduction
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</td><td>Jan 15, 2012
</td><td nowrap>9 AM MST
</td><td>Jeff Kantor, Univ of Notre Dame
</td><td>

</td></tr><tr><td>Adaptive Model Reduction
</td><td>Webinar
November 29, 2012, at 07:27 PM by 69.169.188.188 -
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</td></tr><tr><td>Gene Expression
to:

</td></tr><tr><td>TBD
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</td><td>Dec 6, 2012
</td><td nowrap>4 PM MST
</td><td>Eric Haseltine, Vertex Pharmaceuticals
</td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.

</td></tr><tr><td>TBD
</td><td>Webinar
November 14, 2012, at 08:47 AM by 128.187.97.21 -
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</td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (43 min)</a>
to:
</td><td><a href='http://youtu.be/bDa5isKRS-4'>Presentation (43 min)</a>
November 13, 2012, at 04:18 PM by 128.187.97.21 -
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</td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.
to:
</td><td>The seminar will cover the concepts and applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs).
November 13, 2012, at 04:16 PM by 128.187.97.21 -
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</td><td>Sivakumar Pitchaiah, MEMC Electronic Materials
</td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.<br>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.
to:
</td><td>Sivakumar Pitchaiah
</td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.
November 13, 2012, at 04:16 PM by 128.187.97.21 -
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</td><td>Dec 11, 2012
to:
</td><td>Jan 15, 2012
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</td><td>Jeff Kantor, Univ of Notre Dame
</td><td>

</td></tr><tr><td>Adaptive Model Reduction
</td><td>Webinar
</td><td>Jan 29, 2013
</td><td nowrap>9 AM MST
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</td><td>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.

</td></tr><tr><td>TBD
</td><td>Webinar
</td><td>Jan 15, 2012
</td><td nowrap>9 AM MST
</td><td>Jeff Kantor, Univ of Notre Dame
</td><td>
to:
</td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.<br>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.
November 13, 2012, at 12:25 PM by 128.187.97.21 -
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</td></tr><tr><td>Efficient Surrogate Model Generation
to:
</td></tr><tr><td>Gene Expression
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</td><td>Nov 13, 2012
</td><td nowrap>9AM MST
</td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa
</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.

</td></tr><tr><td>Gene Expression
</td><td>Webinar
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</td></tr><tr><td>Efficient Surrogate Model Generation
</td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (43 min)</a>
</td><td>Nov 13, 2012
</td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa
</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.
November 08, 2012, at 09:09 AM by 128.187.97.21 -
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</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for optimization. This talk discusses three possible algorithms for efficient surrogate model building.
to:
</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.
November 08, 2012, at 09:08 AM by 128.187.97.21 -
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To participate in an upcoming presentation, click register and provide your name and e-mail address. Registration is used to communicate log-on information and a reminder notice just prior to the meetingThere is no charge to register for a webinar.  Users can participate via audio or video conference through a telephone or internet connection.
to:
To participate in an upcoming presentation, click the link to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supportedUsers can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.
November 08, 2012, at 09:05 AM by 128.187.97.21 -
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</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allows the use of traditional optimization algorithms for optimization of these systems. This talk discusses three possible algorithms for efficient surrogate model building.
to:
</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for optimization. This talk discusses three possible algorithms for efficient surrogate model building.
November 08, 2012, at 09:03 AM by 128.187.97.21 -
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</td></tr><tr><td>Fast NMPC and MHE tools
</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br>Password:<br> <b>apm2012</b></a>
</td><td>Nov. 6, 2012
</td><td nowrap>9AM MST<br>5PM CET
</td><td>Milan Vukov and Moritz Diehl, KU Leuven
</td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

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</td></tr><tr><td>Fast NMPC and MHE tools
</td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (57 min)</a>
</td><td>Nov. 6, 2012
</td><td>Milan Vukov and Moritz Diehl, KU Leuven
</td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.
November 08, 2012, at 09:01 AM by 128.187.97.21 -
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</td><td>Webinar
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>
November 05, 2012, at 06:47 AM by 69.169.188.228 -
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</td><td nowrap>9AM MDT<br>5PM CET
to:
</td><td nowrap>9AM MST<br>5PM CET
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</td><td nowrap>9AM MDT
to:
</td><td nowrap>9AM MST
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to:
</td><td nowrap>4 PM MST
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</td><td nowrap>9 AM MDT
to:
</td><td nowrap>9 AM MST
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</td><td nowrap>9 AM MST
November 04, 2012, at 09:17 PM by 69.169.188.228 -
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</td></tr><tr><td>TBD
to:
</td></tr><tr><td>Efficient Surrogate Model Generation
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</td><td>Selen Cremaschi<br>Univ of Tulsa
</td><td>
to:
</td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa
</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allows the use of traditional optimization algorithms for optimization of these systems. This talk discusses three possible algorithms for efficient surrogate model building.
November 03, 2012, at 09:41 PM by 69.169.188.228 -
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</td></tr><tr><td>TBD
</td><td>Webinar
</td><td>Jan 15, 2012
</td><td nowrap>9 AM MDT
</td><td>Jeff Kantor, Univ of Notre Dame
</td><td>
November 01, 2012, at 10:14 AM by 128.187.97.23 -
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</td></tr><tr><td>Proactive Energy Management Strategies for Buildings
</td><td>Presentation (32 min)
</td><td>Oct. 23, 2012
</td><td nowrap>9AM MDT
</td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin
</td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.

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</td></tr><tr><td>Proactive Energy Management Strategies for Buildings
</td><td><a href='http://youtu.be/wQ0SsfzGo6I'>Presentation (34 min)</a>
</td><td>Oct. 23, 2012
</td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin
</td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.
October 23, 2012, at 01:28 PM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br>Password:<br> <b>apm2012</b></a>
October 23, 2012, at 01:28 PM by 128.187.97.23 -
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</td><td nowrap>Presentation (32 min)
to:
</td><td>Presentation (32 min)
October 23, 2012, at 01:27 PM by 128.187.97.23 -
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</td><td nowrap><a href='https://byu.webex.com/byu/j.php?ED=214195087&UID=0&PW=NNDA0NDljNDcw&RT=MiM2 '>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>
to:
</td><td nowrap>Presentation (32 min)
October 23, 2012, at 01:26 PM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>
October 23, 2012, at 01:26 PM by 128.187.97.23 -
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</td><td>Webinar
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>
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</td><td>Wesley Cole, UT Austin
to:
</td><td>Wesley Cole, UT Austin <br><br>Jeremy Castagno, BYU
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</td><td nowrap>9AM MST
to:
</td><td nowrap>9AM MDT
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</td><td nowrap>9AM MDT<br>5PM CET
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</td><td nowrap>9AM MST
to:
</td><td nowrap>9AM MDT
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</td><td nowrap>4 PM
to:
</td><td nowrap>4 PM MDT
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</td><td nowrap>9 AM
to:
</td><td nowrap>9 AM MDT
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</td><td> 
to:
</td><td>Webinar
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</td></tr><tr><td>Fast NMPC and MHE tools
to:
</td></tr><tr><td>TBD
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</td><td>Nov. 6, 2012
</td><td nowrap>9AM MST<br>5PM CEST
</td><td>Milan Vukov and Moritz Diehl, KU Leuven
</td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

</td></tr><tr><td>TBD
</td><td>Webinar
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</td></tr><tr><td>Gene Expression
</td><td>Webinar
</td><td>Dec 6, 2012
</td><td nowrap>4 PM
</td><td>Eric Haseltine, Vertex Pharmaceuticals
</td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.
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</td></tr><tr><td>Gene Expression
to:
</td></tr><tr><td>Fast NMPC and MHE tools
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</td><td>Dec 6, 2012
</td><td nowrap>4 PM
</td><td>Eric Haseltine, Vertex Pharmaceuticals
</td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.
to:
</td><td>Nov. 6, 2012
</td><td nowrap>9AM MST<br>5PM CEST
</td><td>Milan Vukov and Moritz Diehl, KU Leuven
</td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

</td></tr><tr><td>TBD
</td><td>Webinar
</td><td>Nov 13, 2012
</td><td nowrap>9AM MST
</td><td>Selen Cremaschi<br>Univ of Tulsa
</td><td>
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</td><td>Cara R. Touretzky<br>Michael Baldea<br>UT Austin
to:
</td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin
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</td></tr><tr><td>TBD
</td><td><a href='https://byu.webex.com/byu/j.php?ED=211711962&RG=1&UID=0&RT=MiM2'>Join Webinar<br>Password <b>apm2012</b></a>
</td><td>Oct. 16, 2012
to:
</td></tr><tr><td>Proactive Energy Management Strategies for Buildings
</td><td nowrap><a href='https://byu.webex.com/byu/j.php?ED=214195087&UID=0&PW=NNDA0NDljNDcw&RT=MiM2 '>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>
</td><td>
Oct. 23, 2012
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</td><td>Michael Baldea, UT Austin
</td><td>

</td></tr><tr><td>TBD
</td><td> 
</td><td>Oct. 23, 2012
</td><td nowrap>9AM MST
</td><td>Selen Cremaschi, Univ of Tulsa
</td><td>
to:
</td><td>Cara R. Touretzky<br>Michael Baldea<br>UT Austin
</td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.
October 02, 2012, at 05:44 PM by 128.187.97.23 -
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</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #1 (28 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><br><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #2 (14 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #1</a>
to:
</td><td><a href='http://youtu.be/M_5OIOZcoBc'>Presentation #1 (28 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'>Presentation #2 (14 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>
October 02, 2012, at 05:42 PM by 128.187.97.23 -
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</td></tr><tr><td>Mixed Integer Nonlinear Programming
to:
</td></tr><tr><td>TBD
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</td><td>Oct. 2, 2012
to:
</td><td>Oct. 16, 2012
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</td><td>Wesley Cole, UT Austin
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
to:
</td><td>Michael Baldea, UT Austin
</td><td>
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</td><td>Oct. 16, 2012
to:
</td><td>Oct. 23, 2012
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</td><td>Michael Baldea, UT Austin
to:
</td><td>Selen Cremaschi, Univ of Tulsa
Deleted lines 61-67:
</td></tr><tr><td>TBD
</td><td> 
</td><td>Oct. 23, 2012
</td><td nowrap>9AM MST
</td><td>Selen Cremaschi, Univ of Tulsa
</td><td>

Added lines 127-132:

</td></tr><tr><td>Mixed Integer Nonlinear Programming
</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #1 (28 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><br><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #2 (14 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #1</a>
</td><td>Oct. 2, 2012
</td><td>Wesley Cole, UT Austin
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
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</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation Video</a>
to:
</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation (34 min)</a>
Deleted lines 46-52:

</td></tr><tr><td>Generalized Disjunctive Programming
</td><td><a href='https://byu.webex.com/byu/j.php?ED=210359857&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>Sept. 18, 2012
</td><td nowrap>9AM MST
</td><td>Juan Ruiz, Visual MESA
</td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.
Changed line 49 from:
</td><td>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=211711962&RG=1&UID=0&RT=MiM2'>Join Webinar<br>Password <b>apm2012</b></a>
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</td></tr><tr><td>Generalized Disjunctive Programming
</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation Video</a>
</td><td>Sept. 18, 2012
</td><td>Juan Ruiz, Visual MESA
</td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.
Changed lines 144-145 from:
<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1 (2.5 min)</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2 (3 min)</a>
to:
<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1<br>(2.5 min)</a>
<br><br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2<br>(3 min)</a>
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<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro 1 (2.5 min)</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Intro 2 (3 min)</a>
to:
<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1 (2.5 min)</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2 (3 min)</a>
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<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2</a>
to:
<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro 1 (2.5 min)</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Intro 2 (3 min)</a>
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</td></tr><tr><td>MPECs in Integrated Energy Storage, Forecasting, and Optimization
<
/td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
<br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a>
</td><td>Sept. 4
, 2012
to:
</td></tr><tr><td>Generalized Disjunctive Programming
</td><td><a href='https:
//byu.webex.com/byu/j.php?ED=210359857&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>Sept. 18, 2012
Deleted lines 51-57:
</td><td>Kody Powell, UT Austin
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.

</td></tr><tr><td>Generalized Disjunctive Programming
</td><td>
</td><td>Sept. 18, 2012
</td><td nowrap>9AM MST
Added lines 141-149:

</td></tr><tr><td>MPECs in Integrated Energy Storage, Forecasting, and Optimization
</td><td>
<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2</a>
<br><br><a href='http://youtu.be/5DuNvTWg62Q'>Presentation (30 min)</a>
</td><td>Sept. 4, 2012
</td><td>Kody Powell, UT Austin
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.
Added line 154:
<br><br><a href='/wiki/uploads/Main/mars_rover_curiosity.pdf'>Slides</a>
September 02, 2012, at 09:20 AM by 69.169.188.228 -
Changed line 48 from:
</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
to:
</td></tr><tr><td>MPECs in Integrated Energy Storage, Forecasting, and Optimization
Changed line 55 from:
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually.  This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.
to:
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.
Changed lines 152-153 from:
</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction</a>
<br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation</a>
to:
</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction (2.5 min)</a>
<br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation (59 min)</a>
Deleted lines 47-57:
</td></tr><tr><td>MHE for UAVs
</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a>
<br><br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
</td><td>Aug. 29, 2012
</td><td nowrap>7:30AM MST
</td><td>Liang Sun, BYU
</td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

</td></tr><tr><td>Mars Curiosity </td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a> <br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a> </td><td>Aug. 30, 2012 </td><td nowrap>1PM MST </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

Added lines 150-163:

</td></tr><tr><td>Mars Curiosity
</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction</a>
<br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation</a>
</td><td>Aug. 30, 2012
</td><td>Todd Barber, NASA JPL
</td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

</td></tr><tr><td>MHE for UAVs
</td><td><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
</td><td>Aug. 29, 2012
</td><td>Liang Sun, BYU
</td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.
August 28, 2012, at 12:43 PM by 128.187.97.23 -
Changed lines 57-74 from:
</td></tr><tr><td>MHE for UAVs
</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a>
<br><br><a
href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
</td><td>Aug. 29, 2012
</td><td nowrap>7:30AM MST
</td><td>Liang Sun, BYU
</td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from
the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

</td></tr><tr><td>Mars Curiosity
</td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a>
<br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a>
</td><td>Aug. 30, 2012
</td><td nowrap>1PM MST
</td><td>Todd Barber, NASA JPL
</td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving
the way for human exploration
. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).
to:
</td></tr><tr><td>Mars Curiosity </td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a> <br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a> </td><td>Aug. 30, 2012 </td><td nowrap>1PM MST </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td><a href='https://byu
.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
<br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a>
<br><a href='http://youtu
.be/OG2TAYiHz6s'>Video 2</a>
</td><td>Sept. 4, 2012
</td><td nowrap>9AM MST
</td><td>Kody Powell, UT Austin
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually.  This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.
August 28, 2012, at 12:42 PM by 128.187.97.23 -
Changed lines 57-64 from:
</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
<br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a>
</td><td>Sept. 4, 2012
</td><td nowrap>9AM MST
</td><td>Kody Powell, UT Austin
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually.  This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.
to:
</td></tr><tr><td>MHE for UAVs
</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a>
<br><br><a
href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
</td><td>Aug. 29, 2012
</td><td nowrap>7:30AM MST
</td><td>Liang Sun, BYU
</td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

</td></tr><tr><td>Mars Curiosity
</td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a>
<br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a>
</td><td>Aug. 30, 2012
</td><td nowrap>1PM MST
</td><td>Todd Barber, NASA JPL
</td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving
the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

August 28, 2012, at 12:33 PM by 128.187.97.23 -
Changed lines 49-51 from:
</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar - Password <b>optec2012</b></a>
<br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a>
<br><br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
August 28, 2012, at 12:32 PM by 128.187.97.23 -
Added lines 47-55:

</td></tr><tr><td>MHE for UAVs
</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar - Password <b>optec2012</b></a>
<br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a>
<br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>
</td><td>Aug. 29, 2012
</td><td nowrap>7:30AM MST
</td><td>Liang Sun, BYU
</td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.
August 18, 2012, at 11:06 AM by 69.169.131.76 -
Changed line 88 from:
</td><td>9AM MST<br>5PM CEST
to:
</td><td nowrap>9AM MST<br>5PM CEST
August 18, 2012, at 11:05 AM by 69.169.131.76 -
Changed line 88 from:
</td><td>9AM MST / 5 PM CEST
to:
</td><td>9AM MST<br>5PM CEST
August 18, 2012, at 11:04 AM by 69.169.131.76 -
Added lines 84-90:

</td></tr><tr><td>Fast NMPC and MHE tools
</td><td>
</td><td>Nov. 6, 2012
</td><td>9AM MST / 5 PM CEST
</td><td>Milan Vukov and Moritz Diehl, KU Leuven
</td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.
August 15, 2012, at 09:55 AM by 69.169.188.228 -
Changed line 88 from:
</td><td nowrap>4 PM MDT
to:
</td><td nowrap>4 PM
Added lines 91-97:

</td></tr><tr><td>TBD
</td><td>Webinar
</td><td>Dec 11, 2012
</td><td nowrap>9 AM
</td><td>Sivakumar Pitchaiah, MEMC Electronic Materials
</td><td>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.
August 15, 2012, at 09:51 AM by 69.169.188.228 -
Added lines 84-90:

</td></tr><tr><td>Gene Expression
</td><td>Webinar
</td><td>Dec 6, 2012
</td><td nowrap>4 PM MDT
</td><td>Eric Haseltine, Vertex Pharmaceuticals
</td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.
August 07, 2012, at 01:41 PM by 128.187.97.23 -
Changed lines 57-58 from:
</td></tr><tr><td>TBD
</td><td> 
to:
</td></tr><tr><td>Generalized Disjunctive Programming
</td><td>
Changed lines 62-63 from:
</td><td> 
to:
</td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.
 
August 01, 2012, at 05:15 PM by 69.169.131.76 -
Changed line 1 from:
(:title Symposium on Advanced Modeling and Optimization:)
to:
(:title Symposium on Modeling and Optimization:)
Changed line 7 from:
!!! Webinars on Modeling and Optimization
to:
!!! Webinar Series on Modeling and Optimization
August 01, 2012, at 05:14 PM by 69.169.131.76 -
Changed line 1 from:
(:title Symposium on Advanced Modeling and Optimization - Webinar Series:)
to:
(:title Symposium on Advanced Modeling and Optimization:)
August 01, 2012, at 05:14 PM by 69.169.131.76 -
Changed line 1 from:
(:title Modeling and Optimization Webinars:)
to:
(:title Symposium on Advanced Modeling and Optimization - Webinar Series:)
July 31, 2012, at 08:38 AM by 69.169.131.76 -
Added lines 50-51:
<br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a>
<br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a>
July 28, 2012, at 09:46 PM by 69.169.131.76 -
Changed line 62 from:
</td></tr><tr><td>TBD
to:
</td></tr><tr><td>Mixed Integer Nonlinear Programming
Changed lines 66-68 from:
</td><td>Selen Cremaschi, Univ of Tulsa
</td><td>
to:
</td><td>Wesley Cole, UT Austin
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
Changed line 76 from:
</td></tr><tr><td>Mixed Integer Nonlinear Programming
to:
</td></tr><tr><td>TBD
Changed lines 80-81 from:
</td><td>Wesley Cole, UT Austin
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
to:
</td><td>Selen Cremaschi, Univ of Tulsa
</td><td>
July 28, 2012, at 09:27 PM by 69.169.131.76 -
Changed line 52 from:
</td><td>Kody Powell
to:
</td><td>Kody Powell, UT Austin
Changed line 80 from:
</td><td>Wesley Cole
to:
</td><td>Wesley Cole, UT Austin
July 28, 2012, at 01:57 PM by 69.169.131.76 -
Changed line 78 from:
</td><td>Oct. 30, 2012
to:
</td><td>Oct. 23, 2012
July 28, 2012, at 01:42 PM by 69.169.131.76 -
Changed line 50 from:
</td><td>July 31, 2012
to:
</td><td>Sept. 4, 2012
Changed line 55 from:
</td></tr><tr><td>Mixed Integer Nonlinear Programming
to:
</td></tr><tr><td>TBD
Changed line 57 from:
</td><td>Sept. 4, 2012
to:
</td><td>Sept. 18, 2012
Changed lines 59-61 from:
</td><td>Wesley Cole
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
to:
</td><td>Juan Ruiz, Visual MESA
</td><td>
Changed line 64 from:
</td><td>Sept. 18, 2012
to:
</td><td>Oct. 2, 2012
Changed lines 66-68 from:
</td><td>Juan Ruiz, Visual MESA
</td><td> 
to:
</td><td>Selen Cremaschi, Univ of Tulsa
</td><td>
Changed line 71 from:
</td><td>Oct. 2, 2012
to:
</td><td>Oct. 16, 2012
Changed line 73 from:
</td><td>Selen Cremaschi, Univ of Tulsa
to:
</td><td>Michael Baldea, UT Austin
Changed line 76 from:
</td></tr><tr><td>TBD
to:
</td></tr><tr><td>Mixed Integer Nonlinear Programming
Changed line 78 from:
</td><td>Oct. 16, 2012
to:
</td><td>Oct. 30, 2012
Changed lines 80-81 from:
</td><td>Michael Baldea, UT Austin
</td><td>
to:
</td><td>Wesley Cole
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
July 26, 2012, at 07:45 PM by 141.114.79.244 -
Changed line 9 from:
Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA).  These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization applications.
to:
Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA).  These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.
July 26, 2012, at 07:42 PM by 141.114.79.244 -
Changed line 66 from:
</td><td>Juan Ruiz, VisualMesa
to:
</td><td>Juan Ruiz, Visual MESA
July 26, 2012, at 07:42 PM by 141.114.79.244 -
Changed line 1 from:
(:title Optimization and Advanced Control Seminars:)
to:
(:title Modeling and Optimization Webinars:)
Changed lines 7-9 from:
!!! Webinars on Optimization Applications

APM User's Group Webinars are held about every
two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
to:
!!! Webinars on Modeling and Optimization

Webinars are held about every
two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA).  These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization applications.
July 26, 2012, at 07:22 PM by 141.114.79.244 -
Added lines 61-81:

</td></tr><tr><td>TBD
</td><td> 
</td><td>Sept. 18, 2012
</td><td nowrap>9AM MST
</td><td>Juan Ruiz, VisualMesa
</td><td>

</td></tr><tr><td>TBD
</td><td> 
</td><td>Oct. 2, 2012
</td><td nowrap>9AM MST
</td><td>Selen Cremaschi, Univ of Tulsa
</td><td>

</td></tr><tr><td>TBD
</td><td> 
</td><td>Oct. 16, 2012
</td><td nowrap>9AM MST
</td><td>Michael Baldea, UT Austin
</td><td>
July 17, 2012, at 04:00 PM by 128.187.97.23 -
Changed line 108 from:
</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'>Webinar Video</a>
July 17, 2012, at 10:20 AM by 128.187.97.23 -
Changed line 108 from:
</td><td><a href='href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'''>Presentation</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a>
July 17, 2012, at 10:20 AM by 128.187.97.23 -
Deleted line 109:
</td><td nowrap>9AM MST
July 17, 2012, at 10:19 AM by 128.187.97.23 -
Changed lines 48-51 from:
</td></tr><tr><td>DAE Solution for Separation Processes
</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a><br>
Password: <b>apm2012</b>
</td><td>
July 17, 2012
to:
</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>July 31, 2012
Deleted lines 51-57:
</td><td>David Harney
</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs).  Other popular techniques for DAE simulation can often only handle up to index-1 DAEs.  New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>July 31, 2012
</td><td nowrap>9AM MST
Added lines 106-112:

</td></tr><tr><td>DAE Solution for Separation Processes
</td><td><a href='href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'''>Presentation</a>
</td><td>July 17, 2012
</td><td nowrap>9AM MST
</td><td>David Harney
</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs).  Other popular techniques for DAE simulation can often only handle up to index-1 DAEs.  New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.
July 13, 2012, at 09:47 AM by 128.187.97.23 -
Changed lines 49-50 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a><br>
Password: <b>apm2012</b
>
July 09, 2012, at 04:23 PM by 128.187.97.23 -
Changed line 49 from:
</td><td>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a>
June 11, 2012, at 11:21 AM by 128.187.97.21 -
Changed lines 48-50 from:
</td></tr><tr><td>Predicting Protein Structures
</td><td><a href='/wiki/uploads/Main/apm_protein_folding_22May12.pdf'>Presentation</a>
</td><td>May 22
, 2012
to:
</td></tr><tr><td>DAE Solution for Separation Processes
</td><td>  
<
/td><td>July 17, 2012
Deleted lines 51-64:
</td><td nowrap>Jose Mojica<br>Reza Asgharzadeh<br>Thomas Knotts<br>Josh Price
</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.

</td></tr><tr><td>Application of Model Predictive Control
</td><td> 
</td><td>June 12, 2012
</td><td nowrap>6AM MST
</td><td>Isak Nielsen
</td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications.  This presentation relates a practical application of linear MPC with models obtained by regression techniques.  Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>DAE Solution for Separation Processes
</td><td> 
</td><td>July 17, 2012
</td><td nowrap>9AM MST
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</td></tr><tr><td>Predicting Protein Structures
</td><td><a href='/wiki/uploads/Main/apm_protein_folding_22May12.pdf'>Presentation</a>
</td><td>May 22, 2012
</td><td nowrap>Jose Mojica<br>Reza Asgharzadeh<br>Thomas Knotts<br>Josh Price
</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.
May 22, 2012, at 08:53 PM by 69.169.131.76 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_protein_folding_22May12.pdf'>Presentation</a>
May 14, 2012, at 10:40 AM by 128.187.149.240 -
Changed line 52 from:
</td><td nowrap>Josh Price<br>Jose Mojica
to:
</td><td nowrap>Jose Mojica<br>Reza Asgharzadeh<br>Thomas Knotts<br>Josh Price
May 14, 2012, at 10:39 AM by 128.187.149.240 -
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</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='/wiki/uploads/Main/apm_genetic_algorithms_8May12.pdf'>Presentation</a> 
</td><td>May 8, 2012
to:
</td></tr><tr><td>Predicting Protein Structures
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>May 22, 2012
Deleted lines 51-57:
</td><td>Casey Abbott
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

</td></tr><tr><td>Predicting Protein Structures
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>May 22, 2012
</td><td nowrap>9AM MST
Added lines 127-132:

</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='/wiki/uploads/Main/apm_genetic_algorithms_8May12.pdf'>Presentation</a> 
</td><td>May 8, 2012
</td><td>Casey Abbott
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>
May 10, 2012, at 09:12 AM by 128.187.128.191 -
Changed line 60 from:
</td><td>Predicting protein structures is a critical area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.
to:
</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.
May 10, 2012, at 09:10 AM by 128.187.128.191 -
Changed line 59 from:
</td><td>Josh Price<br>Jose Mojica
to:
</td><td nowrap>Josh Price<br>Jose Mojica
May 10, 2012, at 09:10 AM by 128.187.128.191 -
Changed line 59 from:
</td><td>Josh Price<br>Reza Asgharzadeh<br>Jose Mojica
to:
</td><td>Josh Price<br>Jose Mojica
May 10, 2012, at 09:10 AM by 128.187.128.191 -
Added lines 54-60:

</td></tr><tr><td>Predicting Protein Structures
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>May 22, 2012
</td><td nowrap>9AM MST
</td><td>Josh Price<br>Reza Asgharzadeh<br>Jose Mojica
</td><td>Predicting protein structures is a critical area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.
May 08, 2012, at 03:37 PM by 128.187.97.23 -
Deleted lines 54-60:
</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>May 22, 2012
</td><td nowrap>9AM MST
</td><td>Kody Powell
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually.  This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

Added lines 68-74:

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>July 31, 2012
</td><td nowrap>9AM MST
</td><td>Kody Powell
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually.  This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.
May 08, 2012, at 01:36 PM by 128.187.97.18 -
Changed line 56 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a>
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>
May 08, 2012, at 09:55 AM by 128.187.97.21 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> 
to:
</td><td><a href='/wiki/uploads/Main/apm_genetic_algorithms_8May12.pdf'>Presentation</a> 
Changed lines 56-57 from:
</td><td>  
<
/td><td>May 15, 2012
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>
May 22, 2012
May 07, 2012, at 05:26 PM by 128.187.97.23 -
Changed lines 9-10 from:
APM User's Group Webinars are held about every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
to:
APM User's Group Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
Changed line 51 from:
</td><td nowrap>10AM MST
to:
</td><td nowrap>9AM MST
Changed line 58 from:
</td><td nowrap>10AM MST
to:
</td><td nowrap>9AM MST
Changed line 72 from:
</td><td nowrap>10AM MST
to:
</td><td nowrap>9AM MST
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</td><td nowrap>10AM MST
to:
</td><td nowrap>9AM MST
May 07, 2012, at 02:55 PM by 128.187.97.23 -
Changed line 53 from:
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.
to:
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>
May 07, 2012, at 02:54 PM by 128.187.97.23 -
Changed lines 48-50 from:
</td></tr><tr><td>SBML Models in APM
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slide Notes</a>
</td><td>April 23
, 2012
to:
</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> 
</td><td>May 8, 2012
Deleted lines 51-57:
</td><td>David Grigsby
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.

</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> 
</td><td>May 8, 2012
</td><td nowrap>10AM MST
Added lines 127-132:

</td></tr><tr><td>SBML Models in APM
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slide Notes</a>
</td><td>April 23, 2012
</td><td>David Grigsby
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.
April 24, 2012, at 10:54 AM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slides with Notes</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slide Notes</a>
April 24, 2012, at 10:53 AM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Notes</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slides with Notes</a>
April 24, 2012, at 10:53 AM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Notes</a>
April 23, 2012, at 01:20 PM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a>
to:
</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a>
April 17, 2012, at 12:36 PM by 128.187.97.23 -
Changed line 53 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.
to:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.
April 17, 2012, at 09:24 AM by 128.187.97.23 -
Changed line 53 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.
to:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.
April 17, 2012, at 09:24 AM by 128.187.97.23 -
Changed line 53 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the [[Main/SBML|conversion utility]] and solving SBML example problems.
to:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.
April 17, 2012, at 09:22 AM by 128.187.97.23 -
Changed line 53 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology.  This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.
to:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the [[Main/SBML|conversion utility]] and solving SBML example problems.
April 16, 2012, at 05:22 PM by 128.187.97.23 -
Changed line 53 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology.  This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.
to:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology.  This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.
April 13, 2012, at 08:48 AM by 69.169.131.76 -
Changed line 53 from:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology.  This presentation will provide a tutorial on using SBML models for dynamic simulation, parameter estimation, and optimization.
to:
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology.  This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.
April 13, 2012, at 08:46 AM by 69.169.131.76 -
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</td><td>April 24, 2012
to:
</td><td>April 23, 2012
April 06, 2012, at 10:29 AM by 128.187.97.23 -
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</td><td>David Grigsby and Casey Abbott
to:
</td><td>David Grigsby
Changed line 57 from:
</td><td>May 1, 2012
to:
</td><td>May 8, 2012
April 06, 2012, at 10:16 AM by 128.187.97.23 -
Changed lines 48-50 from:
</td></tr><tr><td>Fast Model Predictive Control
</td><td><a href='/wiki/uploads/Main/apm_fast_mpc_3Apr12.pdf'>Presentation</a> 
</td><td>April 3, 2012
to:
</td></tr><tr><td>SBML Models in APM
</td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>April 24, 2012
Deleted lines 51-57:
</td><td>Trevor Slade and Reza Asgharzadeh
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

</td></tr><tr><td>SBML Models in APM
</td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>April 24, 2012
</td><td nowrap>10AM MST
Added lines 135-140:
</td></tr><tr><td>Fast Model Predictive Control
</td><td><a href='/wiki/uploads/Main/apm_fast_mpc_3Apr12.pdf'>Presentation</a>
</td><td>April 3, 2012
</td><td>Trevor Slade and Reza Asgharzadeh
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

Added lines 147-194:
</td></tr><tr><td>Optimal Identification for Model Predictive Control
</td><td><a href='/wiki/uploads/Main/apm_darby_13Mar12.pdf'>Presentation</a> 
</td><td>March 13, 2012
</td><td>Mark Darby
</td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing.  Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.

</td></tr><tr><td>Thermal Oxidizer Boundary Value Management / InBound
</td><td nowrap><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation 1</a><br><a href='/wiki/uploads/Main/apm_pas_6Mar12.pdf'>Presentation 2</a> 
</td><td>March 6, 2012
</td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff
</td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants.  The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB
</td><td><a href='/wiki/uploads/Main/apm_tutorial_21Feb12.pdf'>Presentation</a> 
</td><td>February 21, 2012
</td><td>John Hedengren
</td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization.  Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Nonlinear Programming with APM Python
</td><td><a href='/wiki/uploads/Main/apm_tutorial_7Feb12.pdf'>Presentation</a> 
</td><td>February 7, 2012
</td><td>John Hedengren
</td><td>The APM interface extends Python to be used a variety of optimization applications.  Dynamic optimization programming applications are demonstrated with Python.

</td></tr><tr><td>Solid Oxide Fuel Cell Modeling and Control
</td><td><a href='/wiki/uploads/Main/apm_sofc_24Jan12.pdf'>Presentation</a> 
</td><td>January 24, 2012
</td><td>Lee Jacobsen
</td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking.  Application of SOFCs in load following applications is discussed to improve lifecycle costs. 

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following
</td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a>
</td><td>January 17, 2012
</td><td>Solomon Sun
</td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints.  Application of a UAV application is discussed from the MAGICC Lab group at BYU.

</td></tr><tr><td>Dynamic Energy Storage
</td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a>
</td><td>December 13, 2011
</td><td>Kody Powell, UT Austin
</td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%.  Results from a recent study are discussed to demonstrate the benefits of dynamic optimization. 

</td></tr><tr><td>Virus and Biological Modeling
</td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a>
</td><td>November 29, 2011
</td><td>Casey Abbott
</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application.  Simulated clinical trial data is aligned to an available model of HIV infection.

Deleted lines 199-246:

</td></tr><tr><td>Virus and Biological Modeling
</td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a>
</td><td>November 29, 2011
</td><td>Casey Abbott
</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application.  Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage
</td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a>
</td><td>December 13, 2011
</td><td>Kody Powell, UT Austin
</td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%.  Results from a recent study are discussed to demonstrate the benefits of dynamic optimization. 

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following
</td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a>
</td><td>January 17, 2012
</td><td>Solomon Sun
</td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints.  Application of a UAV application is discussed from the MAGICC Lab group at BYU.

</td></tr><tr><td>Solid Oxide Fuel Cell Modeling and Control
</td><td><a href='/wiki/uploads/Main/apm_sofc_24Jan12.pdf'>Presentation</a> 
</td><td>January 24, 2012
</td><td>Lee Jacobsen
</td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking.  Application of SOFCs in load following applications is discussed to improve lifecycle costs. 

</td></tr><tr><td>Nonlinear Programming with APM Python
</td><td><a href='/wiki/uploads/Main/apm_tutorial_7Feb12.pdf'>Presentation</a> 
</td><td>February 7, 2012
</td><td>John Hedengren
</td><td>The APM interface extends Python to be used a variety of optimization applications.  Dynamic optimization programming applications are demonstrated with Python.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB
</td><td><a href='/wiki/uploads/Main/apm_tutorial_21Feb12.pdf'>Presentation</a> 
</td><td>February 21, 2012
</td><td>John Hedengren
</td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization.  Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Thermal Oxidizer Boundary Value Management / InBound
</td><td nowrap><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation 1</a><br><a href='/wiki/uploads/Main/apm_pas_6Mar12.pdf'>Presentation 2</a> 
</td><td>March 6, 2012
</td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff
</td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants.  The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Optimal Identification for Model Predictive Control
</td><td><a href='/wiki/uploads/Main/apm_darby_13Mar12.pdf'>Presentation</a> 
</td><td>March 13, 2012
</td><td>Mark Darby
</td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing.  Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.
April 06, 2012, at 10:12 AM by 128.187.97.23 -
Changed line 9 from:
APM User's Group Webinars are held every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
to:
APM User's Group Webinars are held about every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
April 06, 2012, at 10:11 AM by 128.187.97.23 -
Changed lines 53-54 from:
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed.  This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.
to:
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.
Changed lines 56-57 from:
</td><td>
</td><td>April 17, 2012
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a>
</td><td>April 24
, 2012
Changed lines 59-60 from:
</td><td>David Grigsby
</td><td>
to:
</td><td>David Grigsby and Casey Abbott
</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology.  This presentation will provide a tutorial on using SBML models for dynamic simulation, parameter estimation, and optimization.
April 06, 2012, at 08:00 AM by 128.187.97.23 -
Added lines 54-60:

</td></tr><tr><td>SBML Models in APM
</td><td>
</td><td>April 17, 2012
</td><td nowrap>10AM MST
</td><td>David Grigsby
</td><td>
April 04, 2012, at 12:10 PM by 69.169.188.228 -
April 04, 2012, at 12:09 PM by 69.169.188.228 -
Changed line 69 from:
</td></tr><tr><td>Model Predictive Control for Friction Stir Welding
to:
</td></tr><tr><td>Application of Model Predictive Control
April 04, 2012, at 12:06 PM by 69.169.188.228 -
Changed line 142 from:
</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>
to:
</td><td>Presentation
April 03, 2012, at 01:13 PM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> 
to:
</td><td><a href='/wiki/uploads/Main/apm_fast_mpc_3Apr12.pdf'>Presentation</a>
April 02, 2012, at 09:32 PM by 69.169.188.228 -
Changed line 81 from:
</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs).  Other popular techniques for DAE simulation can often only handle up to index-1 DAEs.  New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and optimization.
to:
</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs).  Other popular techniques for DAE simulation can often only handle up to index-1 DAEs.  New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.
April 02, 2012, at 09:31 PM by 69.169.188.228 -
Changed line 78 from:
</td><td>TBD
to:
</td><td>July 17, 2012
April 02, 2012, at 02:54 PM by 128.187.97.23 -
Changed line 53 from:
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed.  This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.
to:
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed.  This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.
March 28, 2012, at 11:18 AM by 128.187.97.23 -
Changed line 48 from:
</td></tr><tr><td>Model Predictive Control for Friction Stir Welding
to:
</td></tr><tr><td>Fast Model Predictive Control
Changed lines 52-59 from:
</td><td>Isak Nielsen
</td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications.  This presentation relates a practical application of linear MPC with models obtained by regression techniques.  Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Fast Model Predictive Control
</td><td> 
</td><td>April 24, 2012
</td><td nowrap>10AM MST
</td><td>Trevor Slade
to:
</td><td>Trevor Slade and Reza Asgharzadeh
Added lines 68-74:

</td></tr><tr><td>Model Predictive Control for Friction Stir Welding
</td><td> 
</td><td>June 12, 2012
</td><td nowrap>6AM MST
</td><td>Isak Nielsen
</td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications.  This presentation relates a practical application of linear MPC with models obtained by regression techniques.  Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.
March 27, 2012, at 03:54 PM by 128.187.97.23 -
Changed line 48 from:
</td></tr><tr><td>Linear Model Predictive Control
to:
</td></tr><tr><td>Model Predictive Control for Friction Stir Welding
March 27, 2012, at 06:35 AM by 69.169.131.76 -
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</td><td nowrap>10AM MST
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</td><td nowrap>10AM MST
March 27, 2012, at 06:35 AM by 69.169.131.76 -
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</td><td nowrap>10AM MST
March 27, 2012, at 05:51 AM by 69.169.131.76 -
Changed lines 48-50 from:
</td></tr><tr><td>Optimal Boiler Control
</td><td><a href='/wiki/uploads/Main/apm_boilers_3Mar12.pdf'>Presentation</a>
</td><td>March 20, 2012
to:
</td></tr><tr><td>Linear Model Predictive Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a>  
</td><td>April 3, 2012
Deleted lines 51-57:
</td><td>Jose Mojica
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.  <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>

</td></tr><tr><td>Linear Model Predictive Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>April 3, 2012
</td><td nowrap>10AM MST
Added lines 134-140:

</td></tr><tr><td>Optimal Boiler Control
</td><td><a href='/wiki/uploads/Main/apm_boilers_3Mar12.pdf'>Presentation</a>
</td><td>March 20, 2012
</td><td nowrap>10AM MST
</td><td>Jose Mojica
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.  <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>
March 22, 2012, at 09:21 AM by 128.187.97.23 -
Changed line 102 from:
To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting.  There is no charge to register for a webinar.  Users can participate via audio or video conference through a telephone or internet connection.
to:
To participate in an upcoming presentation, click register and provide your name and e-mail address. Registration is used to communicate log-on information and a reminder notice just prior to the meeting.  There is no charge to register for a webinar.  Users can participate via audio or video conference through a telephone or internet connection.
March 21, 2012, at 02:52 PM by 128.187.97.23 -
Changed line 67 from:
</td><td>Traditionally, Model Predictive Control (MPC) is executed at a rate of 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed.  This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.
to:
</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed.  This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.
March 21, 2012, at 02:30 PM by 128.187.97.23 -
Added lines 61-67:

</td></tr><tr><td>Fast Model Predictive Control
</td><td> 
</td><td>April 24, 2012
</td><td nowrap>10AM MST
</td><td>Trevor Slade
</td><td>Traditionally, Model Predictive Control (MPC) is executed at a rate of 15-60 seconds.  Recent developments have explored storage and retrieval to increase the speed.  This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.
March 20, 2012, at 11:21 AM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a> Password: apm2012
to:
</td><td><a href='/wiki/uploads/Main/apm_boilers_3Mar12.pdf'>Presentation</a>
March 20, 2012, at 09:56 AM by 128.187.97.19 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a> 
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a> Password: apm2012 
March 20, 2012, at 09:33 AM by 128.187.97.23 -
Changed line 49 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> 
to:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a> 
March 20, 2012, at 09:18 AM by 128.187.97.23 -
Changed line 71 from:
</td><td>TBD
to:
</td><td>May 15, 2012
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</td><td>TBD
to:
</td><td>Sept. 4, 2012
March 20, 2012, at 08:53 AM by 128.187.97.23 -
Deleted line 131:
</td><td><b>Time</b>
Deleted line 137:
</td><td nowrap>8AM MST
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</td><td nowrap>8AM MST
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</td><td nowrap>8AM MST
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</td><td nowrap>8AM MST
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</td><td nowrap><b>10AM</b> MST
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</td><td nowrap>8AM MST
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</td><td nowrap>8AM MST
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</td><td nowrap>10AM MST
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</td><td nowrap>4PM MST
March 20, 2012, at 08:51 AM by 128.187.97.23 -
Changed line 9 from:
APM User's Group Webinars are held every two-weeks at 8 AM Mountain Time / 9 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
to:
APM User's Group Webinars are held every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.
March 20, 2012, at 08:50 AM by 128.187.97.23 -
Changed line 92 from:
</table>
to:
</table><br>
March 20, 2012, at 08:50 AM by 128.187.97.23 -
Changed line 59 from:
</td><td>Isak Nielsen and John Hedengren
to:
</td><td>Isak Nielsen
Added lines 68-88:

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization
</td><td> 
</td><td>TBD
</td><td nowrap>10AM MST
</td><td>Kody Powell
</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually.  This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

</td></tr><tr><td>DAE Solution for Separation Processes
</td><td> 
</td><td>TBD
</td><td nowrap>10AM MST
</td><td>David Harney
</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs).  Other popular techniques for DAE simulation can often only handle up to index-1 DAEs.  New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and optimization.

</td></tr><tr><td>Mixed Integer Nonlinear Programming
</td><td> 
</td><td>TBD
</td><td nowrap>10AM MST
</td><td>Wesley Cole
</td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships.  Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.
March 20, 2012, at 08:10 AM by 128.187.97.23 -
Changed line 53 from:
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.
to:
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.  <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>
March 19, 2012, at 01:46 PM by 128.187.97.23 -
Deleted lines 10-13:
!!! Past Presentations and Future Schedule

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting.  There is no charge to register for a webinar.  Users can participate via audio or video conference through a telephone or internet connection.

Changed lines 48-58 from:
</td></tr><tr><td>Friction Stir Welding
</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>
</td><td>November 15, 2011
</td><td nowrap>8AM MST
</td><td>Dustin Marshall
</td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties.  This application is using a PDAE model for estimation and control.  The model validation, control, and experimental data testing are discussed.

</td></tr><tr><td>Virus and Biological Modeling
</td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a>
</td><td>November 29, 2011
</td><td nowrap>8AM MST
to:
</td></tr><tr><td>Optimal Boiler Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>March 20, 2012
</td><td nowrap>10AM MST
</td><td>Jose Mojica
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

</td></tr><tr><td>Linear Model Predictive Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>April 3, 2012
</td><td nowrap>10AM MST
</td><td>Isak Nielsen and John Hedengren
</td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications.  This presentation relates a practical application of linear MPC with models obtained by regression techniques.  Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> 
</td><td>May 1, 2012
</td><td nowrap>10AM
MST
Changed lines 67-71 from:
</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application.  Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage
</td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a>
</td><td>December 13, 2011
to:
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.

</td></tr>

</table>
(:htmlend:)

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting.  There is no charge to register for a webinar.  Users can participate via audio or video conference through a telephone or internet connection.

!!! Past Presentations

(:html:)
<style type="text/css">
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<table class="sample">

<tr><td><b>Topic</b>
</td><td><b>Registration</b>
</td><td><b>Date</b>
</td><td><b>Time</b>
</td><td><b>Presenter</b>
</td><td><b>Description</b>

</td></tr><tr><td>Friction Stir Welding
</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>
</td><td>November 15, 2011
Changed lines 119-124 from:
</td><td>Kody Powell, UT Austin
</td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%.  Results from a recent study are discussed to demonstrate the benefits of dynamic optimization. 

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following
</td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a> 
</td><td>January 17, 2012
to:
</td><td>Dustin Marshall
</td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties.  This application is using a PDAE model for estimation and control.  The model validation, control, and experimental data testing are discussed.

</td></tr><tr><td>Virus and Biological Modeling
</td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a>
</td><td>November 29, 2011
Added lines 126-139:
</td><td>Casey Abbott
</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application.  Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage
</td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a>
</td><td>December 13, 2011
</td><td nowrap>8AM MST
</td><td>Kody Powell, UT Austin
</td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%.  Results from a recent study are discussed to demonstrate the benefits of dynamic optimization. 

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following
</td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a>
</td><td>January 17, 2012
</td><td nowrap>8AM MST
Deleted lines 176-196:

</td></tr><tr><td>Optimal Boiler Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>March 20, 2012
</td><td nowrap>10AM MST
</td><td>Jose Mojica
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

</td></tr><tr><td>Linear Model Predictive Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>April 3, 2012
</td><td nowrap>10AM MST
</td><td>Isak Nielsen and John Hedengren
</td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications.  This presentation relates a practical application of linear MPC with models obtained by regression techniques.  Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> 
</td><td>May 1, 2012
</td><td nowrap>10AM MST
</td><td>Casey Abbott
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.
March 13, 2012, at 09:05 PM by 69.169.131.76 -
Changed line 109 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=194630077&UID=501980762&PW=NYmI5MTM4Yjlk&RT=MiM2'>Join</a> 
to:
</td><td><a href='/wiki/uploads/Main/apm_darby_13Mar12.pdf'>Presentation</a> 
March 12, 2012, at 01:06 PM by 128.187.97.23 -
Added lines 107-113:

</td></tr><tr><td>Optimal Identification for Model Predictive Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=194630077&UID=501980762&PW=NYmI5MTM4Yjlk&RT=MiM2'>Join</a> 
</td><td>March 13, 2012
</td><td nowrap>4PM MST
</td><td>Mark Darby
</td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing.  Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.
March 06, 2012, at 01:16 PM by 128.187.97.23 -
Changed line 102 from:
</td><td><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation</a> 
to:
</td><td nowrap><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation 1</a><br><a href='/wiki/uploads/Main/apm_pas_6Mar12.pdf'>Presentation 2</a> 
Changed line 132 from:
(:htmlend:)
to:
(:htmlend:)
March 06, 2012, at 11:25 AM by 128.187.97.23 -
Changed line 102 from:
</td><td><a href='https://byu.webex.com/byu/j.php?ED=187746022&RG=1&UID=0&RT=MiM2'>Register</a> 
to:
</td><td><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation</a> 
March 05, 2012, at 09:32 AM by 69.169.131.76 -
Added lines 1-132:
(:title Optimization and Advanced Control Seminars:)
(:keywords nonlinear, model, predictive control, APMonitor, differential, algebraic, modeling language:)
(:description Simulation, optimization, estimation, and control with APMonitor:)

Attach:apm_users.png

!!! Webinars on Optimization Applications

APM User's Group Webinars are held every two-weeks at 8 AM Mountain Time / 9 AM Central Time (USA).  Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

!!! Past Presentations and Future Schedule

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting.  There is no charge to register for a webinar.  Users can participate via audio or video conference through a telephone or internet connection.

(:html:)
<style type="text/css">
table.sample {
border-width: 1px;
border-spacing: 0px;
border-style: outset;
border-color: blue;
border-collapse: collapse;
background-color: rgb(255, 255, 240);
}
table.sample th {
border-width: 1px;
padding: 1px;
border-style: inset;
border-color: gray;
background-color: white;
-moz-border-radius: ;
}
table.sample td {
border-width: 1px;
padding: 1px;
border-style: inset;
border-color: gray;
background-color: white;
-moz-border-radius: ;
}
</style>

<table class="sample">

<tr><td><b>Topic</b>
</td><td><b>Registration</b>
</td><td><b>Date</b>
</td><td><b>Time</b>
</td><td><b>Presenter</b>
</td><td><b>Description</b>

</td></tr><tr><td>Friction Stir Welding
</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>
</td><td>November 15, 2011
</td><td nowrap>8AM MST
</td><td>Dustin Marshall
</td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties.  This application is using a PDAE model for estimation and control.  The model validation, control, and experimental data testing are discussed.

</td></tr><tr><td>Virus and Biological Modeling
</td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a>
</td><td>November 29, 2011
</td><td nowrap>8AM MST
</td><td>Casey Abbott
</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application.  Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage
</td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a>
</td><td>December 13, 2011
</td><td nowrap>8AM MST
</td><td>Kody Powell, UT Austin
</td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%.  Results from a recent study are discussed to demonstrate the benefits of dynamic optimization. 

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following
</td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a>
</td><td>January 17, 2012
</td><td nowrap>8AM MST
</td><td>Solomon Sun
</td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints.  Application of a UAV application is discussed from the MAGICC Lab group at BYU.

</td></tr><tr><td>Solid Oxide Fuel Cell Modeling and Control
</td><td><a href='/wiki/uploads/Main/apm_sofc_24Jan12.pdf'>Presentation</a> 
</td><td>January 24, 2012
</td><td nowrap><b>10AM</b> MST
</td><td>Lee Jacobsen
</td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking.  Application of SOFCs in load following applications is discussed to improve lifecycle costs. 

</td></tr><tr><td>Nonlinear Programming with APM Python
</td><td><a href='/wiki/uploads/Main/apm_tutorial_7Feb12.pdf'>Presentation</a> 
</td><td>February 7, 2012
</td><td nowrap>8AM MST
</td><td>John Hedengren
</td><td>The APM interface extends Python to be used a variety of optimization applications.  Dynamic optimization programming applications are demonstrated with Python.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB
</td><td><a href='/wiki/uploads/Main/apm_tutorial_21Feb12.pdf'>Presentation</a> 
</td><td>February 21, 2012
</td><td nowrap>8AM MST
</td><td>John Hedengren
</td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization.  Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Thermal Oxidizer Boundary Value Management / InBound
</td><td><a href='https://byu.webex.com/byu/j.php?ED=187746022&RG=1&UID=0&RT=MiM2'>Register</a> 
</td><td>March 6, 2012
</td><td nowrap>10AM MST
</td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff
</td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants.  The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Optimal Boiler Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>March 20, 2012
</td><td nowrap>10AM MST
</td><td>Jose Mojica
</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

</td></tr><tr><td>Linear Model Predictive Control
</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> 
</td><td>April 3, 2012
</td><td nowrap>10AM MST
</td><td>Isak Nielsen and John Hedengren
</td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications.  This presentation relates a practical application of linear MPC with models obtained by regression techniques.  Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Optimization of Design Under Uncertainty
</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> 
</td><td>May 1, 2012
</td><td nowrap>10AM MST
</td><td>Casey Abbott
</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.

</td></tr>

</table>
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