Schedule for FOPAM 2023

Schedule

Mon 31 July | Tue 1 Aug | Wed 2 Aug | Thu 3 Aug

Day

Morning

Afternoon

Evening

Sun, Jul 30, 2023

Arrival

1:00-4:30pm: Optional Workshop on "Fundamentals and Applications of Analytics and Machine Learning" at the UC Davis Conference Center, led by Leo H. Chiang, Dow; R. Bhushan Gopaluni, Univ British Columbia; and Ali Mesbah, University of California Berkeley (content outlined at this link)

[Biobreaks plus an ice-cream break at 2:45pm]

Hosted hospitality

Mon, Jul 31, 2023

8:30am-12 noon: Optional workshop (continued)

[10:00am Coffee and snack break]

Noon-1:00pm: Box lunches for workshop participants.

1:00-4:30pm: Optional workshop (concluded).

6:00-7:00pm: Welcome Reception at the UC Davis Conference Center

7:00 pm: Conference introduction/overview by meeting chairs;

Keynote speaker: Cenk Ündey, VP and Global Head of PTD Data & Digital, Roche / Genentech: "Unlocking Full Potential of Data and Digital: Enabling Speed, Efficiency and Culture in Pharmaceutical Technical Development"

8:30-10:00pm: Hospitality

Tue, Aug 1, 2023

8:00-9:00am: Light breakfast

Emerging Methods in Machine Learning and Data Science; Chair: R. Bhushan Gopaluni, Univ British Columbia

9:00-9:45am: Victor M. Zavala, Baldovin-DaPra Professor, University of Wisconsin Madison: "Topological Data Analysis: Concepts, Tools, and Applications"

9:45-10:30am: Ioannis Kevrekidis, Bloomberg Distinguished Professor, The Johns Hopkins University: "Physics-informed machine learning for equation-free and variable-free modeling"

10:30-11:00am: Break

11:00-11:45am: Panel Discussion / Q&A with discusser Demetris Lappas, AspenTech

11:45am: Group picture

Noon to 1:30pm: Lunch, including "Diversity in Analytics and Machine Learning" tables hosted by Martha Grover, Georgia Tech, Bea Braun, Dow, Victor M. Zavala, U. Wisconsin

1:30-3:30pm: Poster Session 1 (odd-numbered posters in the list, Chair: Matthew J. Ellis, UC Davis)

3:45-5:00pm: Leave for optional FOPAM tour of the Pilot Plant Winery at the Robert Mondavi Institute for Wine and Food Science; led by Karen Block, UC Davis

Industrial Data-Science Applications I; Chair: Richard D. Braatz, MIT

7:00-7:45pm: José Tabora, Senior Scientific Director, Bristol-Myers Squibb: "On the democratization of mathematical models in Pharmaceutical Development"

7:45-8:30pm: Detlef Hohl, Chief Scientist - Computation and Data Science, Shell: "Computational Science and AI in the Energy Transition Industry"

8:30-8:45pm: Bio-break

8:45-9:30pm: Panel Discussion / Q&A with discusser Bea Braun, Dow

9:30-10:30pm: Hospitality

Wed, Aug 2, 2023

8:00-9:00am: Light breakfast

Machine Learning for Process and Product Chemistry, Chair: Paulette Clancy, The Johns Hopkins University

9:00-9:45am: Zachary Ulissi, Research Scientist, Fundamental AI Research Lab, Meta : "Large Open Datasets and Graph Neural Networks for Generalizable Models in Catalysis"

9:45-10:30am: Kristen Severson, Senior Researcher, Microsoft: "Data-driven design of concrete with amortized Gaussian processes and multi-objective optimization"

10:30-11:00am: Break

11:00-11:45am: Panel Discussion / Q&A with discusser Vincent Shen, NIST

Noon to 1:30pm: Lunch, including "Diversity in Analytics and Machine Learning" tables hosted by Martha Grover, Georgia Tech, Bea Braun, Dow, Victor M. Zavala, U. Wisconsin

1:30-3:30pm: Poster Session 2 (even-numbered posters in the list, Chair: Matthew J. Ellis, UC Davis)

3:45-5:00pm: Leave for optional FOPAM tour of the UC Davis Coffee Lab as featured on CBS; led by Tonya Kuhl, UC Davis.

Industrial Data-Science Applications II, Chair: Aycan Hacioglu, Mathworks

7:00-7:45pm: Salvador García Muñoz, Executive Director - Engineering, Eli Lilly: "Application of data-science in developing new medicines and their manufacturing process"

7:45-8:30pm: Bea Braun, Sr. Research Scientist - Data Science and Hybrid Modeling, Dow: "Machine Learning in the Chemical Industry – Success Stories and What We Need to Move to Scale"

8:30-8:45pm: Bio-break

8:45-9:30pm: Panel Discussion / Q&A with discusser Rohit Patwardhan, Saudi Aramco

9:30-10:30pm: Hospitality

Thu, Aug 3, 2023

8:00-9:00am: Light breakfast

Data Science for Processes and Control, Chair: Ali Mesbah, University of California Berkeley

9:00-9:45am: Rolf Findeisen, Prof. Dr.-Ing., Technische Universität Darmstadt: "Machine learning for cyber-physical systems"

9:45-10:30am: Xiaonan Wang, Associate Professor, Tsinghua University / National University of Singapore: "Smart systems engineering contributing to material and process development for a carbon-neutral future"

10:30-11:00am: Break

11:00-11:45am: Panel Discussion / Q&A with discusser Andrew Allman, University of Michigan

Noon to 1:30pm: Lunch, including "What is expected by employers" tables hosted by Leo Chiang, Dow, Kristen Severson, Microsoft, and John Matranga, RtDataOps

Past and Future of PAML, including Education and Workforce Development, Chair: Eva Sorensen, University College London

1:30-2:15pm: Venkat Venkatasubramanian, Samuel Ruben-Peter G. Viele Professor of Engineering, Columbia University: "Combining Symbolic and Numeric AI: Challenges and Opportunities in Research and Education"

2:15-3:00 pm: John D. Hedengren, Professor, Brigham Young University: "Data-Driven Engineering Education with Hands-On Learning"

3:00-3:15pm: Break

3:15-4:00pm: Panel Discussion / Q&A, with discusser Warren D. Seider, Univ Pennsylvania

6:30pm: Banquet reception at the Robert Mondavi Institute for Wine and Food Science

7:00pm: Conference Banquet with after-dinner rapporteurs Martha Grover, Georgia Tech, and Richard Braatz, MIT

Conference Organization

Meeting Program Chairs

Leo H. Chiang (Dow Chemical)

Leo H. Chiang is a Technology Fellow at The Dow Chemical Company Technology responsible for Advanced Analytics and AI programs for global Operations. Leo has developed and implemented several data analytics techniques to solve complex manufacturing problems, resulting in 11 Dow Manufacturing Technology Center Awards. In 2016 he received the Dow R&D Excellence in Science Award in recognition of his scientific achievement in industrial research. Leo has a B.S. degree from University of Wisconsin at Madison and M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign, all in Chemical Engineering. Leo has contributed to over 40 externally refereed journal/proceedings papers and has given over 80 conference presentations and university lectures. Leo has co-authored two books published by Springer Verlag. His textbook Fault Detection and Diagnosis in Industrial Systems is available in English and Chinese and has received over 2,000 citations according to Google Scholar. Leo is active in American Institute of Chemical Engineers (AIChE), having served as 2014-2016 Computing and Systems Technology (CAST) director, 2016 CAST 10E programming chair, and 2017-2018 AIChE spring meeting program chair (MPC). Leo was instrumental in setting up the Big Data Analytics Topical Conference (2015 to 2017) and Industry 4.0 Topical Conference (2018-2019) at the AIChE spring meeting. He was recognized by the AIChE with the 2016 Herbert Epstein Award for his leadership on Big Data Analytics technical programming and 2016 Computing Practice Award for his world-class leadership in the development and application of methodologies in analytics for batch and continuous processes known as Big Data.

Phillip R. Westmoreland (North Carolina State University)

Phillip R. Westmoreland is a professor at North Carolina State University, Raleigh NC, in the Department of Chemical and Biomolecular Engineering. During November 2015 until July 2016, he was Leverhulme Trust Visiting Professor in the Department of Mechanical Engineering at Imperial College.He was a Research Engineer in the coal-conversion program at Oak Ridge National Laboratory from 1974-79, was on the faculty of the Chemical Engineering Department at the University of Massachusetts Amherst from 1986-2009, and served at the National Science Foundation in 2006-2009. He is also Honorary Professor at Nanjing University of Technology and served as Professeur invité at the Université de Lorraine. He served as 2013 President of AIChE, the American Institute of Chemical Engineers, and is a currently a trustee of the educational nonprofit CACHE Corporation, having served as its president in 2004-06. He is a past board member of the Combustion Institute (2002-2014), the Council for Chemical Research (2005-07), and AIChE (2009-11), and he was the founding Chair of AIChE's Computational Molecular Science and Engineering Forum.

Arrangements Chair

Ahmet Palazoglu (UC Davis)

Program Committee

Tom Badgwell (Collaborative Systems Integration)

Thomas A. Badgwell is Chief Technology Officer at Collaborative Systems Integration in Clinton, NJ. He received a BS degree from Rice University and MS and PhD degrees from the University of Texas at Austin, all in Chemical Engineering. Tom's career has focused on modeling, optimization, and control of chemical processes, with past positions at Setpoint, Fisher/Rosemount, Rice University, and Aspen Technology. He is a Fellow of the American Institute of Chemical Engineers (AIChE), where he recently served as a Director of the Computing and Systems Technology (CAST) Division. Tom received the Computing Practice Award from the AIChE CAST Division in 2013. He is an Associate Editor for the Journal of Process Control.

Richard Braatz (MIT)

Richard D. Braatz is the Edwin R. Gilliland Professor and Faculty Research Officer of Chemical Engineering at the Massachusetts Institute of Technology (MIT) where he does research in process data analytics and control theory and their application to advanced manufacturing systems. He has consulted or collaborated with more than 20 companies including IBM, United Technologies Corporation, Dow Chemical, Merck, and Novartis. His work has been recognized by the Donald P. Eckman Award, the Curtis W. McGraw Research Award, the IEEE Control Systems Society Transition to Practice Award, and the AIChE CAST Computing in Chemical Engineering Award, and he is Fellow of IEEE, IFAC, AAAS, and AIChE. His coauthored publications include the textbook "Fault Detection and Diagnosis in Industrial Systems" published by Springer Verlag in 2001. He is the President of the American Automatic Control Council and a member of the National Academy of Engineering.

Paulette Clancy (Johns Hopkins)

Selen Cremaschi (Auburn)

Selen Cremaschi is the B. Redd Associate Professor of Chemical Engineering at Auburn University. Her research interests are risk management, optimization, process synthesis, and planning under uncertainty. Her research group works at the intersection of operations research and chemical engineering, and develops systems analysis and decision support tools for complex systems, mainly focusing on healthcare and energy industry. Prior to joining Auburn University, she was a faculty member of the Russell School of Chemical Engineering at the University of Tulsa. She was the recipient of a Tulsa Tau Beta Pi Teaching Excellence award (2010), an NSF CAREER award (2011), and a Zelimir Schmidt Award for Outstanding Researcher (2013) among others. Her research work has been consistently supported by industrial collaborations in addition to federal agencies. She earned a Ph.D. from Purdue University and a M.S. and B.S. from Bogazici University (Turkey), all in chemical engineering.

Martha Grover (Georgia Tech)

Martha Grover is a Professor in the School of Chemical & Biomolecular Engineering at Georgia Tech. She earned her BS in Mechanical Engineering from the University of Illinois, Urbana-Champaign, and her MS and PhD in Mechanical Engineering from Caltech. She joined Georgia Tech as an Assistant Professor in 2002, and received an NSF CAREER award in 2004. In 2011 she received the Outstanding Young Researcher Award from the Computing and Systems Technology Division of AIChE. Her research program is dedicated to understanding, modeling, and engineering the self-assembly of atoms and small molecules to create larger scale structures and complex functionality. Her approach draws on process systems engineering, combining modeling and experiments in applications dominated by kinetics, including surface deposition, crystal growth, polymer reaction engineering, and colloidal assembly. She is a member of the NSF/NASA Center for Chemical Evolution, and the Georgia Tech Center for Organic Photonics and Electronics.

Jay Lee (KAIST)

Jean Tom (Bristol Myers Squibb)

Technical Sponsor

CACHE Corporation

CACHE (cache.org) is a 501(c)(3) not-for-profit that promotes the development and distribution of computer-related and/or technology-based educational aids for the chemical engineering profession.

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