AMP's - Digital Manufacturing and Processing Workshop (June 3, 2021)

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    1.5 hours
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    Academy Video
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In the broad sense, Digital Manufacturing (DM) refers to manufacturing and processing practices that harness computation, both offline and real-time, to improve product quality, profitability, and safety. The introduction of DM in the chemical process industry, however, depends on our ability to innovate on multiple fronts, to include modeling, simulation and optimization capabilities, cyber-physical interfaces, advanced process control paradigms, data-driven analytics, as well as the introduction of ever more powerful and reliable IT infrastructure.

In this context, fruitful interactions between researchers, software and hardware vendors, and government stakeholders is seen as vital to support the trend of digitalization of the chemical process industry. To that end, in this first pre-Advanced Manufacturing & Processing Conference event, a group of subject matter experts from industry, academia, and the national labs will discuss important aspects of digital manufacturing, including the current opportunities and challenges associated with the development of DM enabling technologies and the implementation of DM solutions in practice.

Featured Panelists Include:

  • Joe Qin, Dean, School of Data Science and Director, Hong Kong Institute for Data Science Director, Centre for Systems Informatics Engineering City University of Hong Kong, Kowloon, Hong Kong
  • Pieter Schmal, Research Associate, ExxonMobil
  • John SiirolaPrincipal R&D, Sandia National Laboratories
  • Ian Willetts, Vice President Process and Simulations, AVEVA

Moderated by: 

 M. M. Faruque Hasan  and Fernando Lima 


M. M. Faruque Hasan

Dr. Faruque Hasan is an Associate Professor and the Kim Tompkins McDivitt ’88 and Phillip McDivitt ’87 Faculty Fellow in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He is also an affiliated faculty member of the Texas A&M Energy Institute. He received his B.Sc. in Chemical Engineering from Bangladesh University of Engineering & Technology in 2005, a Ph.D. from the National University of Singapore in 2010, and postdoctoral training at Princeton University before joining Texas A&M University in 2014.

He leads a research group that is...Read more

Fernando V. Lima

Fernando V. Lima joined the faculty as an Assistant professor of Chemical Engineering at West Virginia University (WVU) in January 2013. He is now an Associate Professor of Chemical Engineering since August 2019. His research group at WVU focuses on the development and implementation of process systems engineering methods for process design and intensification, advanced control and state estimation, modular energy systems and sustainability. He received his B.S. degree from the University of São Paulo in 2003 and his Ph.D. from Tufts University in 2007, both in Chemical Engineering. Upon...Read more

S. Joe Qin

Dr. S. Joe Qin obtained his B.S. and M.S. degrees in Automatic Control from Tsinghua University in Beijing, China, in 1984 and 1987, respectively, and his Ph.D. degree in Chemical Engineering from University of Maryland at College Park in 1992. He is currently Chair Professor, Dean of the School of Data Science, and Director of Hong Kong Institute for Data Science at City University of Hong Kong. In his prior career he worked as the Fluor Professor at the Viterbi School of Engineering of the University of Southern California, Professor at the University of...Read more

Pieter Schmal

Pieter Schmal is a Principal Application Engineer at PSE and the Head of PSE Academic. He is based in PSE’s NJ office in the US. He has an M.Sc. and Ph.D. in chemical engineering from the TU Delft in The Netherlands on large-scale dynamic modelling. He has over 20 years of modelling experience. After his Ph.D. he did 2 post-docs on heat-integrated distillation control and optimization with a visit to NTNU in Norway. He had his own consulting company from 1998-2008 that focused on commercializing a new separation technique. In 2008 Pieter joined PSE as a consultant in London, UK. In...Read more

John Siirola

Dr. John D. Siirola is a Principal R&D Member of Technical Staff in the Discrete Math and Optimization Department within the Center for Computing Research at Sandia National Laboratories.  His main areas of expertise are systems design, operations research, optimization modeling, and optimization algorithms.  John’s research focuses on the intersection of computational tools with systems design and analysis; in particular, developing approaches for modeling highly structured systems, optimization algorithms that can exploit the expressed structure, and the application of...Read more

Ian Willetts

Dr. Ian Willetts, is Vice President Process and Simulation at AVEVA, responsible for the global management of the Design, Simulation and Training business. Ian has thirty years of experience applying process simulation and optimization solutions in the process industries. He has held several positions at AVEVA including Managing Consultant, Global Practice Director for Optimization, DYNSIM Product Director, Global Practice Director for Simulation & Training and now has overall...Read more