2023 Programming Coordinators | AIChE

2023 Programming Coordinators

The Programming Coordinators for the 2023 AIChE Annual Meeting were elected in 2020.

2023 Programming Coordinators

Area 10A: Selen Cremaschi

Area 10B: Ali Mesbah

Area 10C: Faruque Hasan

Area 10D: Kamil Khan

Area 10E: Salvador Garcia

Selen Cremaschi is B. Redd 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, data science, and chemical engineering, and develops systems analysis and decision support tools for complex systems, mainly focusing on the biomanufacturing, pharmaceutical and energy industry. During her career as a faculty, she was successful in acquiring $10.6MM external research funding, and her research work has been consistently supported by industrial collaborations in addition to federal agencies. She is an active member of The American Institute of Chemical Engineers (AIChE). She was the vice-chair and chair of the AIChE Education Division Young Faculty Forum Area in 2012 and 2013, respectively. She has chaired/co-chaired numerous CAST sessions in Areas 10A, 10C, and 10E at AIChE meetings regularly since 2008, served as the 2014 Programming Chair for AIChE CAST 10A. She is currently serving as Director of the CAST Division (2018-2020). She earned her Ph.D. degree from Purdue University, and her B.S. and M.S. degrees from Bogazici University (Turkey), all in chemical engineering.

Ali Mesbah is Associate Professor of Chemical and Biomolecular Engineering at the University of California at Berkeley. Before joining UC Berkeley, Ali was a senior postdoctoral associate at MIT. He holds a Ph.D. degree in Systems and Control from Delft University of Technology. Ali is a senior member of the IEEE Control Systems Society and AIChE. He serves on the IEEE Control Systems Society Conference Editorial Board and IEEE Control Systems Society Technology Conference Editorial Board, and is a subject editor of Optimal Control Applications and Methods and IEEE Transactions on Radiation and Plasma Medical Sciences. Ali has served on the international program committee of several conferences, including DYCOPS, ADCHEM, IFAC NMPC Conference, IFAC World Congress, ACC, and IEEE CDC. He will serve as the Program Coordinator for the CAST 10d Area in 2021, as well as Area Chairs of ADCHEM 2021 and DYCOPS 2022. Ali is recipient of the AIChE's 35 Under 35 Award in 2017, the IEEE Control Systems Outstanding Paper Award in 2017, and the AIChE CAST W. David Smith, Jr. Graduation Publication Award in 2015. His research interests are in the areas of learning-based analysis and predictive control of uncertain systems.

Faruque Hasan has recently been promoted to 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, USA. He is also an affiliated faculty member of the Texas A&M Energy Institute. He received his B.Sc. from Bangladesh University of Engineering & Technology in 2005, and Ph.D. from the National University of Singapore in 2010, all in Chemical Engineering. Prior to joining Texas A&M University in 2014, he was a postdoctoral fellow at Princeton University. Dr. Hasan leads a research group (http://people.tamu.edu/~hasan) that is now being recognized for developing fundamental methods for systematic process design and intensification of chemical processes with applications to carbon capture, natural gas utilization, energy, the environment and sustainability. His research has been externally funded by the US National Science Foundation, US Department of Energy, American Chemical Society, and Oak Ridge Associated Universities. He is the recipient of the NSF CAREER Award in 2020; the I&EC Research 2019 Class of Influential Researchers Award; the World Technology Network Award in 2018; the Texas A&M Outstanding Achievement Award in 2017; the Doctoral New Investigator Award from the American Chemical Society Petroleum Research Fund (ACS PRF) in 2017; the Best Paper Awards from Journal of Global Optimization in 2017 and from Computers & Chemical Engineering Journal in 2015; the Ralph E. Powe Junior Faculty Enhancement Award in 2015; the World Future Foundation PhD Award in Environmental and Sustainability Research in 2010; and the Best Technical Paper Award in the 1st Annual Gas Symposium in 2009. Dr. Hasan is a senior member of the American Institute of Chemical Engineers (AIChE) and previously served as an Area Chair (10a) for the Computing & Systems Technology (CAST) Division.

Kamil A. Khan is an assistant professor of chemical engineering at McMaster University. He received his B.S.E. degree in chemical engineering from Princeton University and his Ph.D in chemical engineering from MIT, and was a Director’s Postdoctoral Fellow in the Mathematics and Computer Science Division of the Argonne National Laboratory. His research focuses on developing efficient numerical methods for analysis and optimization of nonconvex process systems. Kamil is a 2020 recipient of the AIChE CAST Division’s W. David Smith, Jr. Graduate Publication Award, and regularly co-chairs Area 10D sessions at AIChE Annual Meetings.

Salvador Garcia Muñoz is a senior engineering advisor for Eli Lilly and Company. He has actively contributed to the development and commercialization of new medicines influencing internal and external key players to incorporate elements from chemical engineering and mathematics into the necessary regulatory frameworks that govern the manufacture of pharmaceuticals. Prior to his current job, he spent nine years working for Pfizer Global R&D as a member of the process modeling and engineering technology group where he contributed to the scale-up and transfer of drug product manufacturing processes using modeling, simulation and data analytics. In his pre-pharma years, he worked for Aspen Technology as a business support engineer, providing consulting and services for the modeling and simulation and the real-time data management business. He obtained his BS and MS from the Monterrey Institute of Technology and Higher Education (ITESM Mexico) (chemical and computer systems engineering) and his Ph.D. from McMaster University (Canada). Dr. Garcia Munoz holds a Visiting Professor post at Imperial College London, and an Adjunct Professor post at Carnegie Mellon University, both in the Chemical Engineering Departments.