Chrysanthos E. Gounaris, Department of Chemical Engineering and Center for Advanced Process Decision-making, Carnegie Mellon University
"Decision-making Across Scales: From Supply Chains to Materials Nanostructure"
Modern chemical engineering contemplates topics across a wide span of scales, ranging from the need to harness the chemistry of complex compounds and materials, to designing industrial equipment and facilities of all kinds, to managing operations and defining corporate strategy at the enterprise level. In this talk, we discuss our work in employing mathematical optimization approaches to tackle decision-making in the context of multiple such scales. We start with some settings arising in the supply chain of the chemical industry, for which we develop applicable mathematical models and custom-built numerical algorithms to design optimal plans for daily logistics operations. We continue by discussing the design of process flowsheets and present novel methods to ensure robustness of optimal process designs against uncertainties in the underlying physicochemical properties at play. Such methods have been incorporated in our tool PyROS, a Python-based implementation for robust optimization of highly nonlinear models. Finally, we conclude the talk by presenting MatOpt, our recently developed crystalline materials framework, which efficiently explores the combinatorics of how atoms may arrange themselves on lattices and identifies the specific microstructure that induces desirable properties in various materials related to energy applications.
Chrysanthos Gounaris is an Associate Professor of Chemical Engineering at Carnegie Mellon University. He received a Dipl. in Chemical Engineering and an M.Sc. in Automation Systems from the National Technical University of Athens, as well as a Ph.D. in Chemical Engineering from Princeton University. After graduation, Chrysanthos worked as an Associate at McKinsey & Co. He returned to academia to pursue post-doctoral research at Princeton, before joining the Department of Chemical Engineering at Carnegie Mellon University in 2013. His research interests lie in the development of theory and quantitative methodologies for the optimization of supply chains, production systems and process operations, as well as in the use of mathematical optimization techniques for the design of microporous and nanostructured materials. Chrysanthos actively participates in CMU’s Center of Advanced Process Decision-making, where he now directs its 16 sponsor company strong Enterprise-wide Optimization special interest group. Recent recognitions for Chrysanthos include his being named a “2020 MSDE Emerging Investigator”, his induction in the “2019 I&ECR Class of Influential Researchers”, the Glover-Klingman Prize, the CIT Dean’s Early Career Fellowship, and the Kun Li Award for Teaching Excellence. Chrysanthos has been an active member of the American Institute of Chemical Engineers, currently serving as Director in its Computing and Systems Technology division as well as co-Chair of AMPc-2022, the upcoming inaugural conference of AIChE’s Advanced Manufacturing & Processing society.