Published: Feb 7, 2008 4:14:13 PM
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Jay Lee, professor in the School of Chemical Engineering at the Georgia Institute of Technology, will deliver a lecture, "Approximate Dynamic Programming Approach: Process Control, Scheduling, and Beyond," on Friday, Feb. 8 at 3:30 p.m. in the McMillan Auditorium in Ross Hall. His lecture is a part of the 2007-2008 Chemical Engineering Seminar Program. Lee will introduce an approximate dynamic programming technique in the context of a general multi-stage stochastic optimization problem. He will also point out some key challenges in this area, especially for process control and scheduling applications.
Lee is currently professor of chemical and biomolecular engineering at the Georgia Institute of Technology. He received his bachelor's degree from University of Washington in 1986 and obtained his doctorate in 1991 from the California Institute of Technology. Lee's research interests have spanned the areas of model predictive control, dynamic optimization and system identification.
Approximate dynamic programming for stochastic Markov Decision Processes (MDPs) is the current focus of Lee's research program. In addition to process control, he has published and given technical presentations on production scheduling and supply chain management, and machine learning applied to directed evolution for biocatalyst design. Lee has co-authored nine book chapters and published almost 200 peer-reviewed conference proceeding papers and research articles. He was the recipient of NSF Young Investigator Award and a number of other research and teaching awards.