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Robust and Chance Constrained Optimization in Power and Logistics Systems

Dr. Bo Zeng

ISE Assistant Professor

University of Pittsburg

Friday, September 15, 2017

2:30-3:30pm JDT 410


Abstract:  In this talk,  we cover our research on algorithm development for optimization with uncertainties, including difficult two-stage robust and chance-constrained optimization.  Recent exact algorithms and their extensions will be discussed and analyzed  Then, a few applications to address challenges arising in power and logistics systems will be described, and new modeling capacity along with non-trivial management insights will be presented.  Finally, we highlight the superior computational performance over traditional approaches  on computing large-scale real instances.

Bio:  Dr. Bo Zeng is an assistant professor of Dept. of Industrial Engineering and Dept. of Electrical & Computer Engineering at the University of Pittsburgh. Prior to that, Dr. Zeng served as a faculty member of Dept. of Industrial and Management Systems Engineering at the University of South Florida. He received Ph.D. of Operations Research from School of Industrial Engineering at Purdue University. Dr. Zeng’s research focuses on optimization theory and methodology, particularly on discrete and multilevel optimization, and their applications in power, transportation, healthcare and other cyber-physical systems.