Abstract:

Randomness and uncertainties are critical issues in the study of transportation systems.  In this talk, we study a couple of transportation network design problems with a consideration of system reliability, subject to random disruptions, demand and behavior uncertainties.  Through a set of mathematical programming models, we analyze their structures, develop fast computational algorithms, present numerical results, and provide insights for system design and operations.

Biography:

Dr. Bo Zeng is an assistant professor in the Department of Industrial Engineering, Swanson School of Engineering, at the University of Pittsburgh. Prior to that, he was on the faculty of Industrial and Management Systems Engineering at the University of South Florida. 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. His research results have been applied in various practical systems to address planning, protection and operational issues to mitigate risk or uncertainty. He is widely published in Mathematical Programming, Discrete Optimization, IEEE Trans. on Automatic Control, on Power Systems, and on Smart Grids.