Please join us in welcoming Suvrajeet Sen, professor from the University of Southern California. He will be discussing a current industrial and systems engineering topic.
4290 Fitts-Woolard Hall
Compromise Policies: Obtaining Reliable Decisions from Stochastic Programming Models
Compromise Decisions for Stochastic Programming were first proposed for Two-stage Stochastic LPs (SLP), and have been shown to provide very good decisions even in problems with very high variability. In this lecture we will discuss extensions of Compromise Decisions of SLP to the case of Multi-stage Stochastic LPs as well as Stochastic MIPs (with binary variables). We will show that despite the differences in the mathematical structures arising in continuous and discrete optimization problems, the same notion of compromise policies provides a common umbrella for variance reduced decisions (or policies). This talk is based on joint work with several former Ph.D. students.
Suvrajeet Sen is Professor at the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. Prior to joining USC, he was a Professor at Ohio State University (2006-2012), and University of Arizona (1982-2006). He has also served as the Program Director of OR, as well as Service Enterprise Systems at the National Science Foundation. Professor Sen’s research is devoted to many categories of optimization models, and he has published over 120 papers, with the vast majority of them dealing with models, algorithms and applications of Stochastic Programming problems. He has served on several editorial boards, including Operations Research as Area Editor for Optimization and as Associate Editor for INFORMS Journal on Computing, INFORMS Journal on Optimization, Journal of Telecommunications Systems, Mathematical Programming B, Operations Research, SIAM J. on Optimization. He also serves as an Advisory Editor for several newer journals. Professor Sen was instrumental in founding the INFORMS Optimization Society in 1995, served as its Chair (2015-16), and led the process culminating in the creation of the new journal, INFORMS Journal on Optimization. He led a team of colleagues who were jointly recognized by the INFORMS Computing Society for their “seminal work” on Stochastic Mixed-Integer Programming in 2015. Professor Sen is a Fellow of INFORMS, and has been recognized at all his alma maters as a distinguished alumnus. Except for his years at NSF, he has received continuous extramural research funding from NSF for a stretch of years lasting over 25 years. His current work is funded by AFOSR, ONR, and DOE.
