Prof. Xin Chen
University of Illinois at Urbana-Champaign
Talk:
Sparse Solutions to Complex Models
Abstract:
Recent years witnessed the proliferation of the notion of sparsity and its applications in operations research models. In this talk, I present a wide range of complex models which admit sparse yet effective solutions. The examples range from compressed sensing, optimization problems, game theory models, and two-stage stochastic programs. I also describe a few applications where a (simple) sparse solution can perform nearly as well as the (complex) optimal solution.
Biography:
Xin Chen is an associate professor in Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign. He earned a doctoral degree in Operations Research from Massacheusetts Institute of Technology. Professor Chen’s research interests include Production, Inventory and Supply Chain Management Optimization, Optimal Stochastic Control, Computational Mathematics, Operations Research, Operations Management .His articles have appeared in numerous publications, including Operations Research, Naval Research Logistics and Manufacturing & Service Operations Management. He received the Informs revenue management and pricing section prize in 2009. He is the coauthor of the book "The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management (Second Edition)".
