Qi Luo is a Ph.D. candidate in the Department of Industrial & Operations Engineering at the University of Michigan. His research interests are in integrating online learning algorithms with game theory. His current research has focused on bandit controls, multiagent dynamic Stackelberg games, and optimization methods for multimodal transportation ecosystem.
Luo is the recipient of the Rackham Graduate Research Grant and a co-author of the paper that won the 2019 Murty Prize. He has served as the Ph.D. Liaison and the Professional Development Officier of the University of Michigan’s INFORMS Student Chapter. He earned his M.E. in Energy Systems Engineering from the University of Michigan, Ann Arbor and a B.S.E./B.B.A. from Xi’an Jiaotong University, China.
Academic Advisors: Romesh Saigal and Robert Hampshire
Position sought: Academic
Expected Graduation: May 2020
Student Lecturer (Winter 2018): IOE 310 – Introduction to Optimization Methods