Ph.D., Management Science and Operations Management, Booth School of Business, University of Chicago
MBA, Booth School of Business, University of Chicago
M.S., Electrical and Computer Engineering, University of Illinois Urbana-Champaign
B.S., Electrical Engineering, University of Illinois Urbana-Champaign
Research Interest
Sustainable operations
Electricity market and energy systems
Control, optimization, and game theory
Reinforcement learning, algorithms design and analysis
Zuguang Gao is an Assistant Professor of Operations and Decision Technologies at the Paul Merage School of Business, UC Irvine. He received his PhD in Management Science/Operations Management from the University of Chicago Booth School of Business. Prior to Chicago, He received the B.S. and M.S. degrees, in 2015 and 2017, respectively, from the Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, where he was also affiliated with the Coordinated Science Laboratory.
His research interests generally lie in sustainable operations, broadly defined, with a major focus on electricity market design, power/energy systems, and environmental policy, as well as some other areas related to sustainability (such as supply chains). He has worked on a wide range of research projects, drawing tools from mathematical modeling, optimization, control, game theory, reinforcement learning, algorithm design and data analysis. He has also had collaborations with Argonne National Laboratory and industry practitioners (including Uber and Flexport).
Z. Gao, J. R. Birge, R. L.-Y. Chen and M. Cheung. Greedy algorithms for the freight consolidation problem.Proc. 22nd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2022), Potsdam, Germany, September 8-9, 2022, pp. 4:1-4:19.
