Profile
Cheng Guo
Mathematical and Statistical Sciences
Assistant Professor
864-656-4561
Martin Hall O324 [Office]
Educational Background
Ph.D., Industrial Engineering, University of Toronto, 2021
M.S., Operations Research, Columbia University, 2017
B.A., Economics, Wuhan University, 2015
B.S., Mathematics, Wuhan University, 2015
Profile/About Me
Cheng Guo's research is in the intersection of optimization and economics, with a focus on energy markets and power systems. Her research deals with the challenges of uncertainty and nonconvexity in power grids, using optimization methods such as copositive programming and integer programming. She also develops decomposition algorithms to solve the optimization models more efficiently.
Research Interests
Energy markets, power systems, copositive programming, stochastic programming, integer programming, decomposition methods
Courses Taught
MATH 8100 Mathematical Programming
MATH 4400/6400 Linear Programming
STAT 3090 Introductory Business Statistics
Selected Publications
D. Bienstock, Y. Dvorkin, C. Guo, R. Mieth, J. Wang, “Risk-Aware Security-Constrained Unit Commitment”, accepted at IEEE Transactions on Energy Markets, Policy, and Regulation (2024).
C. Guo, M. Bodur, D. Papageorgiou,“Generation Expansion Planning with Revenue Adequacy Constraints”, Computers & Operations Research 142 (2022): 105736.
C. Guo, M. Bodur, D. Aleman, and D. Urbach,“Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling”, INFORMS Journal on Computing 33.4 (2021): 1551-1569.
Honors and Awards
Bert Wasmund Graduate Fellowships in Sustainable Energy Research, 2018.