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About

Contact Information

P: 864-656-3434
E: mathsci@clemson.edu

Campus Location

O-110 Martin Hall

Hours

Monday - Friday:
8 a.m. - 4:30 p.m.

Profile


Profile Photo

Cheng Guo

Mathematical and Statistical Sciences

Assistant Professor

864-656-4561
Martin Hall O324 [Office]

cguo2@clemson.edu
Website
CV

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.

Links

Google Scholar
Twitter

Contact Information

P: 864-656-3434
E: mathsci@clemson.edu

Campus Location

O-110 Martin Hall

Hours

Monday - Friday:
8 a.m. - 4:30 p.m.