معرفی
Cheng Guo is an Assistant Professor in the School of Mathematical & Statistical Sciences at Clemson University (Subfaculty: Operations Research). His research focuses on the intersection of optimization and economics, particularly in energy markets and power systems. He addresses challenges such as nonconvex physical constraints and renewable energy uncertainty using advanced optimization techniques like copositive programming and decomposition algorithms.
Education: Ph.D. in Industrial Engineering (University of Toronto, 2021), M.S. in Operations Research (Columbia University, 2017), B.A. in Economics and B.S. in Mathematics (Wuhan University, 2015).
Research interests include energy markets, power systems, copositive programming, stochastic programming, integer programming, and decomposition methods. His work bridges economic equilibrium models with computational methods to solve large-scale, nonlinear power system optimization problems.
Selected publications highlight contributions to risk-aware unit commitment, copositive duality in energy markets, and stochastic scheduling in healthcare. Upcoming engagements include the IEEE Power & Energy Society General Meeting (2025) and the POMS Conference (2025).
- Awards: Bert Wasmund Graduate Fellowship in Sustainable Energy Research (2018)
Research emphasizes mechanism design for nonconvex markets, computational methods for large-scale systems, and applications in healthcare operations.
