معرفی
Shuang Gao is an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montréal. Prior to joining Polytechnique Montréal, he held postdoctoral and research fellow positions at McGill University and the Simons Institute for the Theory of Computing at UC Berkeley, respectively. His research focuses on control systems, mean field games, network science, and machine learning, with applications in large-scale networks such as social networks, renewable energy systems, transportation, and neural networks. He is affiliated with the Union of Neurosciences and Artificial Intelligence - Quebec (UNIQUE) and the Decision Analysis Study and Research Group (GERAD).
Dr. Gao’s recent publications highlight his work on
- Graphon mean field games for analyzing and controlling large-scale networked systems
- Linear quadratic regulation with quantile-dependent cost coefficients
- Spectral decomposition for optimal control of coupled subsystems
- Transmission neural networks for approximation and control
He teaches graduate courses such as ELE6953KE: Network Models, Systems and Games and ELE6210 Control System Design, and serves as course coordinator for ENE8412: Management of Fluctuating Load and Production. His research is available in 23 publications, including 7 journal articles and 16 conference papers.
