Shuang Gao
B.Eng. (HIT), M.S. (HIT), Ph.D. (McGill)
Assistant Professor
Department of Electrical Engineering
Department of Electrical Engineering
Student research project(s)
Research interests and affiliations
Research interests
- Control of multi-agent systems
- Mean field games
- Network science
- Machine learning
- Applications in large networks such as social networks, renewable energy systems, transportations and neuronal networks
Affiliation(s)
Expertise type(s) (NSERC subjects)
- 2509 Control systems
- 2510 Adaptive, learning and evolutionary systems
- 2956 Optimization and optimal control theory
- 2960 Mathematical modelling
Publications
Recent publications
Journal article
Journal article
Conference paper
Conference paper
Gao, S., & Malhamé, R. P. (2025). Linear Quadratic Mean Field Games with Quantile-Dependent Cost Coefficients. Journal of Systems Science and Complexity, 38(1), 495-510.
Foguen-Tchuendom, R., Gao, S., Caines, P. E., & Huang, M. (2024). Infinite horizon LQG Graphon Mean Field Games: Explicit Nash values and local minima. Systems and Control Letters, 187, 105780 (9 pages).
Caines, P. E., Tchuendom, R. F., Huang, M., & Gao, S. (2023, July). Critical Nash Value Nodes for Control Affine Embedded Graphon Mean Field Games* [Paper]. 22nd IFAC World Congress, Yokohama, Japan. Published in IFAC-PapersOnLine, 56(2).
Caines, P. E., Foguen Tchuendom, R., Huang, M., & Gao, S. (2023, July). Critical Nash Value Nodes for Control Affine Embedded Mean Field Games [Paper]. 22nd World Congress of the International Federation of Automatic Control (IFAC 2023), Yokohama, Japan.
See all publications (21)
Biography
Prior to joining Polytechnique Montreal, Shuang Gao worked as a postdoctoral researcher at McGill University and a research fellow at the Simons Institute for the Theory of Computing at the University of California-Berkeley. He received his PhD in electrical engineering with specialization in systems and control from McGill University in 2019.
Teaching
ELE6953KE: Network Models, Systems and Games (Fall 2024)
ELE6210 Control System Design (Winter 2024)
Education
- Ph.D., Electrical Engineering, McGill University
- M.S., Control Science and Engineering, Harbin Institute of Technology
- B.Eng., Automation, Harbin Institute of Technology
