Scholar
Shuang Gao
Google Scholar ID: RHB8MAgAAAAJ
Polytechnique Montreal and GERAD
Citations & Impact
Citations
393
H-index
10
i10-index
10
Publications
20
Co-authors
4
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Paper 'LQG Graphon Mean Field Games' accepted for publication in IEEE Transactions on Automatic Control; received support from NSERC (Canada) for the research program 'Large Networks of Dynamic Populations with Stochasticity: Modelling, Control and Learning'; thanked Fonds de recherche du Québec - Nature et technologie (FRQNT) for supporting the research program on 'Data-Enabled Mean Field Games for Demand Response in Energy Systems'.
Research Experience
- Currently an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montreal, and a member of GERAD and UNIQUE. Previously, was a postdoctoral researcher at McGill University and a research fellow at the Simons Institute at the University of California, Berkeley.
Education
- Received a PhD degree in Electrical Engineering from McGill University, specializing in systems and control, under the supervision of Peter E. Caines.
Background
- Research interests include control, game, and learning theories for large networks, and their applications in social networks, epidemic networks, smart renewable energy grids, and neuronal networks. The goal is to discover fundamental properties of dynamics and control of systems involving large populations of network-coupled decision makers, and achieve intelligent decision-making for such systems.
Miscellany
- Looking for motivated students with a strong mathematical background or coding skills to work on modeling, control, optimization, or learning of large networks of dynamical systems with uncertainties. Openings available for Winter 2026, Summer 2026, and Fall 2026 for PhD and master's students.
