Shuang Gao received his PhD degree in Electrical Engineering from McGill University under the supervision of Peter E. Caines. His research aims to discover fundamental properties of dynamics and control of systems that involve large populations of network-coupled agents or subsystems, and achieve intelligent decision-making for such systems. His research interests lie in control, games and learning for large networks, along with applications in social networks, epidemic networks, smart renewable energy grid and biological neural networks.
- Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Research Fellow.