ResearchI am broadly interested in the analysis and design of multiagent systems. In particular, I am fascinated by largescale networks of intelligent agents sharing, exchanging, and competing for resources. Some key features of these networks are:
Correspondingly, a recurring theme of my research is to
I strive to understand the fundamental limits of these systems, develop scalable, optimal decision making rules for the agents, and provide insights on efficient system design for the network operator. I leverage tools from optimization, game theory, and reinforcement learning, and more importantly develop new tools, since existing tools are often not applicable. I am interested in and have worked on a variety of applications, such as
