Multi-Agent and Networked Systems

Systems and control, sensor networks, game theory, adversarial networks, cooperative robotics, and geometric mechanics

Information science of complex networks and systems: applications to control, computation, communication, and sensing

Wireless systems: stochastic and optimal resource allocation, network design and control, multi-access control, and topology design 

Distributed motion coordination, distributed estimation, optimal control for robotic locomotion, motion planning for underactuated systems

Network economics, game theory, ethics and economics of AI, optimization, reinforcement learning, economics of cyber security.

Hybrid control, nonlinear control, optimization, adaptive systems, learning-based control

Learning, Optimization, and Control of Network Systems, and their Applications to Autonomous Vehicles and Traffic Systems