Faculty

Cyber-physical Systems, Learning, Optimization

Hybrid and Switched Systems; the Modeling and Control of Communication Networks; Distributed Control over Communication Networks (also known as networked control systems); the Use of Vision in Feedback Control; Game Theory; and Stochastic Modeling in Biology

Brain-Inspired Computing, Applied Machine Learning, Hardware Machine Learning Systems, Machine Learning Enabled Electronic Design Automation, Circuits & Systems

Image Informatics

Convex and Combinatorial Optimization, Robotics, Motion Planning, Optimal Control

Game Theoretic Methods for Coordination of Large Scale Distributed Systems

RF Sensing and Learning, Communication-Aware Robotics, Next-generation Communication, Vision, Robotics

Machine Learning, Information Theory, Human-Cyber-Physical Systems, Stochastic Networks

Machine Learning, Computer Vision, Multi-modality Modeling, Robustness in Healthcare

Artificial Intelligence for Design and Test, Data Analysis, Machine Learning