Faculty Research

Cyberphysical and Control Learning Systems

Cyber-physical systems (CPS) are engineering systems of tightly connected cyber- and physical components, including sensing, computation, control, networking, physical dynamics and the operating environment. Model-based optimization and control and data-driven learning solutions such as reinforcement learning produce intelligent decisions for CPS. CPS transform the way to approach engineering systems and have found broad applications that include but not limited to autonomy, robotics, intelligent transportation systems, smart grids, smart home/health/community, infrastructure health monitoring, and smart disaster response.

Faculty

Dr. Frank L. Lewis. Feedback control systems (nonlinear process, adaptive, optimal, intelligent, and robust), cooperative multi-agent systems, robotics.

Dr. Yan Wan (Dynamic Networks and Control). Decentralized control; large-scale dynamical networks; stochastic networks; uncertainty quantification; learning control and graphical games; cyber-physical systems; air traffic management; UAV traffic management; sensor/robot/UAV networking; autonomous driving

Dr. Ramtin Madani. Electrical power systems, microgrids, power conversion and control, energy storage.

Dr. Ali Davoudi. (Complex Power Electronics Lab) Power electronics-based systems, energy conversion, renewable energy systems, smart grids, energy storage.

Dr. Ioannis D. Schizas. Machine learning, statistical signal processing, data analytics, optimization.

Administration

Dr. Wei-Jen Lee
Professor and Chair
817-272-3934
wlee@uta.edu

Dr. David Wetz 
Professor & Associate Chair 
817-272-1058
wetz@uta.edu

Dr. Yuze (Alice) Sun
Professor & Associate Chair
817-272-1317
sun@uta.edu

Undergraduate Applicants

Graduate Applicants