Staff Directory

Zhang, Kaiqing

Zhang, Kaiqing

Assistant Professor
Electrical and Computer Engineering
The Institute for Systems Research
Maryland Robotics Center
2117 A.V. Williams Bldg.
Website(s):



Dr. Zhang is currently an assistant professor at the University of Maryland (UMD), College Park. During the deferral time before joining UMD, he was a postdoctoral scholar affiliated with LIDS and CSAIL at the Massachusetts Institute of Technology, and a Research Fellow at Simons Institute for the Theory of Computing at Berkeley.

Dr. Zhang received his Ph.D. in 2021 from the Department of Electrical and Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Laboratory (CSL). Prior to his Ph.D., Dr. Zhang received two M.S. degrees in 2017, one in ECE and the other in Applied Math from the University of Illinois at Urbana-Champaign.  Dr. Zhang holds a B.E. in Automation with a second degree in Economics from Tsinghua University in China.

His research interests lie broadly in control theory, game theory, reinforcement learning, robotics, and their intersections. He is the recipient of several awards and fellowships, including the Simons-Berkeley Research Fellowship, CSL PhD Thesis Award, IEEE Robotics and Automation Society (RAS) TC Best-Paper Award, ICML Outstanding Paper Award, AAAI New Faculty Highlights, ICML Outstanding Meta Reviewer, Cisco Research Award,  JP Morgan Faculty Research Award, Open Philanthropy AI Safety Research Award, NSF CAREER Award, AFOSR YIP Award, and Donald P. Eckman Award.

ENEE769L: Decision Making Under Uncertainty -- Reinforcement Learning, Control, and Games, Spring 2023

 

ENEE460: Control Systems, Fall 2023, 2024; Spring 2025; Fall 2025

 

ENEE664: Optimal Control, Spring 2024

ECE Ph.D. Student Solaleh Mohammadi Awarded ISDG Tom Vincent Best Paper Award

Recognized for research in reinforcement learning and game theory

ECE Professor Kaiqing Zhang Receives Donald P. Eckman Award

Recognized for contributions to Learning for Control and Decision-Making

Zhang Receives NSF CAREER Award

Will bridge classic and new theories from Control and Machine Learning to build Principled Large-scale Autonomous Systems

Kaiqing Zhang joins ECE and ISR as a joint appointment faculty member

The new assistant professor has research interests in control and machine learning, especially for multi-agent systems.