Lifeng Zhou is a postdoctoral researcher in the Department of Mechanical Engineering and Applied Mechanics working with Dr. Vijay Kumar. His research focuses on enabling security, trustworthiness, and long-term autonomy in robotics and autonomous systems. He has worked in related areas such as multi-robot coordination, approximation algorithms, combinatorial optimization, deep learning, model predictive control, and resilient and risk-aware decision making. His long-term goal is to investigate multi-robot security and trustworthy autonomy when robots use data-driven machine learning and deep learning techniques.
Lifeng Zhou received his Ph.D. degree from Virginia Tech under the supervision of Dr. Pratap Tokekar at the RAAS Lab. He received his Master’s degree in Automation from Shanghai Jiao Tong University, Shanghai, China, and his B.S. degree in Automation from Huazhong University of Science and Technology, Wuhan, China.
Publisher IEEE Robotics and Automation Letters (RA-L)