Ye Zhao received the B.E. degree in Control Science and Engineering from Harbin Institute of Technology, China, in 2011 and the Ph.D. degree in Mechanical Engineering from The University of Texas at Austin in 2016, where he also received the UT Robotics Graduate Portfolio Program degree. Before joining Georgia Tech, he was a Postdoctoral Fellow at Computer Science, the John A. Paulson School of Engineering and Applied Sciences, Harvard University. He started as an Assistant Professor at the George W. Woodruff School of Mechanical Engineering in January 2019.

Dr. Zhao’s research interests lie broadly in planning, control, decision-making, applied optimization, and learning algorithms of highly dynamic, under-actuated, and human-cooperative robots maneuvering in dynamically-changing, unstructured, and possibly adversarial environments. He is especially interested in computationally efficient optimization algorithms and formal methods for challenging robotics problems with formal guarantees on robustness, safety, provable correctness, autonomy, and real-time performance. His group at Georgia Tech aims at pushing the boundary of robot autonomy, intelligent decision, robust motion representation, and symbolic planning reasoning.