Zhe Xu

Zhe Xu is an Assistant Professor in the Aerospace and Mechanical Engineering program within the School for Engineering of Matter, Transport and Energy at Arizona State University. His research focuses on the learning and control of cyber-physical systems, with an emphasis on integrating formal methods, machine learning, and control theory to design reliable and data-efficient autonomous systems. His work explores reinforcement learning, imitation learning, optimization, and data-driven control approaches for safety-critical and large-scale engineered systems. Before joining ASU, he was a postdoctoral researcher at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin, working with Ufuk Topcu. He received his Ph.D. from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute under the supervision of A. Agung Julius. He is a recipient of the NSF CAREER Award, the Howard Kaufman ’62 Memorial Fellowship, and multiple ASU Fulton Schools of Engineering Top 5% Teaching Recognition Awards, reflecting his contributions to both research and education.