Assistant Professor, Mechanical Engineering | Robotics Institute | Machine Learning Department | Wilton E. Scott Institute for Energy Innovation
Ding Zhao is an Assistant Professor of Mechanical Engineering at Carnegie Mellon University. He is also with Robotics Institute and Machine Learning Department at the School of Computer Science and the Wilton E. Scott Institute for Energy Innovation. Directing the Safe AI Laboratory, Professor Zhao aims to develop verifiable, explainable, verifiable, and good-for-all artificial intelligence for robotics in the face of the uncertain, dynamic, time-varying, multiple agents, and possibly human-involved environment by bridging statistics and cybernetics.
Professor Zhao is recognized nationally and internationally for his research on autonomous/connected vehicles and smart cities which synthesizes methods in machine learning, robotics, and design. His group develops rigorous test methods to verify AI-powered robots and learning/generative approaches that model the operational environment with big data to support vision and decision-making development.
Professor Zhao's research has been granted by the National Science Foundation, Department of Transportation, and Department of Energy. He also works with leading self-driving companies around the world including Uber, Toyota, and Bosch. Methods and tools developed by the lab are being used by the industry and regulation institutes. He got the NSF CAREER Award in 2021.
Professor Zhao got his PhD from the University of Michigan, Ann Arbor, advised by Professor Huei Peng.