PhD, University of Waterloo
Email: j.liu@uwaterloo.ca
Telephone: (519) 888-4567 Ext. 47550
Office: MC 6108
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Jun Liu is a Professor of Applied Mathematics and a Canada Research Chair in Hybrid Systems and Control at the University of Waterloo, where he directs the Hybrid Systems Lab. His main research interests are in the theory and applications of hybrid systems and control, including rigorous computational methods for control design with applications in cyber-physical systems and robotics. His research also includes optimization and learning theory, with applications in robotics, data science, and AI. He is a co-author of the books "Formal Methods for Control of Nonlinear Systems" (CRC Press) and "Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox" (Wiley-IEEE Press). He is an associate editor for the IFAC journal Automatica and the journal Systems & Control Letters.
Research interests
- Systems and control theory
- Formal methods for control design
- Learning and optimization theory
- Applications in cyber-physical systems, robotics, data science, and AI