George Xiaojing Zhang
am currently a postdoctoral researcher in the Model Predictive Control Laboratory, headed by Prof. Dr. Francesco Borrelli, and the Associate Director of the Hyundai Center of Excellence, both at the University of California Berkeley, USA. I obtained my PhD from the Swiss Federal Institute of Technology Zurich (ETH Zurich) in January 2017 under the supervision of Prof. Dr. John Lygeros (ETH Zurich), and the co-supervision of Prof. Dr. Manfred Morari (University of Pennsylvania, USA) and Prof. Dr. Paul Goulart (University of Oxford, UK).

My research interests revolve around optimal control of constrained uncertain systems, with application to autonomous systems. Using tools from mathematical optimization, machine learning and probability theory, I focus on developing novel algorithms for synthesizing robust and stochastic controllers that are numerically efficient and can be applied in practice. Specifically, my research portfolio includes:
              • Robust and Stochastic Model Predictive Control
              • Autonomous Driving & Advanced Driver-Assistance Systems (ADAS)
              • Randomized Algorithms and Statistical Learning Theory
              • Multi-stage Decision Making under Uncertainty
              • Smart Grid & Power Systems Applications