In addition, Xu’s research includes solving optimization and control problems subject to various application constraints such as complicated physical model, multi-stage uncertainties, and large scale systems. In his recent work Xu developed a novel predictive control algorithm for energy storage that offers leading control optimality while being thousands of times faster with very simple hardware requirements compared to state-of-the-art commercial solvers.
Xu received his BS from Shanghai Jiaotong University, MS from ETH Zurich, and PhD from University of Washington, Seattle, all in Electrical Engineering. Before joining Columbia, he was a postdoctoral associate at Massachusetts Institute of Technology, jointly hosted by MIT Energy Initiative, and Lab for Information & Decision Systems.