个人简介
Prof. Xuan Zhang received the B.Eng. degree in Automation from Tsinghua University, Beijing, China, in 2011, and the Ph.D. degree in Control and Electrical Engineering from the University of Oxford, Oxford, U.K., in 2015. From 2015 to 2018, he was a Post-Doctoral Fellow with the School of Engineering and Applied Sciences and the Harvard Center for Green Buildings and Cities, Harvard University, Cambridge, MA, USA. Since 2018, he has been with the Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China, where he is currently an Associate Professor with the Smart Grid and Renewable Energy Laboratory. His current research interests include the control and optimization for cyber-physical systems (such as smart grids, smart buildings, and Energy Internet), control system structure (re)design, and learning-based control.
教育经历
10/2011-09/2015: Ph.D. in Control Engineering, from Department of Engineering Science, University of Oxford
09/2014-12/2014: Visiting Graduate Student in School of Engineering and Applied Sciences, Harvard University
08/2007-07/2011: B.Eng. in Automatic Control, from Department of Automation, Tsinghua University
工作经历
06/2023-Now: Associate Professor, Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School
03/2018-06/2023: Assistant Professor, Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School
09/2015-01/2018: Post-Doctoral Fellow in School of Engineering and Applied Sciences, Harvard University
09/2015-08/2017: Post-Doctoral Fellow in Harvard Center for Green Buildings and Cities, Harvard University
荣誉奖项
08/2019: Best Conference Paper in the 2019 IEEE Power & Energy Society General Meeting, IEEE Power & Energy Society
08/2018: Overseas High-Caliber Personnel Award, Shenzhen Municipality
10/2014: Mathematical, Physical and Life Sciences Division Outreach Award, University of Oxford
09/2011-08/2015: State Scholarship Fund, China Scholarship Council
06/2011: Excellent Graduation Thesis, Tsinghua University
研究领域
Cyber-physical systems: smart grids, smart/green buildings, Energy Internet, multi-agent systems, etc.
Modern control theory
Convex optimization
Learning, and learning-based control
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Xuan Zhang* and Antonis Papachristodoulou, A real-time control framework for smart power networks: Design methodology and stability. Automatica, vol. 58, pp. 43-50, 2015.
Xuan Zhang*, Ren Kang, Malcolm McCulloch and Antonis Papachristodoulou, Real-time active and reactive power regulation in power systems with tap-changing transformers and controllable loads. Sustainable Energy, Grids and Networks, vol. 5, pp. 27-38, 2016.
Xuan Zhang* and Antonis Papachristodoulou, Improving the performance of network congestion control algorithms. IEEE Transactions on Automatic Control, vol. 60, no. 2, pp. 522-527, 2015.
Xuan Zhang*, Antonis Papachristodoulou and Na Li, Distributed control for reaching optimal steady state in network systems: An optimization approach. IEEE Transactions on Automatic Control, vol. 63, no. 3, pp. 864-871, 2018.
Dario Bauso*, Xuan Zhang and Antonis Papachristodoulou, Density flow in dynamical networks via mean-field games. IEEE Transactions on Automatic Control, vol. 62, no. 3, pp. 1342-1355, 2017.
Xuan Zhang*, Wenbo Shi, Bin Yan, Ali Malkawi and Na Li, Decentralized and distributed temperature control via HVAC systems in energy efficient buildings. ArXiv:1702.03308 [cs.SY], 2017.
Yu Yang, Qing-shan Jia*, Xiaohong Guan, Xuan Zhang, Zhifeng Qiu and Geert Deconinck, Decentralized EV-based charging optimization with building integrated wind energy. IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2018.2856908, 2018.
Lirong Deng, Xuan Zhang, and Hongbin Sun*, Real-time autonomous trading in the electricity-and-heat distribution market based on blockchain. In proceedings of the 2019 IEEE Power & Energy Society General Meeting, 2019.
京公网安备 11010802027423号