• Assistant Professor, Electrical & Computer Engineering
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Xin Chen

Educational Background

  • Ph.D., Harvard University, Electrical Engineering – 2022
  • M.S., Tsinghua University, Electrical Engineering – 2017
  • B.S., Tsinghua University, Engineering Physics & Economics – 2015

Research Interests

    • Scalable learning-assisted control and optimization
    • Distributed algorithms
    • Power and energy systems
    • Human-cyber-physical systems
    • Grid decarbonization

Selected Publications

  • Xin Chen, Guannan Qu, Yujie Tang, Steven Low, Na Li, “Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges”, IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 2935-2958, July 2022.
  • Xin Chen, Yujie Tang, Na Li, “Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters”, 39th International Conference on Machine Learning (ICML), Baltimore, MD, USA, 2022.
  • Xin Chen, Yingying Li, Jun Shimada, and Na Li, “Online Learning and Distributed Control for Residential Demand Response”, IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 4843-4853, Nov. 2021.
  • Xin Chen, Jorge I. Poveda, Na Li, “Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods”, 60th IEEE Conference on Decision and Control (CDC), Austin, Texas, USA, 2021. (Outstanding Student Paper Award)
  • Xin Chen, Changhong Zhao, and Na Li, “Distributed Automatic Load-frequency Control with Optimality in Power Systems,” IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 307-318, March 2021.
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