Ming Yi

Ming Yi

Postdoctoral Research Scientist at Columbia University

Postdoctoral Research Scientist
Data Science Insititute
Columbia University, New York City

Office: CEPSR 801
Address: Schapiro Center, 530 W 120th St Suite 1001, New York, NY 10027
Email: my2826@columbia.edu

About Me

I am a postdoctoral research scientist at Columbia University, where I am focusing on energy storage, the power market, and the resilience of power systems. I am fortunate to work with Prof. Bolun Xu and Prof. Gil Zussman. Before that, I worked as a postdoc fellow at the University of Michigan, Ann Arbor, for three months with Prof. Parth Vaishnav, Prof. Michael Craig, Prof. Johanna Mathieu, and Prof. Carina Gronlund. I obtained my Ph.D. degree in 2022 from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, where I am fortunate to be advised by Prof. Meng Wang. In Spring 2022, I interned at the Argonne National Laboratory, mentored by Dr. Dongbo Zhao and Dr. Tianqi Hong. I received a Master’s degree in Control Science and Engineering from Harbin Institute of Technology and a Bachelor’s degree in Automation from Harbin Engineering University in 2018 and 2016, respectively. My current research focuses on machine Learning, high-dimensional energy data analytics, renewable energy, and power system monitoring.

Highlights

  • [May 2023] Our paper entitled “Net Load Forecasting with Disaggregated Behind-the-Meter PV Generation” was accepted in IEEE Transactions on Industry Applications.
  • [April 2023] I am honored to receive the Charles M. Close ’62 Doctoral Prize from the ECSE department of Rensselaer Polytechnic Institute. This prize is awarded to a doctoral candidate who has done outstanding work as a researcher and teacher, and who shows promise of a distinguished academic or research career.
  • [Mar. 2023] Our paper entitled “Bayesian High Rank Hankel Matrix Completion for Nonlinear Synchrophasor Data Recovery” was accepted in IEEE Transactions on Power Systems.
  • [Oct. 2022] I am honored to receive the Founders Award of Excellence (top 1% of student population) from Rensselaer Polytechnic Institute.
  • [May 2022] Our paper entitled “Recent Results of Energy Disaggregation with Behind-the-Meter Solar Generation” was accepted in 11th Bulk Power Systems Dynamic and Control Symposium.
  • [Feb. 2022] Our paper entitled “Bayesian Robust Hankel Matrix Completion with Uncertainty Modeling for Synchrophasor Data Recovery” was accepted in ACM SIGENERGY Energy Informatics Review.
  • [Jun. 2021] Our paper entitled “Bayesian Energy Disaggregation at Substations with Uncertainty Modeling” was accepted in IEEE Transactions on Power Systems.
  • [Nov. 2020] Our paper entitled “Real-time Energy Disaggregation at Substations with Behind-the-Meter Solar Generation” was accepted in IEEE Transactions on Power Systems.

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