Yifan Zhou

Yifan Zhou

Assistant Professor

Stony Brook University


Yifan Zhou is an assistant professor at Department of Electrical and Computer Engineering, Stony Brook University. She has been a postdoctoral researcher at Stony Brook University, working with Professor Peng Zhang. She received her Ph.D. from the Department of Electrical Engineering at Tsinghua University in July 2019, under the supervision of Professor Yong Min. Before that, she received her B. Sc. in Electrical Engineering in 2014 from the Department of Electrical Engineering at Tsinghua University.

I am looking for self-motivated Ph.D. students with a solid background in power system static/dynamic analysis and with strong interets in machine learning or quantum computing. Please send me an email with your CV if you are interested.

  • AI-Driven Smart Grid
  • Quantum Computing
  • Formal Analysis
  • Networked Microgrids
  • Ph.D. in Electrical Engineering, 2019

    Tsinghua University

  • B.E. in Electrical Engineering, 2014

    Tsinghua University



Learning-Based, Verifiable Smart Grids
This talk summarizes my recent research on learning-based, verifiable smart grids which collaboratively integrates machine learning, formal methods, and quantum computing to enable resilient power system operations with high levels of renewable energy penetration.
Learning-Based, Verifiable Smart Grids


Physics-Informed, Safety and Stability Certified Neural Control for Uncertain Networked Microgrids
Learning-Based, Safety and Stability-Certified Microgrid Control
Scalable and Lightweight Distributed Local Routing for Quantum Network-Based Microgrids
Noise-Resilient Quantum Power Flow
Quantum Microgrid State Estimation
Novel Resolution of Unit Commitment Problems through Quantum Surrogate Lagrangian Relaxation
Neural Electromagnetic Transients Program
Quantum Renewable Scenario Generation
Quantum Computing in Power Systems
Noise-Resilient Quantum Machine Learning for Stability Assessment of Power Systems


  • 2023, Young Academic Inventor’s Award from the National Academy of Inventors (NAI) Stony Brook University Chapter, recognized for her ”fundamental work in quantum computing techniques for large-scale power system problems”
  • 2021, Outstanding Reviewer for IEEE Transactions on Power Systems
  • 2014, Outstanding Graduate of Tsinghua University (1.5%)
  • 2014, Outstanding Graduate of Beijing
  • 2014, Outstanding Thesis Award, Tsinghua University