معرفی
Yifan Zhou is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. He holds a PhD (2019) and B.E. (2014) in Electrical Engineering from Tsinghua University. His research focuses on AI-driven smart grids, quantum computing, and formal analysis of power systems, emphasizing resilience and renewable energy integration. He teaches courses on electromechanical energy converters, electric machinery, and AI-driven smart grids. He advises PhD students in power system dynamics and quantum computing applications.
Education:
- Ph.D. in Electrical Engineering, Tsinghua University, 2019
- B.E. in Electrical Engineering, Tsinghua University, 2014
Research Interests: Integrates machine learning and quantum computing for power system stability, microgrid operations, and verifiable smart grids. Highlights include quantum ML for stability assessment and neural dynamic equivalence modeling.
Awards:
- 2023 NAI Young Academic Inventor’s Award (for quantum computing in power systems)
- 2021 Outstanding Reviewer for IEEE Transactions on Power Systems
- 2014 Tsinghua University Outstanding Thesis Award
Grants & Mentoring: Supervises PhD students (e.g., Xuguo Fu, Sijia Yu) and leads projects on quantum-enabled power analytics and learning-based verification. Advises on federal grants for smart grid resilience.
Labs/Teams: Leads research in quantum power flow analysis and AI-driven control systems within the Electrical and Computer Engineering department.
