Yan Li

Yan Li is an Assistant Professor in Electrical Engineering with extensive research activity spanning 2013–2025 and 76 research outputs. Their work intersects power systems engineering, quantum computing, and computational symmetry with applications in microgrid stability, neuroimage analysis, and human pose dynamics.

• Active in UN Sustainable Development Goals related to sustainable energy systems
• Key research areas: Quantum Computing Training, Transient Dynamics Analysis, Software-defined Networking, and Data-driven Modeling

Recent publications focus on adaptive control algorithms for microgrids, quantum computing applications in power systems, and geometric machine learning for differential equations on manifolds. Their work combines theoretical innovation with practical implementations in energy and biomedical domains.

Grant funding includes:

• National Science Foundation (CyberTraining: Quantum Computing Training for Power Engineers, 2024–2026)
• U.S. Navy (Quantum Analysis of Renewable Energy Transients, 2022–; SCADA Network Security via SDN, 2021–)
• National Science Foundation (Data-driven Modeling for Renewable Systems, 2022–2025)