معرفی
Junpeng Zhan is an Assistant Professor in the Department of Renewable Energy Engineering at the Inamori School of Engineering, Alfred University. He earned his B.S. and Ph.D. in Electrical Engineering from Zhejiang University (2009, 2014). His research focuses on quantum computing, smart grid technologies, and optimization methods, with a particular interest in solving NP-complete problems using hybrid quantum-classical algorithms like the Variational Quantum Search. He has held positions at Brookhaven National Laboratory and the University of Saskatchewan.
Education: B.S. (Electrical Engineering, Zhejiang University, 2009), Ph.D. (Electrical Engineering, Zhejiang University, 2014).
Research interests include quantum algorithms, machine learning applications in power systems, and renewable energy integration. Current grants include NSF-funded work on variational quantum algorithms for power system simulation and ISO-New England-funded projects on quantum computing for unit commitment.
Teaching includes courses like Power System Operation and Python for Power Systems Research. He is an Associate Editor of IET Generation, Transmission & Distribution and has authored over 50 publications.
