Seyedmehdi kazemirazi
PH.D. Student, Electrical and Computer Engineering, Texas A&M University
About
Seyedmehdi is a Ph.D. student . His research focuses on applying machine learning and physics-informed machine learning to improve forecasting of renewable generation, electricity demand, and market prices, with the goal of enhancing resource adequacy and reliability in power systems. Outside of research, He enjoys staying active through volleyball and hiking.
Education
M.S., Electrical and Computer Engineering, University of Utah, 2025
M.S. Electrical Engineering, Amirkabir University of Technology, Tehran, 2020
B.S. Electrical Engineering, Ferdowsi University, Mashhad, 2017
Group Publications
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