Arjun Bhattacharyya
Arjun Bhattacharyya
Energy Science and Engineering (ESE)
He is a Graduate Research Assistant at Oak Ridge National Laboratory, contributing to multiple U.S. Department of Energy projects involving Scenario Modeling and Techno-Economic Evaluation of a 600MW Pumped Storage Hydropower Plant, and a Comprehensive Database of Environmental Mitigations Extracted from FERC-Licensed Hydropower Projects using Artificial Intelligence, 1998-2023. He is also working on the Data Center Load Forecast using Machine Learning Models. Arjun has published and presented his work at venues such as IEEE Rural Electric Power Conference and CEATI Strategy and Innovation Conference, and he is an author on a HydroSource/ORNL publication on AI-extracted environmental mitigations from FERC-licensed hydropower projects. His honors include the Graduate Scholarship Award for Academic Excellence (2025) and the Bredesen Center award for first first-author publication.
Education
Arjun is a Ph.D. student in Energy Science and Engineering at the Bredesen Center, University of Tennessee, Knoxville. He earned his M.S. in Electrical Engineering with a specialization in Power Systems in 2025 from the Tickle College of Engineering at the University of Tennessee, Knoxville. He completed his B.S. in Electrical and Electronics Engineering with a minor in Control Systems at Manipal Academy of Higher Education, India, in 2023.
Research
His research focuses on applying artificial intelligence and machine learning to power system reliability and resilience, with particular emphasis on hydroelectric and distributed energy systems.