
Bio
Arjun Bhattacharyya is a Ph.D. student in Energy Science and Engineering at the Bredesen Center - University of Tennessee, Knoxville, and a Research Assistant at Oak Ridge National Laboratory (ORNL). He also holds an MS in Electrical Engineering from The University of Tennessee, Knoxville, with a focus on Power Systems, and a bachelor's degree in Electrical and Electronics Engineering from Manipal Academy of Higher Education, India.
Arjun’s research lies at the intersection of artificial intelligence and power system engineering, with a core emphasis on improving the reliability and resilience of electric grids under conditions of increasing renewable energy penetration. His work integrates advanced machine learning, natural language processing, and domain-specific simulation tools to solve critical challenges in energy systems.
Professional Experience
Arjun’s professional experience spans academic and national laboratory. As a Graduate Research Assistant at the Bredesen Center, he conducts research on power system resilience using AI and machine learning, contributing to DOE-funded initiatives that address real-world energy challenges.
Earlier, Arjun also gained industry exposure through his internship at Deloitte USI, where he engaged in cloud resilience, compliance, and data analytics.
Awards
- Graduate Scholarship Award for Academic Excellence – Spring 2025
Awarded by the Graduate School, The University of Tennessee, Knoxville. - First First-Author Publication Award – 2025
Awarded by the Bredesen Center for publishing the first first-author article.
Education
- Ph.D. in Energy Science and Engineering
The University of Tennessee, Knoxville, USA
2023 – Present - M.S. in Electrical Engineering
The University of Tennessee, Knoxville, USA
2023 – 2025 - B.S. in Electrical and Electronics Engineering
Manipal Academy of Higher Education, Manipal, India
2019 – 2023
Other Publications
- A. Bhattacharyya, S. Mukherjee, “Using Artificial Intelligence to Improve Reliability and Operational Efficiency of Small-Scale Hydroelectric Distributed Generation”, 2025 IEEE Rural Electric Power Conference (REPC), Westminster, CO, USA, 2025, doi: 10.1109/REPC60353.2025.00017
- S. Mukherjee, S. Chintavalli, N. Bhusal, V. Tansakul, S. Subedi and A. Bhattacharyya, “The Challenges of Modeling Distributed Energy Resources (DERs) as Blackstart Resources and for Volt-VAR Optimality,” 2024 IEEE Rural Electric Power Conference (REPC), Tulsa, OK, USA, 2024, pp. 76-80, doi: 10.1109/REPC57617.2024.00021