Research Output per Year
Research Output per Year
Overview
Personal Profile
Abhijeet Sahu is a cyber-physical systems researcher focused on leveraging artificial intelligence techniques in secure grid control through adaptive resilience metric quantification. Sahu earned his Ph.D. in electrical engineering from the electrical and computer engineering department at Texas A&M University in College Station, Texas, with a thesis titled, Addressing Uncertainty in Cyber-Physical Power Systems–Modeling to Integration in a Cyber-Physical Energy Management System. His research focuses on the use of Bayesian inferencing and reinforcement learning for control under uncertainties. Other interests include network security, cyber-physical modeling, and artificial intelligence for cyber-physical security in power distribution and transmission systems. He has worked as a network engineer at National Thermal Corporation Limited in India.
Research Interests
Reinforcement learning
ICS network security
Grid resilience
Wireless communication
Professional Experience
Graduate Research Intern, NREL (2021–2022)
Software Development Intern, Real Time Power, Inc. (2017)
Assistant Manager (IT and Communication), National Thermal Power Corporation Ltd., India (2011–2015)
Education/Academic Qualification
Bachelor, Electronics and Communication Engineering, National Institute of Technology Rourkela
PhD, Electrical Engineering, Texas A&M University
Master, Electrical Engineering, Texas A&M University
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CloudZero Phase 2 Technical Report
Wallace, A., Liao, A., Rager, D., Hasandka, A., Sahu, A., Ryan, N., Drake, S., Rivera, J., Snyder, P., Richardson, B. & Schwalm, K., 2024, 54 p.Research output: NREL › Technical Report
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A Fast and Scalable Genetic Algorithm-Based Approach for Planning of Microgrids in Distribution Networks
Sahu, A., Utkarsh, K. & Ding, F., 2022. 5 p.Research output: Contribution to conference › Paper › peer-review
5 Scopus Citations -
A Fast and Scalable Genetic Algorithm-Based Approach for Planning of Microgrids in Distribution Networks
Sahu, A., Kumar, U. & Ding, F., 2022Research output: NREL › Poster
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A Fast and Scalable Genetic Algorithm-Based Approach for Planning of Microgrids in Distribution Networks: Preprint
Sahu, A., Utkarsh, K. & Ding, F., 2022. 8 p.Research output: Contribution to conference › Paper
Activities
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IEEE Communications Society (External organization)
Sahu, A. (Member)
0001Activity: Membership › Membership of network
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IEEE Power and Energy Society (External organization)
Sahu, A. (Member), Hoke, A. (Member), Solanki, B. (Member), Palmintier, B. (Member), Saleem, D. (Member), Comden, J. (Member), Panda, K. (Member), Panwar, M. (Member), Koralewicz, P. (Member), Dhulipala, S. C. (Member), Paul, S. (Member), Singh, V. K. (Member), Wang, W. (Member), Wright, J. (Member), Kiboma, L. (Member), Poudyal, A. (Member), Thiagarajan, R. (Member), Lara Aguilar, J. D. (Member), Kumar, U. (Member) & Chen, Y. (Member)
0001Activity: Membership › Membership of network