​Ph.D. Thesis​

• AI Driven Methods for Smart Grid Operations under Adversarial Conditions

 

​Journals​

1. P. Verma, P. Dasgupta and C. Chakraborty, "DeepLR: Deep Learning Assisted Load Redistribution Attack on Cyber-Physical Power System," in IEEE Transactions on Smart Grid (Early Access)

2. P. Verma, P. Dasgupta and C. Chakraborty, "OPFkNN: Congestion Aware Real-Time Optimal Power Flow With Uncertain Solar Generation," in IEEE Transactions on Industrial Informatics, vol. 21, no. 7, pp. 5460-5470, July 2025, doi: 10.1109/TII.2025.3555994.

3. P. Verma and C. Chakraborty, "High Impact Local Load Redistribution Attack Without Confidential Network Information," in IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 2383-2386, March 2024, doi: 10.1109/TSG.2023.3343125. 

4. P. Verma and C. Chakraborty, “Load Redistribution Attacks Against Smart Grids - Models, Impact and Defense : A Review”, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3393005.

5. P. Verma, P. Dasgupta and C. Chakraborty, “Defense Against Stealthy Dummy Load Redistribution Attacks”, in Electric Power Systems Research, vol. 228, p. 110 067, 2024. 

6. P. Verma, P. Dasgupta and C. Chakraborty, “A Novel Hybrid Centralized Decentralized Framework for Electric Vehicle Coordination”, in IET Smart Grid 2023, vol. 7, no. 1, pp. 89–100, 2024.​

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Conferences

1. P. Verma, P. Dasgupta and C. Chakraborty, "Comparative Study of ML Algorithms for Load Redistribution Attack Detection," 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON), kharagpur, India, 2022, pp. 1-5, doi: 10.1109/ONCON56984.2022.10126824.

2. P. Verma, S. Gupta, P. Dasgupta and C. Chakraborty, "Critical Load Identification for Load Redistribution Attacks," 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Singapore, Singapore, 2022, pp. 76-80, doi: 10.1109/ISGTAsia54193.2022.10003577.

3. P. Verma, P. Dasgupta and C. Chakraborty, "ML-assisted Real Time Congestion Mitigation under Supply-side Uncertainties," 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Brisbane, Australia, 2021, pp. 1-5, doi: 10.1109/ISGTAsia49270.2021.9715620.

4. P. Verma, D. Shi, Y. Ye, Y. Zhang and F. Wang, “Impact of Solar Integration on Grid Security: Unveiling Vulnerabilities in Load Redistribution Attacks”, in 2025 IEEE Kiel PowerTech, Kiel, Germany 2025, pp. 1-5.

5. S. Fanifosi, Y. Ye, P. Verma, F. Wang, D. Shi. "Uncertainty-Aware Deep Reinforcement Learning for Robust Autonomous Voltage Control," in 57th North American Power Symposium (NAPS) 2025, Connecticut, USA, PP. 1-5

 

Book Chapters

1. S. Dey, P. Verma, P. Dasgupta and S. Dey, "An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-Side Uncertainties", Calvaresi, D., et al. Explainable and Transparent AI and Multi-Agent Systems. EXTRAAMAS 2024. Lecture Notes in Computer Science (LNAI,volume 14847), vol 14847. Springer, Cham.​

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Poster

1. P. Verma, D. Shi and F. Wang, “Solar Integration & Grid Security: Uncovering Novel Vulnerabilities in Load Redistribution Attacks”, Building an Advanced Energy Ecosystem in New Mexico, Albuquerque, New Mexico, USA.