Aranya Chakrabortty

North Carolina State University — United States

Engineering · Physical Sciences

30h-index4.0kcitations278works1.62yr avg
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Research Topics

Power System Optimization and Stability(145), Smart Grid Security and Resilience(73), Optimal Power Flow Distribution(67), Microgrid Control and Optimization(50), Distributed Control Multi-Agent Systems(31)

Publications278 total

PHANTOM: Physics-Aware Adversarial Attacks against Federated Learning-Coordinated EV Charging Management System
arXiv (Cornell University)·2025Open Access
PHANTOM: Physics-Aware Adversarial Attacks against Federated Learning-Coordinated EV Charging Management System
ArXiv.org·2025Open Access
Machine Learning-Aided Detection of DoS Attacks in Power Systems using Side-Channel Monitoring
2025
A Robust Control Co-Design for Stability and Fault Resilience of Islanded Microgrids
2025
Stability Enhanced Power System Operation using Physics-Informed Neural Networks
2025
Optimal Distribution of Grid-Following and Grid-Forming Converters for Charging Control of Electric Vehicles
IEEE Transactions on Smart Grid·2025
Co-Optimization of EV Charging Control and Incentivization for Enhanced Power System Stability
IEEE Transactions on Control Systems Technology·2025· 1 cited
Aranya Chakrabortty [People in Control]
IEEE Control Systems·2025
Resilient Charging Control of Electric Vehicles Against Denial of Service Attacks using Neural Networks
2025
Nonlinear Mode and Participation Factor Analysis for Inverter Dominated Power Systems
2024Open Access
Physics-Aware Regression for DER Dispatch With Topological Reconfigurations of Radial Feeder
IEEE Transactions on Industry Applications·2024
Artificial Intelligence based Approach for Identification and Mitigation of Cyber-Attacks in Wide-Area Control of Power Systems
arXiv (Cornell University)·2024Open Access
Optimal Charging Control and Incentivization Strategies for Electric Vehicles Considering Grid Dynamical Constraints
2024· 2 cited
Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community
IEEE Control Systems·2024· 16 citedOpen Access
Co-Optimization of EV Charging Control and Incentivization for Enhanced Power System Stability
arXiv (Cornell University)·2024Open Access
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
IEEE Transactions on Automatic Control·2024· 5 cited
Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions
IEEE Transactions on Automatic Control·2024· 3 cited
Robust and Scalable Game-Theoretic Security Investment Methods for Voltage Stability of Power Systems
2023· 1 cited
Game-Theoretic Mixed $H_{2}/H_{\infty}$ Control with Sparsity Constraint for Multi-Agent Control Systems
2023
Distributed Reinforcement Learning for Networked Dynamical Systems
IEEE Transactions on Control of Network Systems·2023· 2 citedOpen Access
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Frequent Co-authors

Joe H. Chow(5), Seyedbehzad Nabavi(5), Murat Arcak(5), Anuradha M. Annaswamy(4), Armando Salazar(4), Tomonori Sadamoto(4), Jun‐ichi Imura(4), Dennice F. Gayme(4), He Bai(4), Yufeng Xin(3), Sayak Mukherjee(3), Abhishek Jain(3), Emrah Bıyık(3), Seyed Mehran Dibaji(2), Mohammad Pirani(2), Karl Henrik Johansson(2), Michael C. Caramanis(2), Pramod P. Khargonekar(2), Jianhua Zhang(2), Takayuki Ishizaki(2)