Sayak Mukherjee

64 papers A* 1A 1B 1C 7Journal 45Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Security Risks of AI/ML With a Focus on Reinforcement Learning: A Review and Perspectives From Grid Applications. IEEE Trans. Emerg. Top. Comput. Intell. Kyung-bin Kwon, Sayak Mukherjee, Ramij Raja Hossain, Veronica Adetola
2025	J	`jnl`	An Uncertainty-Aware Data-Driven Predictive Controller for Hybrid Power Plants. CoRR Manavendra Desai, Himanshu Sharma, Sayak Mukherjee, Sonja Glavaski
2025	J	`jnl`	CoDe: Blockwise Control for Denoising Diffusion Models. CoRR Anuj Singh, Sayak Mukherjee, Ahmad Beirami, Hadi Jamali Rad
2025	J	`jnl`	CoDe: Blockwise Control for Denoising Diffusion Models. Trans. Mach. Learn. Res. Anuj Singh, Sayak Mukherjee, Ahmad Beirami, Hadi Jamali Rad
2025	J	`jnl`	Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design. CoRR Stephen Ampleman, Himanshu Sharma, Sayak Mukherjee, Sonja Glavaski
2025	J	`jnl`	Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow. CoRR Kaustav Chatterjee, Sameer Nekkalapu, Sayak Mukherjee, Ramij Raja Hossain, Marcelo Elizondo
2025	J	`jnl`	Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense. CoRR Sayak Mukherjee, Samrat Chatterjee, Emilie Purvine, Ted Fujimoto, Tegan Emerson
2025	J	`jnl`	On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances. CoRR Sayak Mukherjee, Ramij Raja Hossain, Mahantesh Halappanavar
2025	J	`jnl`	Operational Risks in Grid Integration of Large Data Center Loads: Characteristics, Stability Assessments, and Sensitivity Studies. CoRR Kyung-bin Kwon, Sayak Mukherjee, Veronica Adetola
2025	J	`jnl`	Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies. CoRR Kyung-bin Kwon, Sayak Mukherjee, Ramij Raja Hossain, Marcelo Elizondo
2025	J	`jnl`	Policy Gradient-Based EMT-in-the-Loop Learning to Mitigate Sub-Synchronous Control Interactions. CoRR Sayak Mukherjee, Ramij Raja Hossain, Kaustav Chatterjee, Sameer Nekkalapu, Marcelo Elizondo
2025	J	`jnl`	Resilient Control of Networked Microgrids Using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. IEEE Trans. Smart Grid Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
2025	J	`jnl`	Supervisory Control of Hybrid Power Plants Using Online Feedback Optimization: Designs and Validations with a Hybrid Co-Simulation Engine. CoRR Sayak Mukherjee, Himanshu Sharma, Wenceslao Shaw-Cortez, Genevieve M. Starke, Michael N. Sinner, Brooke J. Stanislawski, Zachary Tully, Paul A. Fleming, Sonja Glavaski
2025	B	`conf`	Towards Context-sensitive Emotion Recognition. ICMI Sayak Mukherjee
2024	J	`jnl`	Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach. IEEE Control. Syst. Lett. Kyung-bin Kwon, Ramij Raja Hossain, Sayak Mukherjee, Kaustav Chatterjee, Soumya Kundu, Sameer Nekkalapu, Marcelo Elizondo
2024	C	`conf`	Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control. ICMLA Salman Shuvo, Sayak Mukherjee, Samrat Chatterjee, Sonja Glavaski, Draguna L. Vrabie, Geline Canayon, Matthew Juckes, Raimundo Rodulfo
2024	J	`jnl`	Development of a biofidelic computational model of human pelvis for predicting biomechanical responses and pelvic fractures. Comput. Biol. Medicine Wei Zeng, Sayak Mukherjee, Ryan Neice, Robert S. Salzar, Matthew B. Panzer
2024	J	`jnl`	MAPL: Model Agnostic Peer-to-peer Learning. CoRR Sayak Mukherjee, Andrea Simonetto, Hadi Jamali Rad
2024	A	`conf`	Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2024	C	`conf`	Structural Impact of Grid-Forming Inverters on Power System Coherency. IECON Sayak Mukherjee, Ramij Raja Hossain, Kaustav Chatterjee, Soumya Kundu, Kyung-bin Kwon, Sameer Nekkalapu, Marcelo A. Elizondo
2024	J	`jnl`	Structural Impact of Grid-Forming Inverters on Power System Coherency. CoRR Sayak Mukherjee, Ramij Raja Hossain, Kaustav Chatterjee, Soumya Kundu, Kyung-bin Kwon, Sameer Nekkalapu, Marcelo Elizondo
2024	J	`jnl`	\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2023	J	`jnl`	McSNAC: A software to approximate first-order signaling networks from mass cytometry data. Quant. Biol. Darren Wethington, Sayak Mukherjee, Jayajit Das
2023	J	`jnl`	Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix. IEEE Trans. Autom. Control. Sayak Mukherjee, Thanh Long Vu
2023	C	`conf`	Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. ACC Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu, Thanh Long Vu
2023	—	`conf`	Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids. ISGT Thanh Long Vu, Sayak Mukherjee, Veronica Adetola
2023	J	`jnl`	Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. CoRR Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
2023	J	`jnl`	Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. IEEE Control. Syst. Lett. Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu, Hao Zhu
2022	J	`jnl`	AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning. CoRR Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee
2022	—	`conf`	Data-Driven Pole Placement in LMI Regions with Robustness Guarantees. CDC Sayak Mukherjee, Ramij Raja Hossain
2022	J	`jnl`	Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. CoRR Sayak Mukherjee, Ramij Raja Hossain, Yuan Liu, Wei Du, Veronica Adetola, Sheik M. Mohiuddin, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
2022	—	`conf`	Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
2022	J	`jnl`	Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	C	`conf`	Learning the Robust and Structured Control of Unknown Linear Systems. ACC Sayak Mukherjee, Thanh Long Vu
2022	—	`conf`	Neural Lyapunov Differentiable Predictive Control. CDC Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Neural Lyapunov Differentiable Predictive Control. CoRR Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids. CoRR Thanh Long Vu, Sayak Mukherjee, Veronica Adetola
2021	—	`conf`	A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CCTA Sayak Mukherjee, Veronica Adetola
2021	J	`jnl`	A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CoRR Sayak Mukherjee, Veronica Adetola
2021	—	`conf`	Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CDC Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
2021	J	`jnl`	Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CoRR Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
2021	J	`jnl`	Data-Driven Pole Placement in LMI Regions with Robustness Constraints. CoRR Sayak Mukherjee, Ramij Raja Hossain
2021	J	`jnl`	Development and multi-level validation of a computational model to predict traumatic aortic injury. Comput. Biol. Medicine Wei Zeng, Adrian Caudillo, Sayak Mukherjee, Sang-Hyun Lee, Matthew B. Panzer
2021	J	`jnl`	Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. Syst. Control. Lett. Sayak Mukherjee, He Bai, Aranya Chakrabortty
2021	J	`jnl`	On Distributed Model-Free Reinforcement Learning Control With Stability Guarantee. IEEE Control. Syst. Lett. Sayak Mukherjee, Thanh Long Vu
2021	C	`conf`	On Distributed Model-Free Reinforcement Learning Control with Stability Guarantee. ACC Sayak Mukherjee, Thanh Long Vu
2021	A*	`conf`	On the Stochastic Stability of Deep Markov Models. NeurIPS Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
2021	J	`jnl`	On the Stochastic Stability of Deep Markov Models. CoRR Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
2021	J	`jnl`	Reduced-dimensional reinforcement learning control using singular perturbation approximations. Autom. Sayak Mukherjee, He Bai, Aranya Chakrabortty
2021	J	`jnl`	Safe Reinforcement Learning for Grid Voltage Control. CoRR Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
2021	J	`jnl`	Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. IEEE Trans. Smart Grid Sayak Mukherjee, Aranya Chakrabortty, He Bai, Atena Darvishi, Bruce Fardanesh
2021	J	`jnl`	Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. CoRR Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin
2020	J	`jnl`	Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator. CoRR Sayak Mukherjee, Thanh Long Vu
2020	C	`conf`	On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. ACC Sayak Mukherjee, He Bai, Aranya Chakrabortty
2020	J	`jnl`	Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations. CoRR Sayak Mukherjee, He Bai, Aranya Chakrabortty
2020	—	`conf`	Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. CCTA Sayak Mukherjee, He Bai, Aranya Chakrabortty
2020	J	`jnl`	Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix. CoRR Sayak Mukherjee, Thanh Long Vu
2020	J	`jnl`	Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. CoRR Thanh Long Vu, Sayak Mukherjee, Tim Yin, Renke Huang, Jie Tan, Qiuhua Huang
2019	C	`conf`	Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. ACC Sayak Mukherjee, Aranya Chakrabortty, He Bai
2019	J	`jnl`	Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency. CoRR Sayak Mukherjee, Aranya Chakrabortty, Saman Babaei
2018	—	`conf`	A Hierarchical Design for Damping Control of Wind-Integrated Power Systems Considering Heterogeneous Wind Farm Dynamics. CCTA Sayak Mukherjee, Nan Xue, Aranya Chakrabortty
2018	—	`conf`	On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. CDC Sayak Mukherjee, He Bai, Aranya Chakrabortty
2016	J	`jnl`	Connecting the dots across time: Reconstruction of single cell signaling trajectories using time-stamped data. CoRR Sayak Mukherjee, David Stewart, William Stewart, Lewis L. Lanier, Jayajit Das
2015	J	`jnl`	Maximum Entropy Estimation of Probability Distribution of Variables in Higher Dimensions from Lower Dimensional Data. Entropy Jayajit Das, Sayak Mukherjee, Susan E. Hodge