Sayak Mukherjee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Reinforcement Learning

Top Venues

Publications

Sayak Mukherjee, Ramij Raja Hossain, Kaustav Chatterjee, Soumya Kundu, Kyung-bin Kwon, Sameer Nekkalapu, Marcelo Elizondo
Structural Impact of Grid-Forming Inverters on Power System Coherency. CoRR (2024)
Wei Zeng, Sayak Mukherjee, Ryan Neice, Robert S. Salzar, Matthew B. Panzer
Development of a biofidelic computational model of human pelvis for predicting biomechanical responses and pelvic fractures. Comput. Biol. Medicine 170 (2024)
S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR (2024)
S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS (2024)
Sayak Mukherjee, Andrea Simonetto, Hadi Jamali Rad
MAPL: Model Agnostic Peer-to-peer Learning. CoRR (2024)
Thanh Long Vu, Sayak Mukherjee, Veronica Adetola
Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids. ISGT (2023)
Darren Wethington, Sayak Mukherjee, Jayajit Das
McSNAC: A software to approximate first-order signaling networks from mass cytometry data. Quant. Biol. 11 (1) (2023)
Sayak Mukherjee, Thanh Long Vu
Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix. IEEE Trans. Autom. Control. 68 (3) (2023)
Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. CoRR (2023)
Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu, Thanh Long Vu
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. ACC (2023)
Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu, Hao Zhu
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. IEEE Control. Syst. Lett. 7 (2023)
Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR (2022)
Sayak Mukherjee, Ramij Raja Hossain
Data-Driven Pole Placement in LMI Regions with Robustness Guarantees. CDC (2022)
Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Neural Lyapunov Differentiable Predictive Control. CDC (2022)
Sayak Mukherjee, Thanh Long Vu
Learning the Robust and Structured Control of Unknown Linear Systems. ACC (2022)
Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning. CoRR (2022)
Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Neural Lyapunov Differentiable Predictive Control. CoRR (2022)
Thanh Long Vu, Sayak Mukherjee, Veronica Adetola
Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids. CoRR (2022)
Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG (2022)
Sayak Mukherjee, Ramij Raja Hossain, Yuan Liu, Wei Du, Veronica Adetola, Sheik M. Mohiuddin, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. CoRR (2022)
Sayak Mukherjee, He Bai, Aranya Chakrabortty
Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. Syst. Control. Lett. 154 (2021)
Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
On the Stochastic Stability of Deep Markov Models. CoRR (2021)
Sayak Mukherjee, Thanh Long Vu
On Distributed Model-Free Reinforcement Learning Control With Stability Guarantee. IEEE Control. Syst. Lett. 5 (5) (2021)
Wei Zeng, Adrian Caudillo, Sayak Mukherjee, Sang-Hyun Lee, Matthew B. Panzer
Development and multi-level validation of a computational model to predict traumatic aortic injury. Comput. Biol. Medicine 136 (2021)
Sayak Mukherjee, Aranya Chakrabortty, He Bai, Atena Darvishi, Bruce Fardanesh
Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. IEEE Trans. Smart Grid 12 (3) (2021)
Sayak Mukherjee, Thanh Long Vu
On Distributed Model-Free Reinforcement Learning Control with Stability Guarantee. ACC (2021)
Sayak Mukherjee, Ramij R. Hossain
Data-Driven Pole Placement in LMI Regions with Robustness Constraints. CoRR (2021)
Sayak Mukherjee, Veronica Adetola
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CoRR (2021)
Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
Safe Reinforcement Learning for Grid Voltage Control. CoRR (2021)
Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. CoRR (2021)
Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
On the Stochastic Stability of Deep Markov Models. NeurIPS (2021)
Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CDC (2021)
Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CoRR (2021)
Sayak Mukherjee, Veronica Adetola
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CCTA (2021)
Sayak Mukherjee, He Bai, Aranya Chakrabortty
Reduced-dimensional reinforcement learning control using singular perturbation approximations. Autom. 126 (2021)
Sayak Mukherjee, Thanh Long Vu
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix. CoRR (2020)
Sayak Mukherjee, He Bai, Aranya Chakrabortty
Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. CCTA (2020)
Sayak Mukherjee, He Bai, Aranya Chakrabortty
On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. ACC (2020)
Sayak Mukherjee, Thanh Long Vu
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator. CoRR (2020)
Thanh Long Vu, Sayak Mukherjee, Tim Yin, Renke Huang, Jie Tan, Qiuhua Huang
Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. CoRR (2020)
Sayak Mukherjee, He Bai, Aranya Chakrabortty
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations. CoRR (2020)
Sayak Mukherjee, Aranya Chakrabortty, Saman Babaei
Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency. CoRR (2019)
Sayak Mukherjee, Aranya Chakrabortty, He Bai
Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. ACC (2019)
Sayak Mukherjee, He Bai, Aranya Chakrabortty
On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. CDC (2018)
Sayak Mukherjee, Nan Xue, Aranya Chakrabortty
A Hierarchical Design for Damping Control of Wind-Integrated Power Systems Considering Heterogeneous Wind Farm Dynamics. CCTA (2018)
Sayak Mukherjee, David Stewart, William Stewart, Lewis L. Lanier, Jayajit Das
Connecting the dots across time: Reconstruction of single cell signaling trajectories using time-stamped data. CoRR (2016)
Jayajit Das, Sayak Mukherjee, Susan E. Hodge
Maximum Entropy Estimation of Probability Distribution of Variables in Higher Dimensions from Lower Dimensional Data. Entropy 17 (7) (2015)