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ORCIDSayak Mukherjee
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2020 – today
- 2024
[j11]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: 107986 (2024)- [j10]Kyung-bin Kwon, Ramij Raja Hossain, Sayak Mukherjee, Kaustav Chatterjee, Soumya Kundu, Sameer Nekkalapu, Marcelo Elizondo:
Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach. IEEE Control. Syst. Lett. 8: 2120-2125 (2024) - [c16]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: 241-252 - [i21]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 abs/2401.06713 (2024) - [i20]Sayak Mukherjee, Andrea Simonetto, Hadi Jamali Rad:
MAPL: Model Agnostic Peer-to-peer Learning. CoRR abs/2403.19792 (2024) - [i19]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 abs/2405.09675 (2024) - 2023
- [j9]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: 3854-3859 (2023) - [j8]Darren Wethington, Sayak Mukherjee, Jayajit Das:
McSNAC: A software to approximate first-order signaling networks from mass cytometry data. Quant. Biol. 11(1): 59 (2023) - [j7]Sayak Mukherjee, Thanh Long Vu:
Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix. IEEE Trans. Autom. Control. 68(3): 1746-1752 (2023) - [c15]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: 4483-4488 - [c14]Thanh Long Vu, Sayak Mukherjee, Veronica Adetola:
Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids. ISGT 2023: 1-5 - [i18]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 abs/2311.12264 (2023) - 2022
- [c13]Sayak Mukherjee, Thanh Long Vu:
Learning the Robust and Structured Control of Unknown Linear Systems. ACC 2022: 4758-4763 - [c12]Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Neural Lyapunov Differentiable Predictive Control. CDC 2022: 2097-2104 - [c11]Sayak Mukherjee, Ramij Raja Hossain:
Data-Driven Pole Placement in LMI Regions with Robustness Guarantees. CDC 2022: 4010-4015 - [c10]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: 45 - [i17]Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR abs/2203.01447 (2022) - [i16]Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Neural Lyapunov Differentiable Predictive Control. CoRR abs/2205.10728 (2022) - [i15]Thanh Long Vu, Sayak Mukherjee, Veronica Adetola:
Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids. CoRR abs/2209.07385 (2022) - [i14]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 abs/2212.08973 (2022) - [i13]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 abs/2212.10064 (2022) - 2021
- [j6]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
Reduced-dimensional reinforcement learning control using singular perturbation approximations. Autom. 126: 109451 (2021) - [j5]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: 104700 (2021) - [j4]Sayak Mukherjee, Thanh Long Vu:
On Distributed Model-Free Reinforcement Learning Control With Stability Guarantee. IEEE Control. Syst. Lett. 5(5): 1615-1620 (2021) - [j3]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: 104983 (2021) - [j2]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): 2389-2401 (2021) - [c9]Sayak Mukherjee, Thanh Long Vu:
On Distributed Model-Free Reinforcement Learning Control with Stability Guarantee. ACC 2021: 2175-2180 - [c8]Sayak Mukherjee, Veronica Adetola:
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CCTA 2021: 905-910 - [c7]Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CDC 2021: 3652-3657 - [c6]Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
On the Stochastic Stability of Deep Markov Models. NeurIPS 2021: 24033-24047 - [i12]Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. CoRR abs/2102.00077 (2021) - [i11]Sayak Mukherjee, Veronica Adetola:
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CoRR abs/2102.00573 (2021) - [i10]Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CoRR abs/2103.14186 (2021) - [i9]Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
On the Stochastic Stability of Deep Markov Models. CoRR abs/2111.04601 (2021) - [i8]Sayak Mukherjee, Ramij Raja Hossain:
Data-Driven Pole Placement in LMI Regions with Robustness Constraints. CoRR abs/2111.06590 (2021) - [i7]Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
Safe Reinforcement Learning for Grid Voltage Control. CoRR abs/2112.01484 (2021) - 2020
- [c5]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. ACC 2020: 3914-3919 - [c4]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. CCTA 2020: 346-351 - [i6]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations. CoRR abs/2004.14501 (2020) - [i5]Sayak Mukherjee, Thanh Long Vu:
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix. CoRR abs/2011.01128 (2020) - [i4]Sayak Mukherjee, Thanh Long Vu:
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator. CoRR abs/2011.07011 (2020) - [i3]Thanh Long Vu, Sayak Mukherjee, Tim Yin, Renke Huang, Jie Tan, Qiuhua Huang:
Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. CoRR abs/2011.09664 (2020)
2010 – 2019
- 2019
- [c3]Sayak Mukherjee, Aranya Chakrabortty, He Bai:
Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. ACC 2019: 2233-2238 - [i2]Sayak Mukherjee, Aranya Chakrabortty, Saman Babaei:
Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency. CoRR abs/1901.02098 (2019) - 2018
- [c2]Sayak Mukherjee, Nan Xue, Aranya Chakrabortty:
A Hierarchical Design for Damping Control of Wind-Integrated Power Systems Considering Heterogeneous Wind Farm Dynamics. CCTA 2018: 245-250 - [c1]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. CDC 2018: 5288-5293 - 2016
- [i1]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 abs/1609.08035 (2016) - 2015
- [j1]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): 4986-4999 (2015)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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