Subhrajit Sinha

According to our database, Subhrajit Sinha authored at least 29 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis.

Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung

J. Nonlinear Sci., 2022

Online Real-time Learning of Dynamical Systems from Noisy Streaming Data.

Subhrajit Sinha, Sai Pushpak Nandanoori, David Barajas-Solano

CoRR, 2022

Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems.

Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury

Proceedings of the Learning on Graphs Conference, 2022

Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach.

Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie

Proceedings of the European Control Conference, 2022

Data-driven Influence Based Clustering of Dynamical Systems.

Subhrajit Sinha

Proceedings of the European Control Conference, 2022

Data-driven Characterization of Recovery Energy in Controlled Dynamical Systems using Koopman Operator.

Thiagarajan Ramachandran, Sai Pushpak Nandanoori, Subhrajit Sinha, Craig Bakker

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-driven Resilience Characterization of Control Dynamical Systems.

Subhrajit Sinha, Sai Pushpak Nandanoori, Thiagarajan Ramachandran, Craig Bakker, Ankit Singhal

Proceedings of the American Control Conference, 2022

2021

Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms.

Meghna Chakraborty, Timothy Gates, Subhrajit Sinha

CoRR, 2021

Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic.

Subhrajit Sinha, Meghna Chakraborty

CoRR, 2021

Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach.

Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems.

Subhrajit Sinha, Umesh Vaidya

J. Nonlinear Sci., 2020

On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems.

Subhrajit Sinha, Bowen Huang, Umesh Vaidya

J. Nonlinear Sci., 2020

Data Driven Online Learning of Power System Dynamics.

Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung

CoRR, 2020

Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach.

Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Data-Driven Operator Theoretic Methods for Global Phase Space Learning.

Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung

Proceedings of the 2020 American Control Conference, 2020

2019

Information Based Data-Driven Characterization of Stability and Influence in Power Systems.

Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya

CoRR, 2019

Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics.

Subhrajit Sinha, Umesh Vaidya, Enoch Yeung

CoRR, 2019

Online Learning of Dynamical Systems: An Operator Theoretic Approach.

Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung

CoRR, 2019

A data-driven method for quantifying the impact of a genetic circuit on its host.

Aqib Hasnain, Diveena Becker, Atsede Siba, Narendra Maheshri, Ben Gordon, Chris Voigt, Enoch Yeung, Subhrajit Sinha, Yuval Dorfan, Amin Espah Borujeni, Yongjin Park, Paul Maschhoff, Uma Saxena, Joshua Urrutia, Niall Gaffney

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

On Computation of Koopman Operator from Sparse Data.

Subhrajit Sinha, Umesh Vaidya, Enoch Yeung

Proceedings of the 2019 American Control Conference, 2019

2018

On Information Transfer Based Characterization of Power System Stability.

Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu

CoRR, 2018

Data-Driven Approach for Inferencing Causality and Network Topology.

Subhrajit Sinha, Umesh Vaidya

Proceedings of the 2018 Annual American Control Conference, 2018

Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems.

Subhrajit Sinha, Bowen Huang, Umesh Vaidya

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Identifying causal interaction in power system: Information-based approach.

Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Causality preserving information transfer measure for control dynamical system.

Subhrajit Sinha, Umesh Vaidya

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Information-based measure for influence characterization in dynamical systems with applications.

Umesh Vaidya, Subhrajit Sinha

Proceedings of the 2016 American Control Conference, 2016

2015

Formalism for information transfer in dynamical network.

Subhrajit Sinha, Umesh Vaidya

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2013

Optimal placement of actuators and sensors for control of nonequilibrium dynamics.

Subhrajit Sinha, Umesh Vaidya, Rajeev Rajaram

Proceedings of the 12th European Control Conference, 2013

2008

New results in optimal quadratic supply rates.

Debasattam Pal, Subhrajit Sinha, Madhu N. Belur, Harish K. Pillai

Proceedings of the 47th IEEE Conference on Decision and Control, 2008