Subhrajit Sinha

According to our database, Subhrajit Sinha authored at least 19 papers between 2008 and 2020.

Collaborative distances:

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

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 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