Subhrajit Sinha

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 31

Top Topics

Causal Inference

Dynamical Systems

Top Venues

J. Nonlinear Sci.

Publications

Subhrajit Sinha, Sai Pushpak Nandanoori, David Barajas-Solano
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data. CoRR (2022)
Thiagarajan Ramachandran, Sai Pushpak Nandanoori, Subhrajit Sinha, Craig Bakker
Data-driven Characterization of Recovery Energy in Controlled Dynamical Systems using Koopman Operator. CDC (2022)
Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. CoRR (2022)
Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. ECC (2022)
Subhrajit Sinha, Sai Pushpak Nandanoori, Thiagarajan Ramachandran, Craig Bakker, Ankit Singhal
Data-driven Resilience Characterization of Control Dynamical Systems. ACC (2022)
Subhrajit Sinha
Data-driven Influence Based Clustering of Dynamical Systems. CoRR (2022)
Subhrajit Sinha
Data-driven Influence Based Clustering of Dynamical Systems. ECC (2022)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. J. Nonlinear Sci. 32 (6) (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)
Subhrajit Sinha, Meghna Chakraborty
Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic. CoRR (2021)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. CoRR (2021)
Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury
Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach. CDC (2021)
Meghna Chakraborty, Timothy Gates, Subhrajit Sinha
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms. CoRR (2021)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Data Driven Online Learning of Power System Dynamics. CoRR (2020)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. ACC (2020)
Subhrajit Sinha, Umesh Vaidya
On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems. J. Nonlinear Sci. 30 (4) (2020)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. SmartGridComm (2020)
Subhrajit Sinha, Bowen Huang, Umesh Vaidya
On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems. J. Nonlinear Sci. 30 (5) (2020)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. CoRR (2020)
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. CoRR (2019)
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
On Computation of Koopman Operator from Sparse Data. ACC (2019)
Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya
Information Based Data-Driven Characterization of Stability and Influence in Power Systems. CoRR (2019)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. CoRR (2019)
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
A data-driven method for quantifying the impact of a genetic circuit on its host. BioCAS (2019)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Online Learning of Dynamical Systems: An Operator Theoretic Approach. CoRR (2019)
Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu
On Information Transfer Based Characterization of Power System Stability. CoRR (2018)
Subhrajit Sinha, Umesh Vaidya
Data-Driven Approach for Inferencing Causality and Network Topology. ACC (2018)
Subhrajit Sinha, Bowen Huang, Umesh Vaidya
Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems. ACC (2018)
Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu
Identifying causal interaction in power system: Information-based approach. CDC (2017)
Subhrajit Sinha, Umesh Vaidya
Causality preserving information transfer measure for control dynamical system. CDC (2016)
Umesh Vaidya, Subhrajit Sinha
Information-based measure for influence characterization in dynamical systems with applications. ACC (2016)
Subhrajit Sinha, Umesh Vaidya
Formalism for information transfer in dynamical network. CDC (2015)
Subhrajit Sinha, Umesh Vaidya, Rajeev Rajaram
Optimal placement of actuators and sensors for control of nonequilibrium dynamics. ECC (2013)
Debasattam Pal, Subhrajit Sinha, Madhu N. Belur, Harish K. Pillai
New results in optimal quadratic supply rates. CDC (2008)