New results in optimal quadratic supply rates. - Debasattam Pal; Subhrajit Sinha; Madhu N. Belur; Harish K. Pillai (CDC, 2008)

Optimal placement of actuators and sensors for control of nonequilibrium dynamics. - Subhrajit Sinha; Umesh Vaidya; Rajeev Rajaram (ECC, 2013)

Formalism for information transfer in dynamical network. - Subhrajit Sinha; Umesh Vaidya (CDC, 2015)

Information-based measure for influence characterization in dynamical systems with applications. - Umesh Vaidya; Subhrajit Sinha (ACC, 2016)

Causality preserving information transfer measure for control dynamical system. - Subhrajit Sinha; Umesh Vaidya (CDC, 2016)

Identifying causal interaction in power system: Information-based approach. - Subhrajit Sinha; Pranav Sharma; Umesh Vaidya; Venkataramana Ajjarapu (CDC, 2017)

Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems. - Subhrajit Sinha; Bowen Huang; Umesh Vaidya (ACC, 2018)

Data-Driven Approach for Inferencing Causality and Network Topology. - Subhrajit Sinha; Umesh Vaidya (ACC, 2018)

On Information Transfer Based Characterization of Power System Stability. - Subhrajit Sinha; Pranav Sharma; Umesh Vaidya; Venkataramana Ajjarapu (CoRR, 2018)

On Computation of Koopman Operator from Sparse Data. - Subhrajit Sinha; Umesh Vaidya; Enoch Yeung (ACC, 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; et al. (BioCAS, 2019)

Online Learning of Dynamical Systems: An Operator Theoretic Approach. - Subhrajit Sinha; Sai Pushpak Nandanoori; Enoch Yeung (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)

Information Based Data-Driven Characterization of Stability and Influence in Power Systems. - Subhrajit Sinha; Pranav Sharma; Venkataramana Ajjarapu; Umesh Vaidya (CoRR, 2019)

Data-Driven Operator Theoretic Methods for Global Phase Space Learning. - Sai Pushpak Nandanoori; Subhrajit Sinha; Enoch Yeung (ACC, 2020)

Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. - Subhrajit Sinha; Sai Pushpak Nandanoori; Enoch Yeung (SmartGridComm, 2020)

Data Driven Online Learning of Power System Dynamics. - Subhrajit Sinha; Sai Pushpak Nandanoori; Enoch Yeung (CoRR, 2020)

On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems. - Subhrajit Sinha; Bowen Huang; Umesh Vaidya (J. Nonlinear Sci., 2020)

On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems. - Subhrajit Sinha; Umesh Vaidya (J. Nonlinear Sci., 2020)

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 (CDC, 2021)

Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic. - Subhrajit Sinha; Meghna Chakraborty (CoRR, 2021)

Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms. - Meghna Chakraborty; Timothy Gates; Subhrajit Sinha (CoRR, 2021)

Data-driven Resilience Characterization of Control Dynamical Systems. - Subhrajit Sinha; Sai Pushpak Nandanoori; Thiagarajan Ramachandran; Craig Bakker; Ankit Singhal (ACC, 2022)

Data-driven Characterization of Recovery Energy in Controlled Dynamical Systems using Koopman Operator. - Thiagarajan Ramachandran; Sai Pushpak Nandanoori; Subhrajit Sinha; Craig Bakker (CDC, 2022)

Data-driven Influence Based Clustering of Dynamical Systems. - Subhrajit Sinha (ECC, 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 (ECC, 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 (LoG, 2022)

Online Real-time Learning of Dynamical Systems from Noisy Streaming Data. - Subhrajit Sinha; Sai Pushpak Nandanoori; David Barajas-Solano (CoRR, 2022)

Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. - Sai Pushpak Nandanoori; Subhrajit Sinha; Enoch Yeung (J. Nonlinear Sci., 2022)

On Formalisation of Martin Distance for Linear Dynamical Systems. - Subhrajit Sinha; Sai Pushpak Nandanoori; Bowen Huang; Thiagarajan Ramachandran; Craig Bakker (ACC, 2024)

Grid-Forming Storage Networks: Analytical Characterization of Damping and Design Insights. - Kaustav Chatterjee; Ramij Raja Hossain; Sai Pushpak Nandanoori; Soumya Kundu; Subhrajit Sinha; Diane Baldwin; Ronald Melton (CDC, 2024)

Empowering the Grid: Decentralized Autonomous Control for Effective Utilization and Resilience. - Sai Pushpak Nandanoori; Alok Kumar Bharati; Subhrajit Sinha; Soumya Kundu; Veronica Adetola; Kevin P. Schneider (CoRR, 2024)