| On robust computation of koopman operator and prediction in random dynamical systems S Sinha, B Huang, U Vaidya Journal of Nonlinear Science 30 (5), 2057-2090, 2020 | 54 | 2020 |
| Operator theoretic framework for optimal placement of sensors and actuators for control of nonequilibrium dynamics S Sinha, U Vaidya, R Rajaram Journal of Mathematical Analysis and Applications 440 (2), 750-772, 2016 | 40 | 2016 |
| Robust approximation of koopman operator and prediction in random dynamical systems S Sinha, B Huang, U Vaidya 2018 Annual American Control Conference (ACC), 5491-5496, 2018 | 38 | 2018 |
| On computation of koopman operator from sparse data S Sinha, U Vaidya, E Yeung 2019 American Control Conference (ACC), 5519-5524, 2019 | 37 | 2019 |
| Koopman operator methods for global phase space exploration of equivariant dynamical systems S Sinha, SP Nandanoori, E Yeung IFAC-PapersOnLine 53 (2), 1150-1155, 2020 | 28 | 2020 |
| Causality preserving information transfer measure for control dynamical system S Sinha, U Vaidya 2016 IEEE 55th Conference on Decision and Control (CDC), 7329-7334, 2016 | 27 | 2016 |
| On Information Transfer in Discrete Dynamical Systems S Sinha, U Vaidya Indian Control Conference, 2017 | 26 | 2017 |
| Optimal Placement of Actuators and Sensors for Control of Nonequilibrium Dynamics , S Sinha, R Rajaram, U Vaidya ECC 2013, 2013 | 26 | 2013 |
| Data-driven operator theoretic methods for global phase space learning SP Nandanoori, S Sinha, E Yeung 2020 American Control Conference (ACC), 4551-4557, 2020 | 23 | 2020 |
| A data-driven method for quantifying the impact of a genetic circuit on its host A Hasnain, S Sinha, Y Dorfan, AE Borujeni, Y Park, P Maschhoff, ... 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019 | 23 | 2019 |
| On data-driven computation of information transfer for causal inference in discrete-time dynamical systems S Sinha, U Vaidya Journal of Nonlinear Science 30 (4), 1651-1676, 2020 | 21 | 2020 |
| On information transfer-based characterization of power system stability S Sinha, P Sharma, U Vaidya, V Ajjarapu IEEE Transactions on Power Systems 34 (5), 3804-3812, 2019 | 18 | 2019 |
| Formalism for information transfer in dynamical network S Sinha, U Vaidya 2015 54th IEEE Conference on Decision and Control (CDC), 5731-5736, 2015 | 18 | 2015 |
| Data driven online learning of power system dynamics S Sinha, SP Nandanoori, E Yeung 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 17 | 2020 |
| Causal analysis and classification of traffic crash injury severity using machine learning algorithms M Chakraborty, TJ Gates, S Sinha Data science for transportation 5 (2), 12, 2023 | 16 | 2023 |
| Analysis and prediction of human mobility in the United States during the early stages of the COVID-19 pandemic using regularized linear models M Chakraborty, M Shakir Mahmud, TJ Gates, S Sinha Transportation research record 2677 (4), 380-395, 2023 | 16 | 2023 |
| Identifying causal interaction in power system: Information-based approach S Sinha, P Sharma, U Vaidya, V Ajjarapu 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2041 - 2046, 2017 | 15 | 2017 |
| Data-driven approach for inferencing causality and network topology S Sinha, U Vaidya 2018 Annual American Control Conference (ACC), 436-441, 2018 | 13 | 2018 |
| Data-driven stabilization of discrete-time control-affine nonlinear systems: A Koopman operator approach S Sinha, SP Nandanoori, J Drgona, D Vrabie 2022 European Control Conference (ECC), 552-559, 2022 | 12 | 2022 |
| Information-based measure for influence characterization in dynamical systems with applications U Vaidya, S Sinha 2016 American Control Conference (ACC), 7147-7152, 2016 | 12 | 2016 |
Umesh VaidyaProfessorVerified email at clemson.edu