activity
20172026
most citedOn Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems

58 citations · 76 across the 18 of their papers we have counts for

collaborators

22 papers

math.DS2026

Spectral Koopman Approach for Reconstructing State-space Geometry of Cislunar Restricted 3-Body Problem

Subhrajit Sinha, Sriram S. K. S. Narayanan, Raktim Bhattacharya +1

In this work, we propose a novel approach, based on the path integral formulation of Koopman spectrum, to discover the phase-space geometry of the planar Cislunar Restricted 3 Body…

eess.SY2026

Linear Systems as Representations of Time Groups

Subhrajit Sinha

In this paper, we develop a representation-theoretic formulation of discrete-time linear systems. We show that such systems are naturally viewed as representations of time groups a…

math.DS2022

Online Real-time Learning of Dynamical Systems from Noisy Streaming Data: A Koopman Operator Approach

S. Sinha, Sai P. Nandanoori, David Barajas-Solano

Recent advancements in sensing and communication facilitate obtaining high-frequency real-time data from various physical systems like power networks, climate systems, biological n…

eess.SY2022

Data-driven Influence Based Clustering of Dynamical Systems

Subhrajit Sinha

Community detection is a challenging and relevant problem in various disciplines of science and engineering like power systems, gene-regulatory networks, social networks, financial…

eess.SY2022

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

Subhrajit Sinha, Sai Pushpak Nandanoori, Jan Drgona +1

In recent years data-driven analysis of dynamical systems has attracted a lot of attention and transfer operator techniques, namely, Perron-Frobenius and Koopman operators are bein…

cs.LG2021★ 3 cited

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

Meghna Chakraborty, Timothy Gates, Subhrajit Sinha

Causal analysis and classification of injury severity applying non-parametric methods for traffic crashes has received limited attention. This study presents a methodological frame…