Mrinal Kumar

44 papers B 1C 24Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 C conf
Autonomous Wildland Fire Monitoring through Integrated UAS Path Planning and Sensor Fusion.
ACC
Bryce Ford, Mrinal Kumar, Artun Sel, Zaher M. Kassas, Xi Yu
2025 J jnl
Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation.
CoRR
Joon Tai Kim, Tianle Chen, Ziyu Dong, Nishanth Kunchala, Alexander Guller, Daniel Ospina Acero, Roger Williams, Mrinal Kumar
2025 C conf
Evidential Intent Assignment using Belief States in the Hill Frame.
ACC
Rondale Balo, Mrinal Kumar, Alexander A. Soderlund
2024 C conf
Analysis of Backtracking A* for Resource Constrained Shortest Path Problems.
ACC
Bryce Ford, Mrinal Kumar
2024 J jnl
On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics.
CoRR
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak, Suman Chakravorty, Mrinal Kumar
2024 J jnl
Temporally-Consistent Koopman Autoencoders for Forecasting Dynamical Systems.
CoRR
Indranil Nayak, Debdipta Goswami, Mrinal Kumar, Fernando L. Teixeira
2024 J jnl
Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space.
CoRR
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak, Suman Chakravorty, Mrinal Kumar
2023 J jnl
Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems.
IEEE Access
Andrew W. Vanfossen, Mrinal Kumar
2023 J jnl
Estimating the Spread of Wildland Fires via Evidence-Based Information Fusion.
IEEE Trans. Control. Syst. Technol.
Alexander A. Soderlund, Mrinal Kumar
2022 C conf
Finite-time stable disturbance observer for unmanned aerial vehicles.
ACC
Pradhyumn Bhale, Mrinal Kumar, Amit K. Sanyal
2022 — conf
Role of Autonomous Unmanned Aerial Systems in Prescribed Burn Projects.
DDDAS
Mrinal Kumar, Roger Williams, Amit K. Sanyal
2021 J jnl
Detection and prediction of equilibrium states in kinetic plasma simulations via mode tracking using reduced-order dynamic mode decomposition.
J. Comput. Phys.
Indranil Nayak, Mrinal Kumar, Fernando L. Teixeira
2020 C conf
Biased Kernel Density Estimators for Chance Constrained Optimal Control Problems.
ACC
Rachel E. Keil, Alexander Miller, Mrinal Kumar, Anil V. Rao
2020 C conf
Dynamic Joint Probabilistic Data Association Framework for Target Tracking with Ground Robots.
ACC
Sriram Krishnaswamy, Shane Vitullo, Will Laidler, Mrinal Kumar
2020 C conf
Risk Aware SUAS Path Planning in an Unstructured Wildfire Environment.
ACC
Rachit Aggarwal, Alexander A. Soderlund, Mrinal Kumar, David J. Grymin
2019 C conf
A Window-based Tensor Decomposition Approach to Data-Association for Multi Target Tracking.
ACC
Sriram Krishnaswamy, Mrinal Kumar
2019 C conf
On the Optimal Condition for Battery Aging Assessment Based on an Electrochemical Model.
ACC
Meng Huang, Mrinal Kumar, Chao Yang
2018 C conf
Discrepancy Driven Adaptive Monte Carlo for Forward Uncertainty Forecasting in Nonlinear Dynamical Systems.
ACC
Chao Yang, Mrinal Kumar
2018 — conf
Markovian Wildfire Modeling via Evidential Reasoning.
CDC
Alexander A. Soderlund, Mrinal Kumar
2018 J jnl
On the effectiveness of Monte Carlo for initial uncertainty forecasting in nonlinear dynamical systems.
Autom.
Chao Yang, Mrinal Kumar
2018 — ch.
Optimization of Multi-target Tracking Within a Sensor Network Via Information Guided Clustering.
Handbook of Dynamic Data Driven Applications Systems
Alexander A. Soderlund, Mrinal Kumar
2017 — conf
On the transient performance of Monte Carlo simulations for initial uncertainty forecasting.
CDC
Chao Yang, Mrinal Kumar
2016 C conf
Uncertainty forecasting in the perturbed two-body problem via tensor decomposition.
ACC
Yifei Sun, Mrinal Kumar
2015 C conf
A novel approach to chance constrained optimal control problems.
ACC
Zinan Zhao, Fengjin Liu, Mrinal Kumar, Anil V. Rao
2015 J jnl
A numerical solver for high dimensional transient Fokker-Planck equation in modeling polymeric fluids.
J. Comput. Phys.
Yifei Sun, Mrinal Kumar
2015 C conf
An evaluation of Monte Carlo for nonlinear initial uncertainty propagation in Keplerian mechanics.
FUSION
Chao Yang, Kevin Buck, Mrinal Kumar
2015 J jnl
An information guided framework for simulated annealing.
J. Glob. Optim.
Chao Yang, Mrinal Kumar
2015 C conf
Nonlinear Bayesian filtering based on Fokker-Planck equation and tensor decomposition.
FUSION
Yifei Sun, Mrinal Kumar
2015 C conf
Solution of high dimensional transient Fokker-Planck equations by tensor decomposition.
ACC
Yifei Sun, Mrinal Kumar
2014 C conf
A MCMC/Bernstein approach to chance constrained programs.
ACC
Zinan Zhao, Mrinal Kumar
2014 — conf
A split-bernstein approach to chance constrained programs.
CDC
Zinan Zhao, Mrinal Kumar
2014 C conf
A tensor decomposition approach to high dimensional stationary Fokker-Planck equations.
ACC
Yifei Sun, Mrinal Kumar
2014 — conf
Beyond Monte Carlo for the initial uncertainty propagation problem.
CDC
Chao Yang, Mrinal Kumar
2014 J jnl
Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation.
Comput. Math. Appl.
Yifei Sun, Mrinal Kumar
2012 C conf
A comparative study of randomized algorithms for multidimensional integration.
FUSION
Zinan Zhao, Mrinal Kumar
2012 C conf
A meshless p-PUFEM Fokker-Planck equation solver with automatic boundary condition enforcement.
ACC
Yifei Sun, Mrinal Kumar
2012 C conf
An MCMC-based particle filter for multiple target tracking.
FUSION
Zinan Zhao, Mrinal Kumar
2012 C conf
An information guided framework for simulated annealing.
ACC
Mrinal Kumar
2010 — conf
A nonlinear filter based on Fokker Planck equation and MCMC measurement updates.
CDC
Mrinal Kumar, Suman Chakravorty
2010 C conf
A nonlinear filter based on Fokker-Planck equation.
ACC
Mrinal Kumar, Suman Chakravorty
2010 B conf
Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization.
IJCNN
Amanda Kathryn Lampton, John Valasek, Mrinal Kumar
2007 C conf
A Homotopic Approach to Domain Determination and Solution Refinement for the Fokker-Planck Equation.
ACC
Mrinal Kumar, Suman Chakravorty, John L. Junkins
2007 — conf
A semianalytic meshless approach to the Fokker-Planck equation with application to hybrid systems.
CDC
Mrinal Kumar, Suman Chakravorty, John L. Junkins
2006 C conf
A quasi-Gaussian Kalman filter.
ACC
Suman Chakravorty, Mrinal Kumar, Puneet Singla