Faculty

Institution

Unit

Venue

Mrinal Kumar

Associate Professor

Ohio State University

Affiliations

College of Engineering

Mechanical and Aerospace Engineering

Mrinal Kumar is currently serving as a College Of Engineering Associate Professor at Ohio State University.

Honors

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Experiences

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Education

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Mrinal Kumar

Ohio State University

Associate Professor

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aerospace engineering systems engineering applied mathematics control systems machine learning robotics guidance system automatic control applied physics path planning navigation control engineering control science unmanned aerial vehicles aeronautics numerical analysis numerical simulations scientific computing information fusion control optimization state estimation aerial robotics tensor decomposition computational electromagnetics energy storage unmanned aircraft systems control system technology astronautics evidential reasoning acta astronautica mathematical optimization control management stationary fokker-planck equation nonlinear dynamical systems fokker-planck equation uncertainty forecasting temperature sensors atmospheric research fire technology finite element methods polymer modeling monte carlo object tracking aerospace technology nonlinear control stochastic control fire risk analysis chance-constrained optimal control lithium-ion battery cell nonlinear filter spreading wildfire dynamic obstacles numerical mathematics spectral theory vibration control bayesian analysis global optimization computer modeling applied mathematical modelling vector processing numerical computation computer analysis acoustical engineering physical acoustics bioacoustics engineering acoustic high-dimensional method continuum modeling biomaterial modeling mathematical control theory theoretical modeling chebyshev spectral differentiation numerical solution transient fokker-planck equation numerical solver polymeric fluids uncertainty analysis uncertainty modeling process control stochastic process uncertainty quantification

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Particle-In-Cell Kinetic Plasma Simulations via Reduced-Order Modeling of Space-Charge Dynamics Using Dynamic Mode Decomposition. Physical review. E (2024)

Indranil NayakFernando L. TeixeiraDong-Yeop NaMrinal KumarYuri A. Omelchenko

dynamic mode decompositionapplied physicsspace-charge dynamicsatomic physics

Analysis of Backtracking a* for Resource Constrained Shortest Path Problems. 2022 American Control Conference (ACC) (2024)

Bryce FordMrinal Kumar

active controlsystems engineeringcontrol systemsconstraint satisfactionpath planningcontrol optimizationcontrol sciencecontrol environmentshortest path problemstrajectory optimizationautomatic controlengineering

Physics-Informed Koopman Autoencoders for Dimensionality Reduction and Forecasting of Nonlinear Kinetic Plasma-Wave Interactions. 2022 International Conference on Electromagnetics in Advanced Applications (ICEAA) (2024)

Indranil NayakHaitham Hassan SalehMrinal KumarFernando Lisboa Teixeira

physicsnonlinear dimensionality reductionphysics-informed koopman autoencoders

Role of Autonomous Unmanned Aerial Systems in Prescribed Burn Projects. Lecture notes in computer science (2024)

Mrinal KumarRoger WilliamsAmit Sanyal

environmental engineeringscientific computingsystems engineeringroboticsaeronauticsaerial roboticscomputer scienceprescribed burn projectsoperations research

Wildland Fire Rate of Spread Estimation Using an Autonomous Unmanned Aerial System: A Case Study. AIAA SCITECH 2022 Forum (2024)

Bryce T. FordJoon Tai KimZiyu DongRoger WilliamsMrinal Kumar

wildland fire rateforestryclimatologyspread estimationwildland firefire ecologyroboticsenvironmental scienceclimate changeremote sensingforest ecologyearth scienceaerial roboticsecology

An Iterative Scheme to Learn System Dynamics of Space Objects From Partial State Information. AIAA SCITECH 2022 Forum (2023)

Sriram NarayananIndranil NayakMrinal Kumar

partial state informationspace objectsaerospace engineeringmachine learningiterative scheme

Autonomous Monitoring of Wildfires With Vision-Equipped Uas and Temperature Sensors via Evidential Reasoning. Springer eBooks (2023)

Alexander SoderlundMrinal Kumar

evidential reasoningenvironmental sciencewildfiresvision-equipped uasartificial intelligenceremote sensingenvironmental monitoringremote monitoringcomputer visionmachine visiontemperature sensorsmulti-sensor managementactive controlsensor technologysystems engineeringfire technologyembedded sensingautonomous monitoringcomputer scienceunmanned aircraft systems

DAGGER: Data Augmentation Generative Framework for Time-Series Data in Data-Driven Smart Manufacturing Systems. Annual Conference of the PHM Society (2023)

Nicholas HemlebenDaniel Ospina-AceroDavid BlankAndrew VanFossenFrank ZahiriMrinal Kumar

systems engineeringsmart manufacturinghealth informaticsdata scienceprognosistime-series datadata augmentationhealth sciences

Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems. IEEE Access (2023)

Andrew W. VanfossenMrinal Kumar

information technologyelectrical engineeringapplied mathematicsadaptive controlforecastingcomputer science

Hybrid a* Path Search With Resource Constraints and Dynamic Obstacles. Frontiers in Aerospace Engineering (2023)

Alán CortezBryce FordIndranil NayakSriram NarayananMrinal Kumar

systems engineeringaerospace technologydynamic obstaclesnavigationaerospace engineeringaeronauticsengineering

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Mrinal Kumar

Associate Professor

Ohio State University

Affiliations

College of Engineering

Mechanical and Aerospace Engineering

Mrinal Kumar is currently serving as a College Of Engineering Associate Professor at Ohio State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mrinal Kumar

Ohio State University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Particle-In-Cell Kinetic Plasma Simulations via Reduced-Order Modeling of Space-Charge Dynamics Using Dynamic Mode Decomposition. Physical review. E (2024)

Indranil NayakFernando L. TeixeiraDong-Yeop NaMrinal KumarYuri A. Omelchenko

dynamic mode decompositionapplied physicsspace-charge dynamicsatomic physics

Analysis of Backtracking a* for Resource Constrained Shortest Path Problems. 2022 American Control Conference (ACC) (2024)

Bryce FordMrinal Kumar

Indranil NayakHaitham Hassan SalehMrinal KumarFernando Lisboa Teixeira

physicsnonlinear dimensionality reductionphysics-informed koopman autoencoders

Role of Autonomous Unmanned Aerial Systems in Prescribed Burn Projects. Lecture notes in computer science (2024)

Mrinal KumarRoger WilliamsAmit Sanyal

environmental engineeringscientific computingsystems engineeringroboticsaeronauticsaerial roboticscomputer scienceprescribed burn projectsoperations research

Wildland Fire Rate of Spread Estimation Using an Autonomous Unmanned Aerial System: A Case Study. AIAA SCITECH 2022 Forum (2024)

Bryce T. FordJoon Tai KimZiyu DongRoger WilliamsMrinal Kumar

wildland fire rateforestryclimatologyspread estimationwildland firefire ecologyroboticsenvironmental scienceclimate changeremote sensingforest ecologyearth scienceaerial roboticsecology

An Iterative Scheme to Learn System Dynamics of Space Objects From Partial State Information. AIAA SCITECH 2022 Forum (2023)

Sriram NarayananIndranil NayakMrinal Kumar

partial state informationspace objectsaerospace engineeringmachine learningiterative scheme

Autonomous Monitoring of Wildfires With Vision-Equipped Uas and Temperature Sensors via Evidential Reasoning. Springer eBooks (2023)

Alexander SoderlundMrinal Kumar

DAGGER: Data Augmentation Generative Framework for Time-Series Data in Data-Driven Smart Manufacturing Systems. Annual Conference of the PHM Society (2023)

Nicholas HemlebenDaniel Ospina-AceroDavid BlankAndrew VanFossenFrank ZahiriMrinal Kumar

systems engineeringsmart manufacturinghealth informaticsdata scienceprognosistime-series datadata augmentationhealth sciences

Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems. IEEE Access (2023)

Andrew W. VanfossenMrinal Kumar

information technologyelectrical engineeringapplied mathematicsadaptive controlforecastingcomputer science

Hybrid a* Path Search With Resource Constraints and Dynamic Obstacles. Frontiers in Aerospace Engineering (2023)

Alán CortezBryce FordIndranil NayakSriram NarayananMrinal Kumar

systems engineeringaerospace technologydynamic obstaclesnavigationaerospace engineeringaeronauticsengineering

1
2
3
4
5
10
10 / page

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Similar Faculty Members

Puneet Singla

Institution

Pennsylvania State University

aerospace

unmanned aerial vehicle

Kamesh Subbarao

Institution

University of Texas at Arlington

aerospace

celestial mechanics

Amit K. Sanyal

Institution

Syracuse University

space robotics

guidance system

Manoranjan Majji

Institution

Texas A&M University

aerospace engineering

systems engineering

Suman Chakravorty

Institution

Texas A&M University

systems engineering

computer science

Christian Claudel

Institution

University of Texas at Austin

distributed parameter systems

control engineering

Richard Linares

Institution

Massachusetts Institute of Technology

aerospace engineering

space exploration

John Crassidis

Institution

University at Buffalo

robust estimation

space exploration

Petros Voulgaris

Institution

University of Nevada, Reno

robust control

command and control

Emmanuel G. Collins

Institution

University of Louisville