Baskar Ganapathysubramanian
Orcid: 0000-0002-8931-4852
According to our database1,
Baskar Ganapathysubramanian
authored at least 84 papers
between 2006 and 2024.
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Bibliography
2024
Direct numerical simulation of electrokinetic transport phenomena in fluids: Variational multi-scale stabilization and octree-based mesh refinement.
J. Comput. Phys., March, 2024
A computational framework for transmission risk assessment of aerosolized particles in classrooms.
Eng. Comput., February, 2024
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean.
CoRR, 2024
Solving fluid flow problems in space-time with multiscale stabilization: formulation and examples.
CoRR, 2024
CoRR, 2024
2023
Comput. Electron. Agric., October, 2023
A projection-based, semi-implicit time-stepping approach for the Cahn-Hilliard Navier-Stokes equations on adaptive octree meshes.
J. Comput. Phys., February, 2023
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension.
CoRR, 2023
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes.
CoRR, 2023
Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization.
CoRR, 2023
Deep learning powered real-time identification of insects using citizen science data.
CoRR, 2023
CoRR, 2023
Geometric Modeling and Physics Simulation Framework for Building a Digital Twin of Extrusion-based Additive Manufacturing.
CoRR, 2023
CoRR, 2023
Direct numerical simulation of electrokinetic transport phenomena: variational multi-scale stabilization and octree-based mesh refinement.
CoRR, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Algorithm 1025: PARyOpt: A Software for Parallel Asynchronous Remote Bayesian Optimization.
ACM Trans. Math. Softw., 2022
GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics.
SoftwareX, 2022
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes.
Comput. Phys. Commun., 2022
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS).
CoRR, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Nat. Comput. Sci., 2021
Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems.
Frontiers Big Data, 2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs.
CoRR, 2021
Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis.
Comput. Math. Appl., 2021
Proceedings of the International Conference for High Performance Computing, 2021
Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources.
Proceedings of the 2021 SC Workshops Supplementary Proceedings, 2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes.
J. Comput. Phys., 2020
Determination of the Free Energies of Mixing of Organic Solutions through a Combined Molecular Dynamics and Bayesian Statistics Approach.
J. Chem. Inf. Model., 2020
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications.
CoRR, 2020
CoRR, 2020
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis.
CoRR, 2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.
CoRR, 2020
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping.
CoRR, 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning.
CoRR, 2020
Comput. Aided Des., 2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Solving PDEs in space-time: 4D tree-based adaptivity, mesh-free and matrix-free approaches.
Proceedings of the International Conference for High Performance Computing, 2019
Transfer Operator Based Approach for Estimating After Release Contaminant Distribution in Indoor Environment.
Proceedings of the 2019 American Control Conference, 2019
2018
Parallel-In-Space-Time, Adaptive Finite Element Framework for Nonlinear Parabolic Equations.
SIAM J. Sci. Comput., 2018
Proc. Natl. Acad. Sci. USA, 2018
Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
PLoS Comput. Biol., 2018
A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Interpretable deep learning for guided structure-property explorations in photovoltaics.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps.
CoRR, 2018
An automated tassel detection and trait extraction pipeline to support high-throughput field imaging of maize.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A finite element approach to self-consistent field theory calculations of multiblock polymers.
J. Comput. Phys., 2017
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean.
CoRR, 2017
2016
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge.
CoRR, 2016
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection.
CoRR, 2016
2015
Sci. Program., 2015
A Novel Framework for Visual Detection and Exploration of Performance Bottlenecks in Organic Photovoltaic Solar Cell Materials.
Comput. Graph. Forum, 2015
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
2014
Federated Computing for the Masses-Aggregating Resources to Tackle Large-Scale Engineering Problems.
Comput. Sci. Eng., 2014
2011
Computationally efficient solution to the Cahn-Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem.
J. Comput. Phys., 2011
Rapid online quantification of tip-sample interaction for high-speed dynamic-mode atomic force microscope imaging.
Proceedings of the American Control Conference, 2011
2009
A stochastic multiscale framework for modeling flow through random heterogeneous porous media.
J. Comput. Phys., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach.
J. Comput. Phys., 2008
A non-linear dimension reduction methodology for generating data-driven stochastic input models.
J. Comput. Phys., 2008
2007
J. Comput. Phys., 2007
Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method.
J. Comput. Phys., 2007
2006
Modelling dendritic solidification with melt convection using the extended finite element method.
J. Comput. Phys., 2006