Baskar Ganapathysubramanian

According to our database1, Baskar Ganapathysubramanian authored at least 33 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Parallel-In-Space-Time, Adaptive Finite Element Framework for Nonlinear Parabolic Equations.
SIAM J. Scientific Computing, 2018

A Novel Multirobot System for Plant Phenotyping.
Robotics, 2018

Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
PLoS Computational Biology, 2018

A deep learning framework for causal shape transformation.
Neural Networks, 2018

A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty.
CoRR, 2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning.
CoRR, 2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures.
CoRR, 2018

Interpretable deep learning for guided structure-property explorations in photovoltaics.
CoRR, 2018

PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization.
CoRR, 2018

Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions.
CoRR, 2018

Predicting County Level Corn Yields Using Deep Long Short Term Memory Models.
CoRR, 2018

Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps.
CoRR, 2018

Big Data and Parkinson's Disease: Exploration, Analyses, and Data Challenges.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions.
Proceedings of the 2018 Annual American Control Conference, 2018

A finite element approach to self-consistent field theory calculations of multiblock polymers.
J. Comput. Physics, 2017

Interpretable Deep Learning applied to Plant Stress Phenotyping.
CoRR, 2017

Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean.
CoRR, 2017

Deep Action Sequence Learning for Causal Shape Transformation.
CoRR, 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

Parallel Framework for Dimensionality Reduction of Large-Scale Datasets.
Scientific Programming, 2015

A Novel Framework for Visual Detection and Exploration of Performance Bottlenecks in Organic Photovoltaic Solar Cell Materials.
Comput. Graph. Forum, 2015

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Federated Computing for the Masses-Aggregating Resources to Tackle Large-Scale Engineering Problems.
Computing in Science and Engineering, 2014

Computationally efficient solution to the Cahn-Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem.
J. Comput. Physics, 2011

A stochastic multiscale framework for modeling flow through random heterogeneous porous media.
J. Comput. Physics, 2009

Transfer operator method for control in fluid flows.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach.
J. Comput. Physics, 2008

A non-linear dimension reduction methodology for generating data-driven stochastic input models.
J. Comput. Physics, 2008

Sparse grid collocation schemes for stochastic natural convection problems.
J. Comput. Physics, 2007

Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method.
J. Comput. Physics, 2007

Modelling dendritic solidification with melt convection using the extended finite element method.
J. Comput. Physics, 2006