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Baskar Ganapathysubramanian

Baskar Ganapathysubramanian

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
10975
World Ranking
4498
National Ranking
1290

Overview

Baskar Ganapathysubramanian is affiliated with Iowa State University in the United States and has a research focus spanning engineering and agricultural and biological sciences. Their scholarly output includes 169 publications in engineering and 112 in agricultural and biological sciences. Within these broader areas, key subfields of study include plant science, computational mechanics, materials chemistry, ecology, and electrical and electronic engineering.

The scientist's research topics cover a variety of contemporary scientific challenges, primarily centered on agriculture and computational methods. Notable themes in their work include smart agriculture and artificial intelligence, remote sensing in agriculture, soybean genetics and cultivation, advanced numerical methods in computational mathematics, machine learning in materials science, lattice Boltzmann simulation studies, and spectroscopy and chemometric analyses.

Frequent collaborators in their research include Adarsh Krishnamurthy, Soumik Sarkar, Talukder Z. Jubery, Aditya Balu, and Asheesh K. Singh, reflecting substantial interdisciplinary and team-based research efforts.

Their recent publications illustrate diverse methodological approaches and applications:

  • "Nanoscale control of internal inhomogeneity enhances water transport in desalination membranes," 2020, Science
  • "Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping," 2020, Trends in Plant Science
  • "Crop yield prediction integrating genotype and weather variables using deep learning," 2021, PLoS ONE
  • "Computer vision and machine learning enabled soybean root phenotyping pipeline," 2020, Plant Methods
  • "UAS-Based Plant Phenotyping for Research and Breeding Applications," 2021, Plant Phenomics

Their research has been published across multiple venues, with high productivity in arXiv (Cornell University), SSRN Electronic Journal, Zenodo (CERN European Organization for Nuclear Research), The Plant Phenome Journal, and Plant Phenomics.

Best Publications

  • Machine Learning for High-Throughput Stress Phenotyping in Plants

    Arti Singh;Baskar Ganapathysubramanian;Asheesh Kumar Singh;Soumik Sarkar

  • Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.

    Asheesh Kumar Singh;Baskar Ganapathysubramanian;Soumik Sarkar;Arti Singh

  • An explainable deep machine vision framework for plant stress phenotyping.

    Sambuddha Ghosal;David Blystone;Asheesh K. Singh;Baskar Ganapathysubramanian

  • Sparse grid collocation schemes for stochastic natural convection problems

    Baskar Ganapathysubramanian;Nicholas Zabaras

  • Plant disease identification using explainable 3D deep learning on hyperspectral images

    Koushik Nagasubramanian;Sarah Jones;Asheesh K. Singh;Soumik Sarkar

  • Nanoscale control of internal inhomogeneity enhances water transport in desalination membranes

    Tyler E. Culp;Biswajit Khara;Kaitlyn P. Brickey;Michael Geitner

  • A real-time phenotyping framework using machine learning for plant stress severity rating in soybean.

    Hsiang Sing Naik;Jiaoping Zhang;Alec Lofquist;Teshale Assefa

  • Engineering fluid flow using sequenced microstructures

    Hamed Amini;Elodie Sollier;Elodie Sollier;Mahdokht Masaeli;Mahdokht Masaeli;Yu Xie

  • Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping.

    Arti Singh;Sarah Jones;Baskar Ganapathysubramanian;Soumik Sarkar

  • A weakly supervised deep learning framework for sorghum head detection and counting

    Sambuddha Ghosal;Bangyou Zheng;Scott C. Chapman;Scott C. Chapman;Andries B. Potgieter

  • Computationally efficient solution to the Cahn-Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem

    Olga Wodo;Baskar Ganapathysubramanian

  • Genome-wide association analysis of seedling root development in maize (Zea mays L.)

    Jordon Pace;Candice Gardner;Cinta Romay;Baskar Ganapathysubramanian

  • Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

    Johnathon Shook;Tryambak Gangopadhyay;Linjiang Wu;Baskar Ganapathysubramanian

  • Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

    Koushik Nagasubramanian;Sarah Jones;Soumik Sarkar;Asheesh K. Singh

  • Enhanced charge separation in organic photovoltaic films doped with ferroelectric dipoles

    Kanwar S. Nalwa;John A. Carr;Rakesh C. Mahadevapuram;Hari K. Kodali

  • Modeling diffusion in random heterogeneous media : Data-driven models, stochastic collocation and the variational multiscale method

    Baskar Ganapathysubramanian;Nicholas Zabaras

  • Modeling morphology evolution during solvent-based fabrication of organic solar cells

    Olga Wodo;Baskar Ganapathysubramanian

  • Analysis of maize (Zea mays L.) seedling roots with the high-throughput image analysis tool ARIA (Automatic Root Image Analysis).

    Jordon Pace;Nigel Lee;Hsiang Sing Naik;Baskar Ganapathysubramanian

  • Vertical Phase Separation in Small Molecule:Polymer Blend Organic Thin Film Transistors Can Be Dynamically Controlled

    Kui Zhao;Olga Wodo;Olga Wodo;Dingding Ren;Hadayat Ullah Khan

  • Computer vision and machine learning enabled soybean root phenotyping pipeline

    Kevin G. Falk;Talukder Z. Jubery;Seyed V. Mirnezami;Kyle A. Parmley

  • A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach

    N. Zabaras;B. Ganapathysubramanian

Frequent Co-Authors

Soumik Sarkar
Soumik Sarkar Iowa State University
Dino Di Carlo
Dino Di Carlo University of California, Los Angeles
Nicholas Zabaras
Nicholas Zabaras University of Notre Dame
Patrick S. Schnable
Patrick S. Schnable Iowa State University
Ming-Chen Hsu
Ming-Chen Hsu Iowa State University
Krishna Rajan
Krishna Rajan University at Buffalo, State University of New York
Minsu Cho
Minsu Cho Pohang University of Science and Technology
Thomas Lübberstedt
Thomas Lübberstedt Iowa State University
Adam J. Moulé
Adam J. Moulé University of California, Davis
Venkat Ganesan
Venkat Ganesan The University of Texas at Austin

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