World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7941
World Ranking
9635
National Ranking
4082

Overview

Ashok Samal is affiliated with the University of Nebraska-Lincoln in the United States. Their research spans across multiple fields, mainly in Agricultural and Biological Sciences and Computer Science. Within these domains, the focus areas include Plant Science, Ecology, Signal Processing, Environmental Engineering, and Cognitive Neuroscience.

The scientist's work concentrates on Smart Agriculture and AI, Remote Sensing in Agriculture, Leaf Properties and Growth Measurement, Neural Networks and Applications, Neural Dynamics and Brain Function, Data Management and Algorithms, and Remote Sensing and LiDAR Applications.

Ashok Samal has collaborated frequently with several researchers, including Sruti Das Choudhury, Tala Awada, Rubi Quiñones, Francisco Muñoz-Arriola, and Jacob Williams.

Their recent scholarly output includes papers such as:

  • Comparative evaluation of machine learning models for groundwater quality assessment (2020), published in Environmental Monitoring and Assessment
  • Leveraging Image Analysis to Compute 3D Plant Phenotypes Based on Voxel-Grid Plant Reconstruction (2020), published in Frontiers in Plant Science
  • Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping (2021), published in PLoS ONE
  • FlowerPhenoNet: Automated Flower Detection from Multi-View Image Sequences Using Deep Neural Networks for Temporal Plant Phenotyping Analysis (2022), published in Remote Sensing
  • Drought stress prediction and propagation using time series modeling on multimodal plant image sequences (2023), published in Frontiers in Plant Science

Key venues that have published their work multiple times include Frontiers in Plant Science, Zenodo (CERN European Organization for Nuclear Research), Remote Sensing, GeoInformatica, and ACM Transactions on Spatial Algorithms and Systems.

Best Publications

  • Automatic recognition and analysis of human faces and facial expressions: a survey

    Ashok Samal;Prasana A. Iyengar

  • Plant species identification using Elliptic Fourier leaf shape analysis

    João Camargo Neto;George E. Meyer;David D. Jones;Ashok K. Samal

  • Distributed group key management scheme for secure many-to-many communication

    Lakshminath R. Dondeti;Sarit Mukherjee;Ashok Samal

  • Visible/near-infrared hyperspectral imaging for beef tenderness prediction

    Govindarajan Konda Naganathan;Lauren M. Grimes;Jeyamkondan Subbiah;Chris R. Calkins

  • HGA: A Hardware-Based Genetic Algorithm

    Stephen D. Scott;Ashok Samal;Shared Seth

  • A feature-based approach to conflation of geospatial sources

    Ashok Samal;Sharad C. Seth;Kevin Cueto

  • Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios

    Kendra Schmid;David Marx;Ashok Samal

  • A simple method for fitting of bounding rectangle to closed regions

    D. Chaudhuri;A. Samal

  • Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Techniques

    D. Chaudhuri;N. K. Kushwaha;A. Samal

  • How effective are landmarks and their geometry for face recognition

    J. Shi;A. Samal;D. Marx

  • Dual encryption protocol for scalable secure group communication

    Lakshminath R. Dondeti;Sarit Mukherjee;Ashok Samal

  • Trend Analysis of Streamflow Drought Events in Nebraska

    Hong Wu;Leen-Kiat Soh;Ashok K Samal;Xun Hong Chen

  • Scalable secure one-to-many group communication using dual encryption

    L. R. Dondeti;S. Mukherjee;A. Samal

  • Comparative evaluation of machine learning models for groundwater quality assessment.

    Shine Bedi;Ashok Samal;Chittaranjan Ray;Daniel Snow

  • Optical scattering in beef steak to predict tenderness using hyperspectral imaging in the VIS-NIR region

    Kim Cluff;Govindarajan Konda Naganathan;Jeyamkondan Subbiah;Renfu Lu

  • A system for recognizing a large class of engineering drawings

    Yuhong Yu;A. Samal;S.C. Seth

  • An Automatic Bridge Detection Technique for Multispectral Images

    D. Chaudhuri;A. Samal

  • A dual encryption protocol for scalable secure multicasting

    L.R. Dondeti;S. Mukherjee;A. Samal

  • Partial least squares analysis of near-infrared hyperspectral images for beef tenderness prediction

    Govindarajan Konda Naganathan;Lauren M. Grimes;Jeyamkondan Subbiah;Chris R. Calkins

  • Automatic Building Detection From High-Resolution Satellite Images Based on Morphology and Internal Gray Variance

    D. Chaudhuri;N. K. Kushwaha;A. Samal;R. C. Agarwal

Frequent Co-Authors

Chris R. Calkins
Chris R. Calkins University of Nebraska–Lincoln
Scott Lyell Gardner
Scott Lyell Gardner University of Nebraska–Lincoln
George Nagy
George Nagy Rensselaer Polytechnic Institute
Frank Rudzicz
Frank Rudzicz University of Toronto
Gui-Song Xia
Gui-Song Xia Wuhan University
Shannon L. Bartelt-Hunt
Shannon L. Bartelt-Hunt University of Nebraska–Lincoln
Michael J. Hayes
Michael J. Hayes University of Nebraska–Lincoln
Daniel D. Snow
Daniel D. Snow University of Nebraska–Lincoln
Brian H. Bornstein
Brian H. Bornstein Arizona State University
Adam T. Clare
Adam T. Clare University of Nottingham

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