World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
41646
World Ranking
2979
National Ranking
1459

Overview

Avinash C. Kak is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple fields, primarily in computer science and engineering, with a strong focus on subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, ocean engineering, and environmental engineering.

The scientist's work covers a range of main topics including:

  • AI in cancer detection
  • Generative Adversarial Networks and Image Synthesis
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Advanced Vision and Imaging

Avinash C. Kak has contributed to numerous papers, reflecting a consistent publication history across reputable venues. Some of the recent papers include:

  • "DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems1" (2021), published in the Journal of X-Ray Science and Technology
  • "Semantic Labeling of Large-Area Geographic Regions Using Multiview and Multidate Satellite Images and Noisy OSM Training Labels" (2021), published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Incorporating Season and Solar Specificity Into Renderings Made by a NeRF Architecture Using Satellite Images" (2024), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images" (2022), published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "A Laplacian Pyramid Based Generative H&E Stain Augmentation Network" (2023), published in IEEE Transactions on Medical Imaging

Publication venues where Avinash C. Kak has frequently appeared include:

  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Electronic Imaging
  • Journal of X-Ray Science and Technology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Collaborations have been consistent, with frequent coauthors including:

  • Zhiqiang Hu
  • Wen Chen
  • Ankit Manerikar
  • Fangda Li
  • Somrita Chattopadhyay

Best Publications

  • Principles of Computerized Tomographic Imaging

    Avinash C. Kak;Malcolm Slaney;Ge Wang

  • Digital Picture Processing

    Azriel Rosenfeld;Avinash C. Kak

  • PCA versus LDA

    A.M. Martinez;A.C. Kak

  • Simultaneous algebraic reconstruction technique (SART): a superior implementation of the art algorithm.

    A. H. Andersen;A. C. Kak

  • Vision for mobile robot navigation: a survey

    G.N. Desouza;A.C. Kak

  • Limitations of Imaging with First-Order Diffraction Tomography

    M. Slaney;A.C. Kak;L.E. Larsen

  • Color-Encoded Structured Light for Rapid Active Ranging

    K. L. Boyer;A. C. Kak

  • ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases

    Chi-Ren Shyu;Carla E. Brodley;Avinash C. Kak;Akio Kosaka

  • A computational study of reconstruction algorithms for diffraction tomography: Interpolation versus filtered-backpropagation

    S. Pan;A. Kak

  • Computerized tomography with X-ray, emission, and ultrasound sources

    A.C. Kak

  • Fast Vision-guided Mobile Robot Navigation Using Model-based Reasoning And Prediction Of Uncertainties

    A. Kosaka;A. Kak

  • Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing

    I. Ohya;A. Kosaka;A. Kak

  • Retrieval from software libraries for bug localization: a comparative study of generic and composite text models

    Shivani Rao;Avinash Kak

  • Unsupervised feature selection applied to content-based retrieval of lung images

    J.G. Dy;C.E. Brodley;A. Kak;L.S. Broderick

  • Planning sensing strategies in a robot work cell with multi-sensor capabilities

    S.A. Hutchinson;R.L. Cromwell;A.C. Kak

  • Structural stereopsis for 3-D vision

    K.L. Boyer;A.C. Kak

  • A robot vision system for recognizing 3D objects in low-order polynomial time

    C.H. Chen;A.C. Kak

  • Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment.

    Alex M Aisen;Lynn S Broderick;Helen Winer-Muram;Carla E Brodley

  • Modeling and calibration of a structured light scanner for 3-D robot vision

    C. Chen;A. Kak

  • Signal Processing of Broadband Pulsed Ultrasound: Measurement of Attenuation of Soft Biological Tissues

    Avinash C. Kak;Kris A. Dines

  • Array signal processing.

    S. Haykin;J. H. Justice;N. L. Owsley;J. L. Yen

Frequent Co-Authors

Carla E. Brodley
Carla E. Brodley Northeastern University
Seth Hutchinson
Seth Hutchinson University of Illinois at Urbana-Champaign
Malcolm Slaney
Malcolm Slaney Stanford University
Jennifer G. Dy
Jennifer G. Dy Northeastern University
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Kim L. Boyer
Kim L. Boyer University at Albany, State University of New York
Aleix M. Martinez
Aleix M. Martinez The Ohio State University
Simon Haykin
Simon Haykin McMaster University
Mostafa Fatemi
Mostafa Fatemi Mayo Clinic
Robert L. Gunshor
Robert L. Gunshor Purdue University West Lafayette

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