World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13642
World Ranking
4048
National Ranking
1926

Overview

Sudeep Sarkar is affiliated with the University of South Florida in the United States and specializes in computer science, particularly within subfields such as computer vision and pattern recognition, artificial intelligence, atomic and molecular physics, and optics, as well as control and systems engineering and signal processing.

The scientist's research covers a range of topics focused largely on image and video analysis, with a strong emphasis on anomaly detection techniques, advanced image and video retrieval methods, video surveillance and tracking, multimodal machine learning, human pose and action recognition, domain adaptation, few-shot learning, and advanced vision and imaging.

Recent notable publications include:

  • "A systematic literature review on object detection using near infrared and thermal images," 2023, Neurocomputing
  • "An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption," 2023, IEEE Transactions on Intelligent Vehicles
  • "Shifting cultivation induced burn area dynamics using ensemble approach in Northeast India," 2021, Trees Forests and People
  • "Increasing Importance of Joint Analysis of Audio and Video in Computer Vision: A Survey," 2024, IEEE Access
  • "Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference using Pattern Theory," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Sarkar frequently collaborates with several researchers, including Ramy Mounir, Sathyanarayanan N. Aakur, Roman Gula, Redwan Alqasemi, and Jörn Theuerkauf.

The scientist regularly publishes in venues such as arXiv (Cornell University), IEEE Access, International Journal of Computer Vision, SSRN Electronic Journal, and The Indian Journal of Medical Research.

Best Publications

  • The humanID gait challenge problem: data sets, performance, and analysis

    S. Sarkar;P.J. Phillips;Z. Liu;I.R. Vega

  • Comparison and combination of ear and face images in appearance-based biometrics

    Kyong Chang;K.W. Bowyer;S. Sarkar;B. Victor

  • A robust visual method for assessing the relative performance of edge-detection algorithms

    M.D. Heath;S. Sarkar;T. Sanocki;K.W. Bowyer

  • Comparison of edge detectors: a methodology and initial study

    M. Heath;S. Sarkar;T. Sanocki;K. Bowyer

  • Comparison of Edge Detectors

    Mike Heath;Sudeep Sarkar;Thomas Sanocki;Kevin Bowyer

  • Improved gait recognition by gait dynamics normalization

    Zongyi Liu;S. Sarkar

  • Simplest representation yet for gait recognition: averaged silhouette

    Zongyi Liu;S. Sarkar

  • Quantitative measures of change based on feature organization: eigenvalues and eigenvectors

    S. Sarkar;K.L. Boyer

  • The gait identification challenge problem: data sets and baseline algorithm

    P.J. Phillips;S. Sarkar;I. Robledo;P. Grother

  • QCAPro - An error-power estimation tool for QCA circuit design

    Saket Srivastava;Arjun Asthana;Sanjukta Bhanja;Sudeep Sarkar

  • An evaluation of face and ear biometrics

    B. Victor;K. Bowyer;S. Sarkar

  • Supervised learning of large perceptual organization: graph spectral partitioning and learning automata

    S. Sarkar;P. Soundararajan

  • Perceptual organization in computer vision: a review and a proposal for a classificatory structure

    S. Sarkar;K.L. Boyer

  • Macro- and micro-expression spotting in long videos using spatio-temporal strain

    Matthew Shreve;Sridhar Godavarthy;Dmitry Goldgof;Sudeep Sarkar

  • Estimation of Upper Bound of Power Dissipation in QCA Circuits

    S. Srivastava;S. Sarkar;S. Bhanja

  • On optimal infinite impulse response edge detection filters

    S. Sarkar;K.L. Boyer

  • Integration, inference, and management of spatial information using Bayesian networks: perceptual organization

    S. Sarkar;K.L. Boyer

  • Baseline results for the challenge problem of HumanID using gait analysis

    P.J. Phillips;S. Sarkar;I. Robledo;P. Grother

  • Handling Movement Epenthesis and Hand Segmentation Ambiguities in Continuous Sign Language Recognition Using Nested Dynamic Programming

    R. Yang;S. Sarkar;B. Loeding

  • Quantitative Measures of Change Based on Feature Organization

    Sudeep Sarkar;Kim L. Boyer

Frequent Co-Authors

Dmitry B. Goldgof
Dmitry B. Goldgof University of South Florida
Kim L. Boyer
Kim L. Boyer University at Albany, State University of New York
Rangachar Kasturi
Rangachar Kasturi University of South Florida
Kevin W. Bowyer
Kevin W. Bowyer University of Notre Dame
Anuj Srivastava
Anuj Srivastava Florida State University
Patrick J. Grother
Patrick J. Grother National Institute of Standards and Technology
Hazim Kemal Ekenel
Hazim Kemal Ekenel Istanbul Technical University
Miguel A. Labrador
Miguel A. Labrador University of South Florida
Lawrence O. Hall
Lawrence O. Hall University of South Florida
Timothy D. Sands
Timothy D. Sands Virginia Tech

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying computer science opens the door to a wide range of online degree options and fulfilling career pathways. More students are looking for most affordable online colleges that offer flexible schedules and accessible tuition. In addition, those concerned about academic performance may want to explore will grad schools accept low gpa to better understand their options if GPA is a barrier.

For those eager to finish their studies faster, computer science accelerated program choices can help you enter the workforce sooner. Beyond core tech roles, computer science graduates also find rewarding work in fields like sustainability and environmental technology. If you’re wondering about similar interdisciplinary opportunities, check out what can you do with an environmental studies degree to explore additional career paths that blend science and impact.

No matter your background or schedule, there are online computer science programs to fit your goals and set you on the path to a dynamic, future-proof career.

Best Scientists Citing Sudeep Sarkar

Trending Scientists

Recently Published Articles