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Prabir Bhattacharya

Prabir Bhattacharya

D-Index & Metrics

Computer Science

D-Index
34
Citations
5260
World Ranking
12130
National Ranking
473

Overview

Prabir Bhattacharya is affiliated with Concordia University in Canada, contributing to research primarily within the fields of Computer Science and Biochemistry, Genetics, and Molecular Biology. Their work spans multiple subfields, with significant focus on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Management Information Systems, and Discrete Mathematics and Combinatorics.

The main topics explored in Bhattacharya's research include gene expression and cancer classification, algorithms and data compression, evolutionary algorithms and applications, peer-to-peer network technologies, caching and content delivery, as well as coding theory and cryptography.

Bhattacharya has published research in several venues, with notable contributions appearing in the International Journal of Software Science and Computational Intelligence and arXiv (Cornell University). Key recent papers authored by Bhattacharya are:

  • An Incentive Compatible Mechanism for Replica Placement in Peer-Assisted Content Distribution (2020), International Journal of Software Science and Computational Intelligence
  • Circulant association schemes on triples (2021), arXiv (Cornell University)

Frequent collaborators include Lilybert Machacha, Minzhe Guo, Cheryl E. Praeger, Alexandre Campane Vidal, and Anders Skaarup Johansen. Bhattacharya has coauthored multiple works with these researchers, particularly with Lilybert Machacha who appears as a coauthor on multiple publications.

The research output of Bhattacharya covers a range of scientific topics and methods, integrating approaches from evolutionary algorithms to peer-to-peer networking strategies. The work on cancer classification using genetic algorithms and case-based reasoning reflects a cross-disciplinary intersection between computational intelligence and molecular biology, showing a breadth that links fundamental computer science concepts to applied biomedical data analysis.

Best Publications

  • Some remarks on fuzzy graphs

    Prabir Bhattacharya

  • A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback

    Unknown

  • Fuzzy normal subgroups and fuzzy cosets

    N.P. Mukherjee;Prabir Bhattacharya

  • Palm vein extraction and matching for personal authentication

    Yi-Bo Zhang;Qin Li;Jane You;Prabir Bhattacharya

  • Mechanism Design-Based Secure Leader Election Model for Intrusion Detection in MANET

    Noman Mohammed;Hadi Otrok;Lingyu Wang;Mourad Debbabi

  • A low-cost INS/GPS integration methodology based on random forest regression

    Srujana Adusumilli;Deepak Bhatt;Hong Wang;Prabir Bhattacharya

  • A wavelet-based coarse-to-fine image matching scheme in a parallel virtual machine environment

    J. You;P. Bhattacharya

  • A game-theoretic intrusion detection model for mobile ad hoc networks

    Hadi Otrok;Noman Mohammed;Lingyu Wang;Mourad Debbabi

  • A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS

    Deepak Bhatt;Priyanka Aggarwal;Vijay Devabhaktuni;Prabir Bhattacharya

  • Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion

    Unknown

  • Fuzzy Groups: some group-theoretic analogs

    N P Mukherjee;Prabir Bhattacharya

  • Fuzzy relations and fuzzy groups

    Unknown

  • Towards nonideal iris recognition based on level set method, genetic algorithms and adaptive asymmetrical SVMs

    Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen

  • Advances in Detecting Parkinson's Disease

    Unknown

  • Fuzzy subgroups: Some characterizations

    Prabir Bhattacharya

  • Controller Placement for Improving Resilience of Software-Defined Networks

    Unknown

  • Detection of Facial Feature Points Using Anthropometric Face Model

    Abu Sayeed Md. Sohail;Prabir Bhattacharya

  • Iris recognition with support vector machines

    Kaushik Roy;Prabir Bhattacharya

  • Iris recognition with support vector machines

    Kaushik Roy;Prabir Bhattacharya

  • An enhanced MEMS error modeling approach based on Nu-Support Vector Regression.

    Deepak Bhatt;Priyanka Aggarwal;Prabir Bhattacharya;Vijay Kumar Devabhaktuni

  • Iris segmentation using variational level set method

    Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen

  • An algorithm to compute the supremum of max-min powers and a property of fuzzy graphs

    Prabir Bhattacharya;Francis Suraweera

  • Improving the Prediction Accuracy of Decision Tree Mining with Data Preprocessing

    Unknown

  • A Cooperative Approach for Analyzing Intrusions in Mobile Ad hoc Networks

    H. Otrok;M. Debbabi;C. Assi;P. Bhattacharya

  • Game theoretic models for detecting network intrusions

    Hadi Otrok;Mona Mehrandish;Chadi Assi;Mourad Debbabi

  • Improved image watermarking scheme using fast Hadamard and discrete wavelet transforms

    Emad E. Abdallah;A. Ben Hamza;Prabir Bhattacharya

  • Dempster Shafer neural network algorithm for land vehicle navigation application

    Priyanka Aggarwal;Deepak Bhatt;Vijay Devabhaktuni;Prabir Bhattacharya

  • Video watermarking using wavelet transform and tensor algebra

    Emad E. Abdallah;A. Ben Hamza;Prabir Bhattacharya

Frequent Co-Authors

Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Jane You
Jane You Hong Kong Polytechnic University
Chadi Assi
Chadi Assi Concordia University
Mourad Debbabi
Mourad Debbabi Concordia University
Ching Y. Suen
Ching Y. Suen Concordia University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University

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