World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5194
World Ranking
11709
National Ranking
4795

Overview

Kaushik Roy is affiliated with Purdue University West Lafayette in the United States and has a significant body of work primarily in computer science. Their research spans several interconnected subfields, with a notable focus on computer vision and pattern recognition, artificial intelligence, signal processing, media technology, and information systems.

The researcher has authored numerous papers published in various academic venues. Some recent papers include:

  • Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays (2020), Applied Intelligence
  • Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks (2020), Information
  • Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays (2021), Cognitive Computation
  • Text categorization: past and present (2020), Artificial Intelligence Review
  • An Investigation of Biometric Authentication in the Healthcare Environment (2020), Array

Kaushik Roy collaborates frequently with a number of coauthors, including Sk Md Obaidullah, Himadri Mukherjee, Ankita Dhar, KC Santosh, and Mridul Ghosh. Collaboration counts reflect extensive joint research efforts, with coauthor counts ranging from over 20 to more than 50 publications together.

Their research contributions have appeared repeatedly in well-known venues such as arXiv (Cornell University), Multimedia Tools and Applications, Journal of Marine Medical Society, Future Internet, and the 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

The main topics addressed in their work cover diverse areas, highlighting a multidisciplinary approach to computer science and related technologies. Key topics include:

  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Music and Audio Processing
  • Advanced Malware Detection Techniques
  • Biometric Identification and Security
  • Face recognition and analysis
  • Network Security and Intrusion Detection

These focal areas correspond closely with Kaushik Roy's specialization in subfields such as computer vision, artificial intelligence, and signal processing, which are foundational to their research on recognition systems, security, and multimedia processing.

Overall, Kaushik Roy's research portfolio reflects a sustained concentration on applying advanced machine learning techniques to practical problems in healthcare diagnostics, security, and multimedia analysis, evidenced by multiple publications spanning recent years.

Best Publications

  • Algorithm-based fault tolerance on a hypercube multiprocessor

    P. Banerjee;J.T. Rahmeh;C. Stunkel;V.S. Nair

  • Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

    Himadri Mukherjee;Subhankar Ghosh;Ankita Dhar;Sk Md Obaidullah

  • LSTM for Anomaly-Based Network Intrusion Detection

    Sara A. Althubiti;Eric Marcell Jones;Kaushik Roy

  • Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

    Pramita Sree Muhuri;Prosenjit Chatterjee;Xiaohong Yuan;Kaushik Roy

  • Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays.

    Himadri Mukherjee;Subhankar Ghosh;Ankita Dhar;Sk Md Obaidullah

  • PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identification

    Sk Md Obaidullah;Chayan Halder;K. C. Santosh;Nibaran Das

  • Text categorization: past and present

    Ankita Dhar;Himadri Mukherjee;Niladri Sekhar Dash;Kaushik Roy

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

    Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen

  • Oriya handwritten numeral recognition system

    K. Roy;T. Pal;U. Pal;F. Kimura

  • Comparison of machine learning and deep learning models for network intrusion detection systems

    Niraj Thapa;Zhipeng Liu;Dukka B. Kc;Balakrishna Gokaraju

  • A system towards Indian postal automation

    K. Roy;S. Vajda;U. Pal;B.B. Chaudhuri

  • Anomaly Detection on IoT Network Intrusion Using Machine Learning

    Zhipeng Liu;Niraj Thapa;Addison Shaver;Kaushik Roy

  • Iris segmentation using variational level set method

    Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen

  • The k-Nearest Neighbor Algorithm Using MapReduce Paradigm

    Prajesh P. Anchalia;Kaushik Roy

  • A system for Indian postal automation

    K. Roy;S. Vajda;U. Pal;B.B. Chaudhuri

  • Biological Activity of Carotenoids: Its Implications in Cancer Risk and Prevention

    Mary Chatterjee;Kaushik Roy;M. Janarthan;Subhadeep Das

  • Automatic Lung Health Screening Using Respiratory Sounds

    Himadri Mukherjee;Priyanka Sreerama;Ankita Dhar;Sk Md Obaidullah

  • ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing.

    Gopalakrishnan Srinivasan;Kaushik Roy

  • A system for word-wise handwritten script identification for Indian postal automation

    K. Roy;A. Banerjee;U. Pal

  • A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches

    Ali Alwehaibi;Marwan Bikdash;Mohammad Albogmi;Kaushik Roy

  • Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal

    Himadri Mukherjee;Sk. Md. Obaidullah;K. C. Santosh;Santanu Phadikar

  • AUTOMATION OF INDIAN POSTAL DOCUMENTS WRITTEN IN BANGLA AND ENGLISH

    Szilárd Vajda;Kaushik Roy;Umapada Pal;Bidyut B Chaudhuri

  • A lazy learning-based language identification from speech using MFCC-2 features

    Himadri Mukherjee;Sk Md Obaidullah;K. C. Santosh;Santanu Phadikar

  • Automatic Indic script identification from handwritten documents: page, block, line and word-level approach

    Sk Md Obaidullah;K. C. Santosh;Chayan Halder;Nibaran Das

  • Improved word-level handwritten Indic script identification by integrating small convolutional neural networks

    Soumya Ukil;Swarnendu Ghosh;Sk Md Obaidullah;K. C. Santosh

  • Script identification from printed indian document images and performance evaluation using different classifiers

    Sk Md Obaidullah;Anamika Mondal;Nibaran Das;Kaushik Roy

Frequent Co-Authors

Nibaran Das
Nibaran Das Jadavpur University
Umapada Pal
Umapada Pal Indian Statistical Institute
Ram Sarkar
Ram Sarkar Jadavpur University
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
David Doermann
David Doermann University at Buffalo, State University of New York
Mita Nasipuri
Mita Nasipuri Jadavpur University
Xiao-Zhi Gao
Xiao-Zhi Gao University of Eastern Finland
Rajat Subhra Chakraborty
Rajat Subhra Chakraborty Indian Institute of Technology Kharagpur
Mufti Mahmud
Mufti Mahmud Nottingham Trent University

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