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Dhruba K. Bhattacharyya

Dhruba K. Bhattacharyya

D-Index & Metrics

Computer Science

D-Index
39
Citations
8182
World Ranking
9619
National Ranking
102

Overview

Dhruba K. Bhattacharyya is affiliated with Tezpur University in India and has an extensive research portfolio predominantly in the fields of Computer Science and Biochemistry, Genetics, and Molecular Biology. Their work spans multiple interdisciplinary areas, reflecting significant contributions to molecular biology and artificial intelligence applications in bioinformatics and related domains.

Their research prominently covers topics such as gene expression and cancer classification, bioinformatics and genomic networks, and machine learning and data classification. Additional focus areas include RNA modifications and cancer, network security and intrusion detection, cancer-related molecular mechanisms, and esophageal cancer research and treatment.

Frequent publication venues for Bhattacharyya's research include:

  • Computers in Biology and Medicine
  • Journal of Biosciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • International Journal of Data Mining and Bioinformatics
  • Security and Privacy

Recent papers authored with various collaborators illustrate the diverse applications of deep learning, bioinformatics, and computational biology in healthcare and security contexts. Selected publications include:

  • "Botnet-based IoT network traffic analysis using deep learning" (2023, Security and Privacy)
  • "DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning" (2022, BMC Bioinformatics)
  • "Multiview EEG signal analysis for diagnosis of schizophrenia: an optimized deep learning approach" (2024, Multimedia Tools and Applications)
  • "Machine/deep learning techniques for disease and nutrient deficiency disorder diagnosis in rice crops: A systematic review" (2024, Biosystems Engineering)
  • "Determining crucial genes associated with COVID-19 based on COPD Findings" (2020, Computers in Biology and Medicine)

Bhattacharyya collaborates regularly with a network of researchers, with frequent co-authors including Jugal Kalita, Swarup Roy, Bikash Baruah, Manash Pratim Dutta, and Pankaj Barah. These collaborations reflect a strong team-based approach to tackling complex challenges in data mining, machine learning, and bioinformatics.

Their subfields of study demonstrate a focus on both foundational and applied aspects of computational and biological sciences, covering molecular biology, artificial intelligence, computer vision and pattern recognition, computer networks and communications, and information systems.

Best Publications

  • Network Anomaly Detection: Methods, Systems and Tools

    Monowar H. Bhuyan;D. K. Bhattacharyya;J. K. Kalita

  • MIFS-ND: A mutual information-based feature selection method

    Nazrul Hoque;D. K. Bhattacharyya;Jugal K. Kalita

  • Botnet in DDoS Attacks: Trends and Challenges

    Nazrul Hoque;Dhruba K. Bhattacharyya;Jugal K. Kalita

  • A Survey of Outlier Detection Methods in Network Anomaly Identification

    Prasanta Gogoi;D.K. Bhattacharyya;B. Borah;Jugal K. Kalita

  • An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection

    Monowar H. Bhuyan;D. K. Bhattacharyya;Jugal K. Kalita

  • Detecting Distributed Denial of Service Attacks: Methods, Tools and Future Directions

    Monowar H. Bhuyan;Hirak Jyoti Kashyap;Dhruba Kumar Bhattacharyya;Jugal K. Kalita

  • An improved sampling-based DBSCAN for large spatial databases

    B. Borah;D.K. Bhattacharyya

  • Network Anomaly Detection: A Machine Learning Perspective

    Dhruba Kumar Bhattacharyya;Jugal Kumar Kalita

  • Surveying Port Scans and Their Detection Methodologies

    Monowar H. Bhuyan;D.K. Bhattacharyya;J.K. Kalita

  • Network attacks

    N. Hoque;Monowar H. Bhuyan;R.C. Baishya;D.K. Bhattacharyya

  • Packet and Flow Based Network Intrusion Dataset

    Prasanta Gogoi;Monowar H. Bhuyan;D. K. Bhattacharyya;Jugal K. Kalita

  • Towards Generating Real-life Datasets for Network Intrusion Detection.

    Monowar H. Bhuyan;Dhruba K. Bhattacharyya;Jugal K. Kalita

  • Hyperspectral Remote Sensing Classifications: A Perspective Survey

    Dibyajyoti Chutia;D. K. Bhattacharyya;Kandarpa Kumar Sarma;Ranjan Kalita

  • A multi-step outlier-based anomaly detection approach to network-wide traffic

    Monowar H. Bhuyan;D. K. Bhattacharyya;Jugal K. Kalita

  • Real-time DDoS attack detection using FPGA

    N. Hoque;H. Kashyap;D.K. Bhattacharyya

  • EFS-MI: an ensemble feature selection method for classification

    Nazrul Hoque;Mihir Singh;Dhruba K. Bhattacharyya

  • Reconstruction of gene co-expression network from microarray data using local expression patterns

    Swarup Roy;Dhruba K Bhattacharyya;Jugal K Kalita

  • Big Data Analytics in Bioinformatics: A Machine Learning Perspective.

    Hirak J. Kashyap;Hasin Afzal Ahmed;Nazrul Hoque;Swarup Roy

  • MLH-IDS: A Multi-Level Hybrid Intrusion Detection Method

    Prasanta Gogoi;D. K. Bhattacharyya;Bhogeswar Borah;Jugal K. Kalita

  • An approach to find embedded clusters using density based techniques

    S. Roy;D. K. Bhattacharyya

Frequent Co-Authors

Jugal Kalita
Jugal Kalita University of Colorado Colorado Springs
Ashish Ghosh
Ashish Ghosh Indian Statistical Institute
Mohit Kumar Jolly
Mohit Kumar Jolly Indian Institute of Science
Erik Elmroth
Erik Elmroth Umeå University
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
Sushmita Mitra
Sushmita Mitra Indian Statistical Institute

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