Assistant Professor

Dr Prasun Dutta

Department of Computer Science and Engineering

Interests

  1. Deep Learning Architecture Design
  2. LLMs/LVMs/LMMs for NLP/CV/Multi-modal Tasks
  3. Artificial Intelligence/Machine Learning in Healthcare Data Analysis

Education

2006

University of Calcutta,
India
BSc Mathematics

2009

West Bengal University of Technology (WBUT),
India
MCA

2012

West Bengal University of Technology (WBUT),
India
ME (CSE)

2025

Indian Statistical Institute (ISI),
Kolkata,
Ph.D.

Experience

  • August 2024 to April 2025 – Project Scientist – Machine Intelligence Unit, ISI, Kolkata, India
  • August 2023 to July 2024 – Data Scientist – Institute of Data Engineering, Analytics and Science Foundation, Kolkata, India
  • January 2023 to June 2023 – Research Scientist II Intern – Amazon, Bengaluru, India
  • August 2012 to July 2017 – Assistant Professor, School of Computer Science – National Institute of Science and Technology (NIST), Berhampur, Odisha, India
  • September 2010 to June 2012 – Visiting Lecturer – Swami Vivekananda Group of Institutes, Kolkata, India
  • November 2009 to June 2012 – Visiting Lecturer – Techno India Institute of Technology (TIIT), Kolkata, India

Research Interests

    • Developing novel Deep Learning architecture and learning strategy inspired by human traits of learning
    • Unifying vision language-based LLM models to automate the solution of different multi-modal problems
    • Designing an Agentic AI System for Healthcare Data Analysis

Awards & Fellowships

  • 2019 - 2023 – Senior Research Fellowship – ISI, Kolkata
  • 2017 - 2019 – Junior Research Fellowship – ISI, Kolkata
  • 2013 – Qualified UGC-NET (LS) in Computer Science & Applications – UGC
  • 2012 – Qualified GATE in Computer Science & Information Technology (97.55 percentile)
  • 2012 – Gold Medalist in ME (CSE) – WBUT, Kolkata
  • 2010 - 2012 – GATE Fellowship – MHRD, GOI
  • 2010 – Qualified GATE in Computer Science & Information Technology (91.61 percentile)
  • 2009 – Gold Medalist in MCA – WBUT, Kolkata
  • 2009 – Sun Certified Programmer for JAVA Platform (SCJP) – Sun Microsystems

Memberships

  • IEEE Graduate Student Member, Member No. – 96667674, 2020 – 2024
  • Life Member of Computer Society of India (CSI), LM No. – l1505331, 2019
  • Life Member of The Indian Science Congress Association (ISCA), LM No. – L35239, 2018
  • Life Member of The Indian Society for Technical Education (ISTE), LM No. – LM93560, 2013

List of Publications

SCI Journals:

  • Prasun Dutta, Rajat K. De, DN3MF: Deep Neural Network for Non-negative Matrix Factor ization towards Low Rank Approximation, Pattern Analysis and Applications (2024), Volume 27(112), (pp. 1–23), Springer. [IF 3.7 (2023)]. DOI:10.1007/s10044-024-01335-3.
  • Prasun Dutta, Rajat K. De, MDSR-NMF: Multiple Deconstruction Single Reconstruction Deep Neural Network Model for Non-negative Matrix Factorization, Network: Computation in Neural Systems (2023), Volume 34(4), (pp. 306–342), Taylor & Francis. [IF 1.1 (2023)]. DOI: 10.1080/0954898X.2023.2257773.

Preprints:

  • Prasun Dutta, Koustab Ghosh, Rajat K. De, Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture, arXiv preprint, arXiv:2502.20113 (2025).
  • Prasun Dutta, Rajat K. De, Input Guided Multiple Deconstruction Single Reconstruction neural network models for Matrix Factorization, arXiv preprint, arXiv:2405.13449 (2024).

International Conferences:

  • Prasun Dutta, Rajat K. De, n2MFn2: Non-negative Matrix Factorization in a single Decon struction single Reconstruction Neural Network Framework for Dimensionality Reduction, Proceedings of Fourth International Conference on High Performance Big Data and Intelligent Systems (2022), Tianjin, China, (pp. 79-84), IEEE. DOI: 10.1109/HDIS56859.2022.9991646.
  • Prasun Dutta, Rajat K. De, A Neural Network Model for Matrix Factorization: Dimension ality Reduction, Proceedings of Ninth IEEE Asia-Pacific Conference on Computer Science and Data Engineering (2022), Gold Coast, Australia, (pp. 1-6), IEEE. DOI: 10.1109/CSDE56538.2022.10089284.
  • Prasun Dutta, Pratik Pattnaik, Rajesh Kumar Sahu, Brushing — An Algorithm for Data Deduplication, Proceedings of Third International Conference on Information Systems Design and Intelligent Applications (2016), Visakhapatnam, India, Volume 433 (pp. 227-234), AISC, Springer. DOI: 10.1007/978-81-322-2755-7 23.
  • Prasun Dutta, Rituparna Chaki, A Survey of Data Mining Applications in Water Quality Management, Proceedings of CUBE International Information Technology Conference (2012), Pune, India, (pp. 470-475), ACM. DOI: 10.1145/2381716.2381805.

Posters:

  • Prasun Dutta, Anubhav Shrimal, Anish Nediyanchath, Promod Yenigalla, AuditLLM: Find and Fix Catalog Defects at Scale, Amazon Computer Vision Conference 2023 (ACVC2023).

Contact Details

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