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Rahul Raj M

Assistant Professor (OC), Department of Computer Science and Engineering, School of Computing, Chennai

Qualification: B. Tech., M.Tech.
m_rahulraj@ch.amrita.edu
Research Interest: Natural Language Processing, Machine Learning, Text Summarization, Multilingual & Low-Resource Languages, Deep Learning, Transformer-based Models

Bio

Rahul Raj M is a research-focused doctoral scholar in Computer Science at the College of Engineering Trivandrum (CET), specializing in Natural Language Processing (NLP). His work focuses on developing effective machine learning and deep learning–based summarization techniques for Malayalam and other low-resource languages. With strong academic credentials, teaching experience, and publications in reputed journals and conferences, he is committed to advancing language technologies and computer science education.

Publications

Journal Article

Year : 2024

Social-sum-Mal: A Dataset for Abstractive Text Summarization in Malayalam

Cite this Research Publication : Rahul Raj M, Dhanya S Pankaj, Social-sum-Mal: A Dataset for Abstractive Text Summarization in Malayalam, ACM Transactions on Asian and Low-Resource Language Information Processing, Association for Computing Machinery (ACM), 2024, https://doi.org/10.1145/3696107

Publisher : Association for Computing Machinery (ACM)

Year : 2020

A novel extractive text summarization system with self-organizing map clustering and entity recognition

Cite this Research Publication : M RAHUL RAJ, ROSNA P HAROON, N V SOBHANA, A novel extractive text summarization system with self-organizing map clustering and entity recognition, Sādhanā, Springer Science and Business Media LLC, 2020, https://doi.org/10.1007/s12046-019-1248-0

Publisher : Springer Science and Business Media LLC

Year : 2018

Analysis of Computational Gene Prioritization Approaches

Cite this Research Publication : M. Rahul Raj, A. Sreeja, Analysis of Computational Gene Prioritization Approaches, Procedia Computer Science, Elsevier BV, 2018, https://doi.org/10.1016/j.procs.2018.10.411

Publisher : Elsevier BV

Conference Paper

Year : 2023

Detection and Prediction of Terrorist Activities and Threatening Events in Twitter – A Survey

Cite this Research Publication : Mary Lisa Leenuse, Dhanya S Pankaj, Rahul Raj M, Detection and Prediction of Terrorist Activities and Threatening Events in Twitter - A Survey, 2023 International Conference on Control, Communication and Computing (ICCC), IEEE, 2023, https://doi.org/10.1109/iccc57789.2023.10165097

Publisher : IEEE

Year : 2023

Challenges in Creating Text Summarization Models in Malayalam: A Study

Cite this Research Publication : Rahul Raj M, Dhanya S Pankaj, Challenges in Creating Text Summarization Models in Malayalam: A Study, 2023 International Conference on Control, Communication and Computing (ICCC), IEEE, 2023, https://doi.org/10.1109/iccc57789.2023.10165363

Publisher : IEEE

Year : 2019

Optimized Path Selection in Oceanographic Environment

Cite this Research Publication : N. V. Sobhana, M. Rahul Raj, B. Gayatri Menon, Elizabeth Sherly, Optimized Path Selection in Oceanographic Environment, Advances in Intelligent Systems and Computing, Springer International Publishing, 2019, https://doi.org/10.1007/978-3-030-16681-6_50

Publisher : Springer International Publishing

Year : 2016

Malayalam text summarization: Minimum spanning tree based graph reduction approach

Cite this Research Publication : M Rahul Raj, Rosna P Haroon, Malayalam text summarization: Minimum spanning tree based graph reduction approach, 2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall), IEEE, 2016, https://doi.org/10.1109/icaccaf.2016.7748995

Publisher : IEEE

Qualifications
  • Ph.D. in Computer Science (Pursuing)
    College of Engineering Trivandrum (CET)
    Specialization: Natural Language Processing
    Research Title: Enhanced Machine Learning Techniques for Automatic Summarization of Malayalam Language Text Documents
  • M.Tech in Computer Science and Engineering
    Ilahia College of Engineering and Technology
    Focus Areas: Malayalam text summarization, graph-based methods, self-organizing maps, entity recognition
  • B.Tech in Computer Science and Engineering
    Ilahia College of Engineering and Technology
Experience & Academic Roles
Teaching Assistant, College of Engineering Trivandrum
  • Supervised UG and PG projects in text mining and summarization
  • Mentored students under the IDEA Summer Internship program
  • Provided academic and research guidance
Guest Lecturer, Cochin University of Science and Technology (CUSAT)
  • Taught C++, Java, and DBMS
  • Involved in assessment, examinations, and curriculum support
Research

Research & Publications

  • Published in reputed journals and conferences including:
    – ACM Transactions on Asian and Low-Resource Language Information Processing
    – Sādhanā
    – Procedia Computer Science
    – Multiple IEEE international conferences
  • Research areas include extractive and abstractive summarization, dataset creation, and low-resource language processing for Malayalam.
Academic Activities
  • Organized and participated in workshops, conferences, and FDPs on:
    NLP, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LaTeX
  • Reviewer, IEEE ICCC 2025
Awards & Recognitions
  • UGC NET JRF (2024)
  • AICTE Doctoral Fellowship (ADF)
  • GATE Qualified
  • Best Project Award, ICFOSS Summer School on NLP
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