NETWORK INSTITUTIONS

FACULTY
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FACULTY

Mumthaz Beegum M
Assistant Professor
Department of Data Science
MPhil in Computer Science, MCA,BCA, UGC-NET
Email: mumthazbeegumm@gmail.com

Academic Qualifications

  • Pursuing Doctor of Philosophy in Computer Science at the Department of Computer Science University of Kerala, Thiruvananthapuram.
  • Secured Master of Philosophy in Computer Science with Grade ‘O’ (Outstanding – 93%), specializing in Machine Learning and Big Data, from the University of Kerala (2018).
  • Secured Master of Computer Applications (M.C.A) with First Rank (86.03%) from the University of Kerala (2016), at T K M College of Engineering, Kollam.
  • Secured Bachelor of Computer Applications (B.C.A) with Second Rank (82.75%) from the University of Kerala (2013), at University Institute of Technology Kottarakkara, Kollam.
  • Cleared UGC NET in 2024.

Domain Expertise

  • Natural Language Processing
  • Text Analytics
  • Large Language Models
  • Deep and Machine Learning
  • Artificial Intelligents

Experience and Contact address

Date of Joining : 18-05-2026
Email: mumthazbeegumm@gmail.com

Selected Scholastic Contributions

CHAPTERS IN BOOKS

  1. Mumthaz Beegum,M.,Raseena Beevi, Aji, S. A Hybrid Framework for Short-Text Similarity Detection by Integrating Semantic and Syntactic Measures.9th International Conference on Smart Trends in Computing and Communications 29 – 31, January 2025, SmartCom 2025, Pune, India.
  2. Mumthaz Beegum,M., Aji, S.Siamese BERT with Enhanced Feature Models for Paraphrase Detection.4th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS-2024) 27th – 28th March, 2024,CDAC Noida in association with the Automatic Control, Computers & Electronics Department, Faculty of Mechanical and Electrical Engineering, Petroleum-Gas University of Ploiesti, Romania, the University of Haute-Alsace, France and North-eastern University, USA, Springer[Best Paper Award]
  3. Mumthaz Beegum,M., Aji, S., & Vijayan, R. Synonym Insensitive Searching: A Novel Synonym Weighted-Vector Space Model for Document Retrieval. In 2023 2nd International Conference on Computational Systems and Communication (ICCSC) (pp. 1-7). IEEE.
  4.  Swathy S Kumar.,Mumthaz Beegum,M., & Aji, S., Sentiment Knowledge Graph: explore and evaluate the social media content. In 3rd International Conference on Data Science & Big Data Analytics held at Sri Aurobindo Institute of Technology Indore on 16th -17th June 2023. Springer

Research Papers

  1. Mumthaz Beegum,M.,Raseena Beevi, Aji, S. A Hybrid Framework for Short-Text Similarity Detection by Integrating Semantic and Syntactic Measures.9th International Conference on Smart Trends in Computing and Communications 29 – 31, January 2025, SmartCom 2025, Pune, India.
  2. Mumthaz Beegum,M., Aji, S.Siamese BERT with Enhanced Feature Models for Paraphrase Detection.4th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS-2024) 27th – 28th March, 2024,CDAC Noida in association with the Automatic Control, Computers & Electronics Department, Faculty of Mechanical and Electrical Engineering, Petroleum-Gas University of Ploiesti, Romania, the University of Haute-Alsace, France and North-eastern University, USA, Springer[Best Paper Award]
  3. Mumthaz Beegum,M., Aji, S., & Vijayan, R. Synonym Insensitive Searching: A Novel Synonym Weighted-Vector Space Model for Document Retrieval. In 2023 2nd International Conference on Computational Systems and Communication (ICCSC) (pp. 1-7). IEEE.
  4. Swathy S Kumar.,Mumthaz Beegum,M., & Aji, S., Sentiment Knowledge Graph: explore and evaluate the social media content. In 3rd International Conference on Data Science & Big Data Analytics held at Sri Aurobindo Institute of Technology Indore on 16th -17th June 2023. Springer.
  5. Mumthaz Beegum,M., Fousiya Shamsudeen, HDR Image Tone Mapping Using local contrast limited Adaptive histogram equalization and Layer Averaging,National Conference on Innovative Development in Engineering and Advanced Science on March 2016 .

Journal Articles

  1. Mumthaz Beegum M and Aji S,A Method for Text Plagiarism Classification using Deep Learning, Journal of Applied Science and Computations, Volume V, Issue XI,November-2018.

Scientific Presentations

  1. Mumthaz Beegum,M.,Raseena Beevi, Aji, S. A Hybrid Framework for Short-Text Similarity Detection by Integrating Semantic and Syntactic Measures.9th International Conference on Smart Trends in Computing and Communications 29 – 31, January 2025, SmartCom 2025, Pune, India.
  2. Mumthaz Beegum,M., Aji, S.Siamese BERT with Enhanced Feature Models for Paraphrase Detection.4th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS-2024) 27th – 28th March, 2024,CDAC Noida in association with the Automatic Control, Computers & Electronics Department, Faculty of Mechanical and Electrical Engineering, Petroleum-Gas University of Ploiesti, Romania, the University of Haute-Alsace, France and North-eastern University, USA, Springer[Best Paper Award]
  3. Mumthaz Beegum,M., Aji, S., & Vijayan, R. Synonym Insensitive Searching: A Novel Synonym Weighted-Vector Space Model for Document Retrieval. In 2023 2nd International Conference on Computational Systems and Communication (ICCSC) (pp. 1-7). IEEE.
  4. Swathy S Kumar.,Mumthaz Beegum,M., & Aji, S., Sentiment Knowledge Graph: explore and evaluate the social media content. In 3rd International Conference on Data Science & Big Data Analytics held at Sri Aurobindo Institute of Technology Indore on 16th -17th June 2023. Springer.
  5. Mumthaz Beegum,M., Fousiya Shamsudeen, HDR Image Tone Mapping Using local contrast limited Adaptive histogram equalization and Layer Averaging,National Conference on Innovative Development in Engineering and Advanced Science on March 2016 .

Talks & lectures

  1. Served as Resource Person for the session titled “Discover LaTeX Using Overleaf: Your Companion for Academic Success” organized by the Department of Computer Science, University of Kerala on 16–05–2025.

Academic Programmes Organized

  1. Organising Committee Member for ”Discover Latex Using Overleaf: Your Companion for Academic Success,” organised by the Department of Computer Science, University of Kerala, on 16th May 2025.

Workshops

  1. Two days Workshop & FDP on NLP and Large Language Models (N-Large) during April 5 -6, 2024 organised by Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam.
  2. Six days Workshop & FDP on Natural Language Processing- Foundations and Beyond: A Comprehensive Programme (N-FAB) during August 7 -12, 2023 organised by Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam.
  3. Participating in five days Workshop & FDP on N-Hans : from Transformers to LLM during December 12-16, 2023 organised by Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam.
  4. GIAN course on Advanced Digital Video Coding Standards (funded by MHRD, Government of India), held at Department of Computer Science, University of Kerala, Kariavattom , Thiruvananthapuram from 1st to 12th of January 2018

Positions Held

  1. Placement Coordinator
  2. Event Coordinator
  3. Organizing Committee Member

Responsibilities at college programmes

  • Placement Coordinator, TKMCE, Kollam (2013-2016).
  • Event Coordinator for National Level Technical symposium TEZORO held at TKMCE, Kollam (2015).
  • Organizing Committee Member for ”Discover Latex Using Overleaf: Your Companion for Academic Success,” organized by Department of Computer Science, University of Kerala on 16th May 2025.

Awards and Achievements

  • TKMCE Alumni Award for securing First Rank in Master of Computer Applications (MCA) from University of Kerala.
  • TKMCE Alumni Award for Best Outgoing Student of MCA 2013-2016 Batch, from TKM College of Engineering.
  • Panakkad Syed Muhammedali Shihab Thangal Memmorial Charitable and Educational Centre Award for securing First Rank in Master of Computer Applications (M.C.A) from University of Kerala.
  • University Institute of Technology PTA and Staff union Award for securing Second Rank in Bachelor of Computer Applications (BCA) from Kerala University.

Papers Taught

  1. Artificial Intelligence
  2. Data Structures
  3. Big Data Analytics
  4. Java Programming
  5. Unstructured Data Analytics
  6. Social Network Analysis

Trainings attended

  1. Five-Day National Training Program on “Mastering MLOps: A Complete Lifecycle Approach” from 16–02–2026 to 20–02–2026 organized by the Department of Computer Science, University of Kerala.
  2. Induction Training Programme for Faculty organized by the Teaching and Learning Centre of TKM College of Engineering, Kollam from 19 th to 23 rd of December, 2016.
  3. Online training/webinar on “IEEE Xplore” organized by University of Kerala on 20 Dec 2022.

Research Projects

Research Works

  1. PhD Thesis (Ongoing):
    Intelligent Text Analysis Techniques for Effective Plagiarism Detection
    Supervisor: Dr Aji S, Department of Computer Science University of Kerala
  2. MPhil Dissertation: Text Plagiarism Detection using Context-Based Features Supervisor: Dr Aji S, Department of Computer Science University of Kerala

Academic Projects

  1. MCA Main Project:
    Burst Review Detection using Supervised Learning and Reviewer Personality Traits
    Supervisor: Vaheetha Salam, T K M College of Engineering
  2. MCA Mini Project:Traffic Density Evaluation using Combined Spectral, Texture, and Gradient Features Supervisor: Nadera Beevi S, T K M College of Engineering

Online Courses/Training Programmes Offered

  1. Organising Committee Member for ”Discover Latex Using Overleaf: Your Companion for Academic Success,” organised by the Department of Computer Science, University of Kerala, on 16th May 2025.

Innovations in Teaching & Learning

  1. Hands-on learning using Google Colab
  2. Project-based and experiential learning
  3. Integration of AI tools and Large Language Models
  4. Incorporation of research-oriented learning in Machine Learning and Deep Learning domains

E-Content

  1. Introduction to Natural Language Processing at Analytics Vidhya on 17 th Sept 2021.
  2. Crash Course on Python at Coursera on 27 Apr 2023.
  3. Python Essentials 1 at CISCO on 06 May 2023.
  4. Neural Networks and Deep Learning at Coursera on 24 May 2023.
  5. Natural Language Processing with Attention Models at Coursera on 25 May 2023.
  6. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization at Coursera on 31 May 2023.
  7. Python Essentials 2 at CISCO on 08 Jun 2023.
  8. Natural Language Processing with Attention Models at Coursera on 12 Sept 2023.
  9. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning at Coursera on 13 Sept 2023.
  10. QEEE program on the module “Information Security and Cryptography” of Cryptography and Network Security delivered by Prof. Chester Rebeiro ,IIT Madras.
  11. Three-Day International Webinar on “Language,Data and Knowledge Extraction“, jointly organized by the Department of Computer Science and Department of Linguistics ,University of kerala,India ,on 22nd -24th March 2021.
  12. Three-Day International Seminar on Data Science and Information Processing ,22-24 November 2021,organized by the Centre for Data Science and Information Processing,Department of Computer Science, University of kerala.
  13. National Level Webinar on “Research and Publication ethics” organized by the IQAC in association with the Department of Computer science, Saveetha college of Liberal Arts and Sciences,Saveetha Institute of Medical and Technical Sciences,Chennai held on 21th July 2022.
  14. Webinar on “MACHINE LEARNING, DEEP LEARNING AND COMPUTER VISION” Organized by Dept of Computer Science , Carmel College on 22 Jan 2022.