Mamata Das

Research Statement

• As a PhD student in interdisciplinary bioinformatics and machine learning, my research focuses on leveraging computational techniques to unravel complex biological phenomena. I am driven by the challenge of integrating vast biological datasets with advanced machine learning algorithms to extract meaningful insights and contribute to the understanding of fundamental biological processes.
• My research interests lie at the intersection of biology, computer science, and statistics, where I aim to develop innovative computational methods for analyzing high-throughput biological data. Specifically, I am interested in applying machine learning approaches to genomic, transcriptomic, and proteomic data to uncover patterns, identify biomarkers, and elucidate molecular mechanisms underlying diseases such as cancer, neurodegenerative disorders, and infectious diseases.
• One of the primary goals of my research is to develop predictive models that can accurately classify and predict biological outcomes, ultimately leading to personalized diagnostics and treatments. To achieve this, I integrate various machine learning techniques, including deep learning, ensemble methods, and feature selection algorithms, with domain-specific knowledge of biology and bioinformatics.
• Moreover, I am passionate about developing interpretable machine learning models that not only achieve high predictive accuracy but also provide insights into the underlying biological processes. By combining computational analyses with experimental validations, I aim to bridge the gap between computational predictions and biological experiments, facilitating the translation of computational findings into actionable insights for biomedical research and clinical applications.

Educational Qualifications

Qualification	Institute	Grade, Out of	Year
Doctor of Philosophy in Computer Applications	National Institute of Technology Tiruchirappalli, India	9.25, 10	2020 - 2024
Master of Technology in Computer Technology	Jadavpur University, India	8.2, 10	2018
Bachelor of Engineering in Computer Science and Technology	Indian Institute of Engineering Science and Technology, Shibpur, India	6.86, 10	2015

Research Publications

Journals

1. Mamata Das, Selvakumar K. and P.J.A. Alphonse. Analyzing and Comparing Omicron Lineage Variants Protein-Protein Interaction Network Using Centrality Measure. In SN Computer Science. Volume 4, Issue 3, Pages 299, Springer Nature Singapore, 2023.
2. Mamata Das, Selvakumar K. and P.J.A. Alphonse. AI in PPI for Analysis of Viral Pathogens in Protein Complex Identification. In Journal of Computational Biophysics and Chemistry VOL. 25, NO. 02, February, 2026.
3. Mamata Das, Selvakumar K. and P.J.A. Alphonse. ICEP and ILEP: two new approaches to identify community of complex biological network. In International Journal of Data Mining and Bioinformatics, January, 2025.

Book Chapters

1. Mamata Das, Selvakumar K. and P.J.A. Alphonse. An Analytical Study of COVID-19 Dataset Using Graph-Based Clustering Algorithms. In Smart Intelligent Computing and Applications, Volume 1. Smart Innovation, Systems and Technologies , vol 282. Springer Nature Singapore, 2022.
2. Mamata Das, Selvakumar K. and P.J.A. Alphonse. A New Approach for Enhanced Community Detection in Complex Networks through Incremental Updates of Girvan-Newman. In Advancing Engineering and Technology through Interdisciplinary Approaches - A Pragmatic Approach, Edited by Edited By: Mathew K, Archana Anurag Nema, Anant Sidhappa Kurhade, Anurag Nema, Cambridge Scholars Publishing, 2026.
3. Mamata Das, Selvakumar K. and P.J.A. Alphonse. ICEP‑BNet: An Innovative Method for Identifying Community Structures in Complex Biological Protein Interaction Networks. In Metaheuristics in Engineering Applications, Edited by Mathew V K, Archana Chandak, Man Mohan, Bhumeshwar K. Patle, CRC Press, 2025.

Conference Proceedings

1. Mamata Das. Predicting Protein Subcellular Localization of E. coli Bacteria Using Machine Learning Classifiers. In COLINS-2024: 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop. (Article Link)
2. Mamata Das, Selvakumar K. and P.J.A. Alphonse. Identifying Essential Hub Genes and Protein Complexes in Malaria GO Data using Semantic Similarity Measures. In ICMLBDA 2023: 3rd International Conference on Machine Learning and Big Data Analytics. May 29-30, 2023. (Article Link)
3. Mamata Das, Selvakumar K. and P.J.A. Alphonse. Markov Clustering Algorithms and Their Application in Analysis of PPI Network of Malaria Genes. In 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications(IDAACS), 2021. (Article Link)
4. Mamata Das, Selvakumar Kamalanathan and P.J.A. Alphonse. A comparative study on TF-IDF feature weighting method and its analysis using unstructured dataset. In 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference Lviv, Ukraine, April 22-23, 2021. (Article Link)

Participation in research activities

Research Grants

1. Selected grant candidate in fourth Indian Symposium on Machine Learning (IndoML), Indian Institute of Technology Bombay, December 21st - 23rd , 2023.
2. ACM India Anveshan Setu Fellowship, Mentor Institute: Indian Institute of Technology Patna, 2023.
3. Selected as grant for candidates in third IndoML, Indian Institute of Technology Gandhinagar, December 15th - 17th , 2022.
4. Received grant for students R&D under TEQIP-II, Jadavpur University, March 2016.

Workshop session

1. Course on Deep Learning and Generative AI Immersion, Indian Institute of Technology Dharwad, June 21st to 25th, 2024.
2. Workshop on WEKA: Exploring Machine Learning for Healthcare, Indian Institute of Technology Madras, April 6th to 7th , 2024.
3. Workshop on AI/Machine Learning, Algorithms, Computing Systems organized by ACM India councilat NIT Trichy, April 6th , 2024.
4. Workshop on Biological Dynamics: From Molecules to Evolution organized by BSBE Summer School at Indian Institute of Technology Dharwad, March 9th , 2024.
5. Sessions of NSM HPC/DL Awareness Bootcamp jointly organized by C-DAC and NIT Trichy, January 10th to 12th , 2024.
6. Participated in and organized a session for Prof. Venkatesh Raman (President of ACM India Council) at NIT Trichy on the topic of various standard topics in algorithms and data structures, 1st October 2023.
7. Participated in and organized a Three-Day Lecture series on Logic, Automata and Computation, NIT Trichy, 19th − 21st September, 2022.
8. Workshop on Advanced Training on High-Performance Computing, Cyber Security and Data Science, CSIR-4PI, 21st − 25th March 2022.
9. Workshop on Applied Machine Intelligence Techniques for Enterprise Architectures, NIT Trichy, SERB sponsored 21st − 27th March 2022.
10. Workshop on Statistical Modelling & Computational Intelligence, NIT Trichy, SERB sponsored 6th − 12th December 2021.
11. Workshop on Statistical and Machine Learning Techniques for Analytical Research, MANIT Bhopal, TEOIP-III, 20th − 24th February 2021.
12. GIAN (Global Initiative of Academic Network) course on Human Genomics: Computational Methods and Applications, Jadavpur University, December 2017.
13. GIAN course on Digital Topology and Geometry in Medical Imaging, Jadavpur University, January 2017.
14. Hands-on-training of molecular biology experiments and basic introduction to computational biology techniques, Indian Institute of Technology Kharagpur, June, 2016.

Participation in course

1. NPTEL: 12-week course on BioInformatics: Algorithms and Applications, Indian Institute of Technology Madras, January - April, 2024
2. NPTEL: 13-week course on Social Network Analysis, Indraprastha Institute of Information Technology Delhi, July - October 2022
3. HPC Shiksha: 13-week course on Basics of High-Performance Computing, Indian Institute of Technology Goa, November 2020 - February 2021

Professional Experience

Position held	Institute	Year
Lecturer	Bengal College of Engineering & Technology, Durgapur, India	August 2019 – August 2020
Visiting Lecturer	Swami Vivekananda Institute of Science and Technology, Kolkata, India	February - June 2018
Visiting Lecturer	Meghnad Saha Institute of Technology, Kolkata, India	February – July 2017

Extracurricular activities

Member of Raja Yoga Kriya Yoga Misision.

Active and lead member on EduPort NGO.

Declaration

I hereby declare that the details furnished above are true and correct to the best of my knowledge and belief.

Last update: Friday, 27th September, 2024 GMT+0530 (India Standard Time)