Department of
Management Studies

Faculty Profile

Dr. Nargis Pervin

Associate Professor

Ph.D. (Information Systems) — National University of Singapore (2015)

M.Tech (Computer Science) — Indian Statistical Institute, Kolkata (2009)

M.Sc. (Industrial Mathematics) — IIT Roorkee (2006)

nargisp@iitm.ac.in +91-44-2257 4574 Office: DoMS 407

[Image of recommender system architecture]

MBA Courses

EMBA Courses

Associate Professor, Department of Management Studies, IIT Madras (May 2025 – Present).
Assistant Professor, Department of Management Studies, IIT Madras (Nov 2016 – May 2025).
Visiting Faculty, IIITDM Kancheepuram (Dec 2015 – Oct 2016).
Junior Systems Consultant, Metalogic Systems, Kolkata, India (Aug 2009 – Dec 2009).

CredBERT: Credibility-aware BERT model for fake news detection. R Anju, N Pervin. Data & Knowledge Engineering, 2025.
Knowledge-based Context-aware Group Recommender System for Point of Interest recommendation. N Pervin, A Kulkarni, A Adarsh, S Som. Decision Support Systems, 2025.
Enhancing Cross-Domain Recommendations: Leveraging Personality-Based Transfer Learning with Probabilistic Matrix Factorization. Somdeep Acharyya, and Nargis Pervin*. Expert Systems with Applications, 2024.
Integration of local and global interests: A preference aware sequential recommender. Sanjay K, Pervin N. Neurocomputing, 2024.
Towards efficient navigation in digital libraries: Leveraging popularity, semantics and communities to recommend scholarly articles. Yadav, P. and Pervin, N. Journal of Informetrics, 2022.

[Under Review] Personalized Learning Path Generation Using Large Language Models and Sequential Recommendations (Prasad Deshmukh, Harshit Samrat, Nargis Pervin).
[Under Review] Collaborative Long-tail Session-based Recommendations (Sanjay K, Nargis Pervin).
[Upcoming] Purchase and Session Aware Recommendation with Graph Neural Networks (Sanjay K, Hari Prasad, Nargis Pervin, Girish, Rahul Ghosh).
[Upcoming] From Sleeping Beauties to Belle of the Ball: Uncovering Hidden Gems in Scholarly Literature (Pratysuh Yadav, Nargis Pervin).

Pervin, N., Nishant, R., "Navigating the Educational Research Maze", Palgrave MacMillan (2016).

N Pervin* et al., “KTReq: Knowledge Aware Transformer Based Prerequisite Identification in MOOC”, WITS 2024.
Yadav P., N Pervin*, Michael Scholz, “Ahead of the Curve: Identifying Timely Potential in IS Research”, ICIS 2024 Treo.
Anju R, Nargis Pervin*, "Domain-aware Credibility Assessment for Improved Fake News Detection on Twitter", ECIS 2024 Treo.
Rajaram R, ... Pervin, N.*, "Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis...", WITS 2023.
S Krishnamurthy, N Pervin*, "How to Find Better Neighbors?: A Context Aware Session-based Recommendation", WITS 2022.
Pervin, N., et al., "Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags", HCI International, 2015.

Samrudhhi Patil, Nargis Pervin, "Large Language Models in recommendation systems", 15th CERE 2025 IIM Indore.
Pratyush Yadav, Nargis Pervin*, "When Web of Science and Twitter Collaborate...", ICHL 2023.

Associate Editor, International Conference on Information Systems (ICIS), 2021, 2022
PC Member, WITS (2022, 2023)
Associate Editor, PACIS 2018
Local Arrangement Chair, DESRIST 2018
Reviewer for ACM TMIS, IEEE TEM, Heliyon, Decision Support Systems, and major IS conferences (ICIS, ECIS, PACIS).