IIT Madras

Department of
Management Studies

Dr. Nargis Pervin
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

Teaching & Research

Social Network Mining Recommender Systems Mobile App Analytics Econometric Modeling
[Image of recommender system architecture]

Teaching Interests

MBA Courses
  • Information Systems Analysis
  • Social Media Computing
  • Information Technology Lab
  • Spreadsheets for Business Data Analysis
  • Software Product Management
EMBA Courses
  • Information Technology for Digital Economy
  • Analytics for Business and Society

Experience

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

Journal Publications

Recent Publications (Selected)

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.

In Pipeline (Under Review / To be Submitted)

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).

Conference Papers

International Conferences (Selected)

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.

National Conferences

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.

Professional Activities & Awards

Leadership & Editorial

  • 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).

Student Achievements & Guidance

  • Best MS Thesis Award (2025): Prasad Deshmukh
  • Best AMCIS Top 25% Paper (2023): Manmath, Davangave Balaji and Pervin
  • Doctoral Consortium (ICIS): Pratyush Yadav
  • Guidance: 2 MS Graduated, 5 MS Ongoing, 3 PhD Ongoing.

Book Chapter

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