Academic Information
Ph.D, UEM, 2025
Research Areas
Research Interests
My research focuses on personalized information retrieval, educational data mining, and smart e-learning systems. My work spans intelligent retrieval methods, semantic web frameworks, and analytics for adaptive education environments. I also explore data mining and predictive modeling for student performance and question analytics in online learning, combined with applications of machine learning and semantic technologies to improve educational search and analytics.
Courses Taught
Positions Held
Publications
Sengupta, S., Bardhan, S., Das, R. et al. LearnAlytics: The Smart Way to Analyze, Adapt, and Achieve in E-Learning. SN COMPUT. SCI. 6, 79 (2025). https://doi.org/10.1007/s42979-024-03535-4. Status - Published. Indexing: Scopus.
Sengupta, S., Das, R., & Chakrabarti, S. (2024). A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning. EMITTER International Journal of Engineering Technology, 12(2), 213-236. https://doi.org/10.24003/emitter.v12i2.855. Status - Published. Indexing: ESCI.
Sengupta, S., Das, R. & Chakrabarti, S. Hybrid Data Mining Techniques for Predicting Student Academic Performance in E-Learning to Avoid Drop-Out (HDL-SP): An Efficient Data Mining Technique to Forecast Academic Performances of Students. SN COMPUT. SCI. 6, 162 (2025). https://doi.org/10.1007/s42979-025-03733-8. Status - Published. Indexing: Scopus.
Sengupta, S., Das, R., Bardhan, S. et al. Smart E-Learning, Smarter SEO: The Winning Formula. SN COMPUT. SCI. 6, 606 (2025). https://doi.org/10.1007/s42979-025-04136-5. Status - Published. Indexing: Scopus.
Sengupta, S., Chakrabarti, S. Towards a smarter education system: an investigation into ML and DL for information retrieval. Multimed Tools Appl 84, 42593–42626 (2025). https://doi.org/10.1007/s11042-025-20656-x. Status - Published. Indexing: Scopus.
De, D., Tulsian, K., Das, R., Sengupta, S., Bose, A., Sur, K. (2025). SMRITI—Semantic Model for Retrieval and Interpretation of Topical Information. In: Mandal, J.K., Hinchey, M., Chakrabarti, S. (eds) Recent Advances in Artificial Intelligence and Smart Applications. RAAISA 2024. Lecture Notes in Networks and Systems, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-96-5822-0_23. Indexing: Scopus.
S Sengupta et.al., “Prediction of Future Career Path Using Different Machine Learning Models” published in Emerging Technologies in Data Mining and Information Security, Proceedings of IEMIS 2020, Volume 3, Kolkata, India, March 2020 Page 241-252, https:// 10.1007/978-981-15-9774-9_23. Indexing: Scopus.