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Mst. Sahela Rahman
Lecturer


  • srtinni@gmail.com
  • 01780784770
  • Main Building
Qualification
M.Sc. Engineering in Computer Science & Engineering (CSE), Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh
B.Sc. Engineering in Computer Science & Engineering (CSE), University of Rajshahi, Rajshahi-6205, Bangladesh
Experience
Lecturer(April, 2022-February, 2023)
TMSS Engineering College, Bogura-5800, Bangladesh (2022-2023)
Lecturer( March, 2023- Present)
Pundra University of Science & Technology, Bogura-5800, Bangladesh (2023-Till now)
Publications
1. Rahman, S., & Zaman, S. U. (2026, April). Tense Classification for Low-Resource Bengali Language with a Curated Dataset and Transformer-Based Modeling. In 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) (pp. 1-6). IEEE.
2. Rahman, Mst Sahela (2026), “Bengali Descriptive Symptoms-to-Disease Identification Dataset”, Mendeley Data, V1, doi: 10.17632/c47cxw8cz4.1
3. S. Rahman and M. S. U. Zaman, "Bengali Descriptive Symptom to Disease Prediction Using Machine Learning for Improved Healthcare," 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11171959.
4. Rahman, M., Islam, M. R., & Paul, R. R. (2024). Sales Anomalies and Trends Identification in Retail Industry. Rabiul and Paul, Radha Rani, Sales Anomalies and Trends Identification in Retail Industry (December 26, 2024).
5. M. R. Islam, M. S. Rahman, R. R. Paul, M. F. Hosen, M. Khairunnahar and M. J. Nayeem, "Intensify Stroke Prediction Model Associated with Hypertensive State," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-5, doi: 10.1109/ICAEEE62219.2024.10561847.
6. Islam, M. R., Rahman, M., & Paul, R. R. (2024). Exploring Bangladesh's Pharmaceutical Purchase Trends: Perspectives from Periodicity Analysis and Association Rule Mining on Retail Transactions. Middle East Journal of Applied Science & Technology, 7(03), 10-46431.
7. Rahman, M. S. , "Classification and Prediction Rules to Build COVID-19 Pandemic Trending Model in BD"-Journal of Pundra University Science & Technology, Volume-3, Issue-1, May,2024
8. M. R. Islam, M. S. Rahman and M. J. Nayeem, "Association Rules Mining for a Specific Time Period in a Day in Large Transactional Database," 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 2023, pp. 402-406, doi: 10.1109/ICICT4SD59951.2023.10303523.
9. Paul, R. R., Islam, M. R., & Rahman, M. (2023). Bengali upos-tag: A systematic approach to universal dependency-based dataset creation for enhanced nlp research. Bengali UPOS-Tag: A Systematic Approach to Universal Dependency-Based Dataset Creation for Enhanced NLP Research (December 06, 2023).
10. Rahman, Mst Sahela (2026), “Annotated Bengali Tense Dataset”, Mendeley Data, V2, doi: 10.17632/g28ht3rvsc.2
Research
Natural Language Processing | Large Language Models (LLMs) | Low-Resource NLP | Machine Learning & Deep Learning | Data Engineering & Analytics | Data Mining | Database
Others