Md. Mushtaq Shahriyar Rafee
Md. Mushtaq Shahriyar Rafee
Assistant Professor and Head (In-charge)
Md. Mushtaq Shahriyar Rafee received his B.Sc. (Engg.) degree in Computer Science and Engineering from Shahjalal University of Science and Technology (SUST), Sylhet, in 2021, with distinction. He began his academic career as a Lecturer in the Department of Computer Science and Engineering at Metropolitan University in September 2021. He was promoted to Senior Lecturer in September 2023 and later to Assistant Professor in December 2024. Since December 2025, he has been serving as the Head (In-Charge) of the Department of Data Science at Metropolitan University.
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B.Sc. (Engg.) in Computer Science & EngineeringShahjalal University of Science and Technology
Journal Papers
1. Samin, A. M., Kobir, M. H., Rafee, M. M. S., Ahmed, M. F., Hasan, M., Ghosh, P., Kibria, S., & Rahman, M. S. (2024). BanSpeech: a Multi-Domain Bangla Speech recognition benchmark toward robust performance in challenging conditions. IEEE Access, 12, 34527–34538. (2024) (Link)
2. Urnisha, N. N., Bithi, S. I., Rafee, M. M. S., Remon, N. I., Hasan, M. M., & Chowdhury, R. R. (2024). A transfer learning approach for facial emotion recognition using a deep learning model. International Journal of Research and Scientific Innovation, XI(IV), 274–284. (2024) (Link)
Conference Papers
1. B. Biswas, M. S. A. Shanto, S. A. Masum, M. S. I. K. Limon, M. M. S. Rafee and M. M. Hasan, "CricBakko: A New Bangla Dataset on Bangladesh Cricket for Sentiment Analysis," 2025 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 2025, pp. 1-5. (2025) (Link)
2. Ahnaf Mozib Samin, M Firoz Ahmed, and Md. Mushtaq Shahriyar Rafee. 2025. ColorFoil: Investigating Color Blindness in Large Vision and Language Models. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), pages 294–300, Albuquerque, USA. Association for Computational Linguistics. (2025) (Link)
3. Tabassum, A., Ema, Y. F., Rafee, M. M. S., & Limon, M. S. I. K. (2025, January). A Survey on Predicting Depression Among Teachers and Students at Metropolitan University (Sylhet, Bangladesh) Using Machine Learning. In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) (pp. 1-6). IEEE. (2025) (Link)
4. Alam, S. S., Munna, K. H., & Rafee, M. M. S. (2024, May). Covid-19 Detection From CT Scan Images Using Deep Learning Models. In 2024 International Conference on Intelligent Systems and Computer Vision (ISCV) (pp. 1-6). IEEE. (2024) (Link)