Hasan Muhammad Kafi

Assistant Professor

Department of Computer Science and Engineering (CSE)

Bangladesh Army University of Science and Technology (BAUST)

About

Hasan Muhammad Kafi is currently working as an Assistant Professor in the Department of Computer Science and Engineering (CSE) at Bangladesh Army University of Science and Technology (BAUST). Formerly, he was a Lecturer in the Department of Computer Science and Engineering (CSE) at Bangladesh Army University of Science and Technology (BAUST). He also served as a Lecturer in the Department of Computer Science and Engineering (CSE) at Brahmaputra International University, as well as worked as a Senior Software Engineer at L2N Software Limited. He received his M.Sc. Engineering degree in Information and Communication Technology from Bangladesh University of Engineering and Technology (BUET) and B.Sc. Engineering degree in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET). Currently, he is pursuing his Ph.D. in Computer Science and Engineering (CSE) at BUET. His research interest includes Data Science, Machine Learning, Deep Learning, Large Language Models, Multi-Agent RAG, etc.

Most Recent Publications

Muntaqim, M. Z., Kafi, H. M., & Smrity, T. A. (2026). Privacy-aware plant disease detection: federated learning with homomorphic encryption on image data. The Visual Computer, 42(1), 18.
Muntaqim, M. Z., Smrity, T. A., Kafi, H. M., Miah, A. S. M., Al Farid, F., Karim, H. A., & Rahman, A. (2025). Federated learning meets few-shot learning: A voting ensemble based combined approach to cauliflower leaf disease classification across Non-IID data distributions. Array, 100516.
Muntaqim, M. Z., Smrity, T. A., Miah, A. S. M., Kafi, H. M., Tamanna, T., Al Farid, F., Rahim, M. A., Karim, H. A., & Mansor, S. (2024). Eye disease detection enhancement using a multi-stage deep learning approach. IEEE Access.
Tusher, M. M. R., Kafi, H. M., Rinky, S. R., Islam, M., & Rahman, M. M. (2023). A comparative analysis of various deep learning models for traffic signs recognition from the perspective of Bangladesh. In International Conference on Big Data, IoT and Machine Learning (pp. 547–557). Springer Nature Singapore.

Contact

Department of Computer Science and Engineering (CSE),

Bangladesh University of Engineering and Technology (BUET),

Dhaka, Bangladesh

Mobile: 01718781841

Email: engr.kafi@gmail.com, kafi@baust.edu.bd