M.Sc. in Software Engineering (Major in Data Science)
Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka, Bangladesh.

B.Sc. in Software Engineering 
Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka, Bangladesh.

• Induction Training for Newly Recruit Faculty Members of Spring-2025
• Teaching and Educational Theories for Tertiary Level Teaching
• Research Methodology
• Excellence in Teaching at Tertiary Level: Dos and Don’ts.
• Teaching Dossiers and How to Make It for Teaching Career
• Engaging Classroom and Interactive Teaching
• Introduction to Outcome-Based Education (OBE)
• Course File Preparation: Theory, Lab

• Introduction to Software Engineering
• Artificial Intelligence
• Data Communication
• Discrete Mathematics
• Structured programming
• Computer Fundamental
• Introduction to Machine Learning
• Database System
• Software Requirements Specification and Analysis

Journals:

1. Shoyshob, M.S., Rahman, M.A., Ali, M.M., Ahmed, K., Bui, F.M., Hossain, B. and Ibrahim, S.M., 2026. FedAntiDiaPep: Privacy-preserving deep learning framework for antidiabetic peptides identification using federated learning. Neurocomputing, p.134885.
2. Rahman, M.A., Ali, M.M., Shohidullah, M., Ahmed, K., Bui, F.M., Chen, L. and Moni, M.A., 2026. SPPIPred: Stacking-based ensemble learning model for identification of protein-protein interaction. PLoS One, 21(7), p.e0353199.
3. Rahman, M.A., Ali, M.M., Ahmed, K., Mahmud, I., Bui, F.M., Chen, L. and Moni, M.A., 2025. Deep3BPP: Identification of Blood–Brain Barrier Penetrating Peptides Using Word Embedding Feature Extraction Method and CNN-LSTM. IEEE Transactions on Artificial Intelligence, 7(1), pp.562-570.
4. Rahman, M.A., Abdulrazak, L.F., Ali, M.M., Ahmed, K., Bui, F.M., Chen, L., Mahmud, I., Bhuiyan, T. and Moni, M.A., 2026. A novel stacking-based classifier for identifying antifreeze protein using latent semantic analysis. Intelligent Medicine, 6(01), pp.69-80.
5. Hasan, M.M., Rahman, M.A., Ali, M.M., Ahmed, K., Bui, F.M., Ibrahim, S.M., Mahmud, I. and Moni, M.A., 2026. Deep_TPPred: Improved prediction of protein toxicity using feature fusion and hybrid neural network approach. IEEE Transactions on Computational Biology and Bioinformatics.
6. Raihan, F.R., Abdulrazak, L.F., Rahman, M.A., Ali, M.M., Ibrahim, S.M., Ahmed, K., Bui, F.M. and Mahmud, I., 2025. StackTHP: A stacking ensemble model for accurate prediction of tumor-homing peptides in cancer therapy. Computers in Biology and Medicine, 189, p.109958.
7. Shoyshob, M.S., Al-Tabatabaie, K.F., Abdulrazak, L.F., Rahman, M.A., Ali, M.M., Ibrahim, S.M., Ahmed, K., Bui, F.M. and Moni, M.A., 2025. StackAPP: Advancing autophagy protein identification with ensemble learning. Analytical Biochemistry, p.115981.
8. Rahman, M.A., Ali, M.M., Ahmed, K., Mahmud, I., Bui, F.M., Chen, L., Kumar, S. and Moni, M.A., 2024. DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model. Results in Engineering, 24, p.102878.
9. Rahman, M.A., Abdulrazak, L.F., Ali, M.M., Mahmud, I., Ahmed, K. and Bui, F.M., 2023. Machine learning-based approach for predicting diabetes employing socio-demographic characteristics. Algorithms, 16(11), p.503.

Conference Papers:

1. Mia, M.R., Rahman, M.A., Ali, M.M., Ahmed, K., Bui, F.M. and Mahmud, S.H., 2022, September. PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors. In International Conference on Machine Intelligence and Emerging Technologies (pp. 109-121). Cham: Springer Nature Switzerland.

Artificial Intelligence, Machine Learning, Deep Learning, Word-Embedding, Biomedical, Healthinformatics, Bioinformatics. Contrastive Learning, Federated Learning.

Lecturer-Contractual (29th August 2024-31st December 2024)
Department of Software Engineering
Faculty of Science & Information Technology
Daffodil International University  
Daffodil Smart City, Birulia, Savar, Dhaka, Bangladesh.