Bachelor of Science in Computer Science and Engineering,
Daffodil International University, Dhaka

1. Research Training for Teachers, organized by the Division of Research (DoR), Daffodil International University (DIU), 2026.
2. Workshop on Introduction to Multi-Agent Systems with LangGraph (2025), Hajee Mohammad Danesh Science & Technology University, Dinajpur.
3. Presentation on Advances in Multi-Agent Systems (2025), 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), Daffodil International University.
4. Training session on Exploring Tools for Unlocking AI Potential in Teaching and Research, 2024.
5. Training on Professional Behaviour for New Teachers, HRDI, Daffodil International University (DIU), 2023.
6. Outcome-Based Learning Training Program 2022, IQAC, Dhaka International University (2022).

1. Artificial Intelligence
2. Natural Language Processing
3. Algorithms
4. Data Mining and Machine Learning

Journal Articles

1. Kafi, M.A.A., Banshal, S.K., Moni, R., Aziz, A.L., Aljuaid, M., Bansal, R. (2026). LeafAI: Interpretable plant disease detection for edge computing. PLOS ONE, 21(1): e0335956. doi: 10.1371/journal.pone.0335956
2. Kafi, M.A.A., et al. (2026). FewShot AdaptiveMLC: Sequential Multi-Task Learning Approach with Targeted Few-Shot Adaptation to Address Class Imbalance in Multi-label Datasets. International Journal of Data Science and Analytics, Springer Nature (Accepted, in press).
3. Islam, M.S., Al Kafi, M.A., Moni, R., Onik, A.I., Siddiquee, S.M.T., Raza, D.M. (2026). EdgeEval: A Model-Agnostic Rapid Prototyping Framework for Image Processing at the Edge. Array, 32: 101248. doi: 10.1016/j.array.2026.101248
4. Kafi, M.A.A., Moni, R., Dip, S.D. (2026). LowResNLTK: A Python framework for simplifying low-resource natural language processing pipelines. SoftwareX, 34: 102713. doi: 10.1016/j.softx.2026.102713
5. Arora, S., Kumar, D., Arora, S., Agrawal, V., Panigrahi, R., Al Kafi, M.A. (2026). Enhancing online well-being through transformer-based analysis of misinformation and mental health. Discover Mental Health, 6: 45. doi: 10.1007/s44192-026-00385-9
6. Kafi, M.A.A., Banshal, S.K., Sultana, N., Gupta, V. (2024). Source Recommendation System Using Context-based Classification: Empirical Study on Multi-level Ensemble Methods. Journal of Scientometric Research, 13(2): 475-484. doi: 10.5530/jscires.13.2.38
7. Kafi, M.A.A., Banshal, S.K., Shakib, M.S., Azam, S., Tabashom, T.A. BOISHOMMO: Holistic Approach for Multi-Label Bangla Hate Speech. Journal of Communication, Language and Culture, MMU Press (Under review).
8. Kafi, M.A.A., Dip, S.D., Karmakar, M., Banshal, S.K. EMFET: Efficient Mathematical Feature Extraction for Malaria Cell Classification Tool. SoftwareX, Elsevier (Under review).
9. Kafi, M.A.A., et al. Semantic-Reducer: A Python Library for Corpus-Adaptive Semantic Text Normalization. Array, Elsevier (Under review).
10. Kafi, M.A.A., Hussain, W., Moni, R. Inside the Degree, Outside the Discipline? Testing an Asymmetric Appraisal Model of the Curricular Legitimacy Gap in Computing Education. IEEE Access, IEEE (Under review).
11. Kafi, M.A.A., Hussain, W., Karmakar, M., Banshal, S.K., Marouf, A.A. EMFE: A Mathematically Interpretable, Patient-Grouped Feature-Extraction Framework for Malaria Cell Classification. PLOS ONE, PLOS (Under review).
12. Kafi, M.A.A., Hussain, W., et al. Federated Learning for Clinical Outcome Prediction: A Systematic Review. Computers in Biology and Medicine, Elsevier (Under review).
13. Kafi, M.A.A., et al. Rethinking Cognitive Engagement with Artificial Intelligence in Higher Education: A Challenge to the Protective Factor Assumption. Higher Education, Springer (Under review).
14. Kafi, M.A.A., Hussain, W., et al. MorphNN: A Multimodal Morphological-Visual System for Viral Exanthem Triage with Clinically Interpretable Predictions. Neural Computing and Applications, Springer (Under review).
15. Kafi, M.A.A., Moni, R., Hussain, W. NormEval: A Unified Multi-Metric Framework for Evaluating Semantic Fidelity in Text Normalization. Natural Language Processing Journal, Elsevier (Under review).
16. Kafi, M.A.A., Hussain, W., et al. Anatomy-Constrained Attention for Verifiable Lesion Localization in Multi-Label Slit-Lamp Diagnosis. Scientific Reports, Springer Nature (Under review).
17. Kafi, M.A.A., Hussain, W. Hindsight in the Record: Measuring How Much of Public Procurement Disclosure Only Becomes Informative After the Fact. Forecasting, MDPI (Under review).
18. Kafi, M.A.A., et al. Information Decomposition for Tender Prediction. Forecasting, MDPI (Under review).
19. Kafi, M.A.A., Moni, R., Banshal, S.K. Reasoning Over Recall: Evaluating the Efficacy of Generalist Architectures vs. Specialized Fine-Tunes in RAG-Based Mental Health Dialogue Systems. International Journal of Information Technology, Springer (Under review).
20. Amin, M.D., Moni, R., Dewan, H., Kafi, M.A.A. Congestion-Triggered Distillation: Turning Buffer Saturation into Entanglement Quality. Results in Physics, Elsevier (Under review).

Book Chapters

1. Kafi, M.A.A., Hussain, W. (2026). Invisible Cognitive and Emotional Dynamics in Generative AI-Supported Learning. In Lecture Notes in Educational Technology, Springer (Accepted).
2. Karmakar, M., Kafi, M.A.A., Sabbir, W., Afridi, A.S., Raza, D.M. (2023). Drinking Addiction Predictive Model Using Body Characteristics Machine Learning Approach. In Advanced Network Technologies and Intelligent Computing (ANTIC 2023), CCIS, Springer. doi: 10.1007/978-3-031-64070-4_23
3. Karmakar, M., Kafi, M.A.A., Afridi, A.S., Sabbir, W., Raza, D.M. (2023). Feature Engineering for Predicting Consumer Purchase Behavior: A Comprehensive Analysis. In Advanced Network Technologies and Intelligent Computing (ANTIC 2023), CCIS, Springer. doi: 10.1007/978-3-031-64067-4_10

Conference Papers

1. Kafi, M.A.A., Hossain, M.F., Noori, S.R.H. (2021). A Review on the Relationship Between Human and Artificial Imagination with Their Implementations in Current Machine Learning Algorithms. 12th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE. doi: 10.1109/ICCCNT51525.2021.9579860
2. Kafi, M.A.A., Tasnova, I.J., Islam, M.W., Banshal, S.K. (2021). Performances of Different Approaches for Fake News Classification: An Analytical Study. ANTIC, Springer. doi: 10.1007/978-3-030-96040-7_53
3. Sabbir, W., Kafi, M.A.A., Afridi, A.S., Rahman, M.S., Karmakar, M. (2024). Improving Predictive Analytics for Student Dropout: A Comprehensive Analysis and Model Evaluation. 11th International Conference on Computing for Sustainable Global Development (INDIACom), IEEE. doi: 10.23919/INDIACom61295.2024.10498520
4. Hasan, R., Islam, M., Hosen, M.M., Kafi, M.A.A., Radhakrishnan, N. (2024). Predicting Diabetes in Women Through Machine Learning. INDIACom 2024, IEEE. doi: 10.23919/INDIACom61295.2024.10499129
5. Afridi, A.S., Kafi, M.A.A., Sabbir, W., Rahman, M.S., Stenin, N.P., et al. (2024). Comparative Analysis of Machine Learning Algorithms for Predicting Heart Disease: A Comprehensive Study. INDIACom 2024, IEEE. doi: 10.23919/INDIACom61295.2024.10498611
6. Hasan, R., Hasan, F., Hasan, M., Islam, M., Kafi, M.A.A., Karmakar, M. (2024). Classifying Different Types of Smokers and Drinkers by Analyzing Body Signals Using Machine Learning. INDIACom 2024, IEEE. doi: 10.23919/INDIACom61295.2024.10499139

1. Agentic systems and multi-agent orchestration
2. Neurosymbolic AI for verifiable autonomous systems
3. Low-resource Natural Language Processing
4. Edge AI and Explainable Machine Learning

• Received Researcher Recognition Award 2024 from Daffodil International University.

• Lecturer Lab, Daffodil International University (Aug 2023 - Dec 2024)