• PhD researcher, Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET)
• Master of Science, Department of Computer Science and Engineering, Jahangirnagar University.
• Bachelor of Science, Department of Computer Science and Engineering, Jahangirnagar University.

Four Days’ Induction Training for Teachers which included the following:
(a) Introducing IQAC Institutional Quality Assurance Cell by Professor Dr. A. K. M. Fazlul Haque, Director, IQAC, DIU

(b) Outcome Based Education (OBE) & Bloom’s Taxonomy by Prof. Dr. Md. Mozahar Ali - Bangladesh Agricultural University

(c) Using Online Facilities in Teaching: Blended Learning Center (BLC) by Mr.Narayan
Ranjan Chakraborty, Associate Professor and Associate Head, CSE

(d) AI Education by Mr. Amit Chakraborty Assistant Professor, CSE

(e) Leadership & Skill Development by Dr. Md. Sabur Khan, Chairman, BoT, DIU

A training on"Edpuzzle and Online Course Creation." By HRDI, DIU
A Teacher Training session on "Towards Excellence in Educational Leadership" facilitated by Prof. Dr. Franco Gandolfi 
LEDP training for Web design and development 2020.
Youth Social Leadership Training, 2018

• Algorithm
• Bioinformatics
• Software projects
• Artificial Intelligence

1. Khan, S., Sharmin, S., Leo, L.A., Bakar, Z.B.A., Mustofa, S., Emon, Y.R., Niloy, M.S.I., Jerin, N.N. and Akter, M.M., 2026. FlashViT: A Memory-Efficient and Explainable Vision Transformer for Multi-Class Sweet Orange Disease Classification. IEEE Access.
2. Mustofa, S., Khan, S., Shovo, S.A., Emon, Y.R. and Rahman, M.S., 2025. Optimizing Soursop leaf disease classification with a lightweight ensemble model and explainable AI. Current Plant Biology, p.100526.
3. Mustofa, S., Emon, Y.R., Khan, S., Shahriar, A. and Bhowmik, A.C., 2026. Adaptive and Task-Specific Transfer Learning Approach in X-ray Imaging for Lung Disease Classification with XAI Insights. Array, p.101241.
4. Ahmed, M.W., Meem, K.R., Limon, M.S., Afrin, S., Siddique, K.N.T. and Khan, S., 2026, April. Predicting the Risk of Post-Chikungunya Arthritis Using Hybrid Ensemble Model. In 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) (pp. 1-6). IEEE.
5. Khan, S., Modak, A.K., Ashik-E-Elahe, M., Al-Amin, A. and Mehrin, I., 2025. Image Based Banana Leaf Disease Detection with Machine Learning Technique. DAFFODIL INTERNATIONAL UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY, 20(2), p.46.
6. Munny, I.J., Khan, S., Islam, M.A. and Majumder, A., Computer Vision Based Orange Disease Recognition. Available at SSRN 4463263.

• Machine learning
• Deep learning
• Computer vision
• Cyber security
• Artificial Intelligence

1. Research and Development Grant 2025-26, Ministry of Science and Technology (MoST).
2. National Science and Technology(NST) fellowship 2023-24, Ministry of Science and Technology (MoST).

• Graphic designer in Trimester Programming Contest, Department of CSE,  Jahangirnagar University (2020-2023)