• Supervised Machine Learning: Regression and Classification — Coursera, DeepLearning.AI, 2023–2024
• CSE Fundamental — Phitron.io, 2022–2024
  Covered Data Structures and Algorithms, Object-Oriented Programming, DBMS, AWS, and Machine Learning foundations.

• Data Structures — Theory and Laboratory
• Computer Graphics
• Software Quality Assurance (SQA)

Academic Responsibilities:

• Designing lecture materials, laboratory exercises, assignments, and assessments.
• Aligning course activities with course learning outcomes.
• Evaluating student performance and providing academic guidance.
• Mentoring undergraduate students.
• Participating in departmental academic and instructional activities.

Journal Articles

1. Sohel, A., Turjy, R. C. D., Paul, S. P., Assaduzzaman, M., Marouf, A. A., Rokne, J. G., & Alhajj, R. (2025). SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Machine Learning and Knowledge Extraction, 7(4), 157.
2. Sohel, A., Bijoy, M. H. I., Paul, S. P., Turjy, R. C. D., Othman, M., & Samad, M. A. (2026). JackVisualNet: A Fine-Tuned Hybrid Deep Learning Model for Jackfruit Disease Classification with Explainable AI. PeerJ Computer Science, 12, e3977.

Book Chapter

1. Bappy, S. P., Turjy, R. C. D., Mondal, A., Bithi, T., Bijoy, M. H. I., & Sohel, A. Evaluating Deep Learning Models and Explainable AI for Mushroom Classification. Taylor & Francis Group. Accepted for Publication.

Conference Publications

1. Bithi, S. A., Nur, F. N., Bappy, S. P., Moon, N. N., & Chakraborty, A. (2026). An Enhanced Hybrid Cipher with Vigenere and Dynamic Caesar with Key-Position Swapping for Secure Encryption. Proceedings of the 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN).
2. Paul, S. P., Turjy, R. C. D., & Sohel, A. A Hybrid Deep Learning Approach for Identifying Jackfruit Leaf and Fruit Disease. Proceedings of IEEE CS BDC Symposium 2024.
3. Turjy, R. C. D., Paul, S. P., & Sohel, A. A Hybrid Deep Learning Approach for Identifying Lyme Disease from Skin Rash Images. Proceedings of IEEE CS BDC Symposium 2024.

Research Papers Under Review / Submitted

• Federated Learning for Securing Healthcare Data: A Comprehensive Review on Privacy, Robustness, and Defense Mechanisms. Social Sciences & Humanities Open.
• DeepMed-A3Net: A Lightweight Edge-Deployable Backbone with Modality-Aligned Federated Learning for Fair and Efficient Heterogeneous Clinical AI. Neural Computing and Applications.
• Spatiotemporal Patterns and Machine Learning for Road Traffic Accident Prediction in Developing Countries: A Systematic Review with Implications for Bangladesh. Journal of Traffic and Transportation Engineering (English Edition).
• A Quantum-Inspired Hybrid DenseNet Framework with Imbalance-Aware Learning for MRI-Based Alzheim

• Deep Learning
• Computer Vision
• Explainable Artificial Intelligence (XAI)
• Healthcare Informatics
• Medical Image Analysis
• Agricultural Image Analysis
• Federated Learning
• Machine Learning
• Disease Detection and Classification
• Edge-Deployable AI
• Fair and Privacy-Preserving AI

Teaching Assistant

Department of Computer Science and Engineering
Daffodil International University
October 2025 – June 2026