• Ph.D., Jahangirnagar University (Continue)
• M.Sc. from University of Duisburg-Essen, Germany, 2018
• B.Sc. from University of Chittagong, 2009

1. Mathematics for Machine Learning: Linear Algebra, Awarded by Coursera.
2. Creative Self-management Skills, University of Duisburg-Essen, Germany.
3. Network Management & Monitoring, Awarded by University Grants Commission, Bangladesh.
4. Compatia’s Linux+ Certification, Awarded by New Horizon’s Bangladesh.
5. ITE Instructor Training 2020 (Cisco Networking Academy),  American International University Bangladesh.
6. University rules and regulations, SmartEdu, IT facilities and Email Etiquette, DIU.
7. Using ERP for Advising, Mentoring and Counseling
8. Student Mentoring Strategies for a Positive Teaching Environment
9. Effective Brainstorming and Mind Mapping Technique for Teaching Success

IoT, Data Science, Machine Learning,  Research Methodology

Journal Articles

1. Sagor, Saifuddin et al. “LXViT: a hybrid hierarchical CNN-ViT framework for lemon leaf disease classification with multi-method explainable AI integration”. In: Scientific Reports (2026).
2. Ahamed, Tanzir et al. “MXene-enhanced perovskite solar cells: Unveiling the superior performance of Mo2TiC2 as an advanced electron transport layer”. In: Materials Science and Engineering: B 325 (2026). 119077.
3. Billah, Md Masum et al. “Agri-Vision Bangladesh: A Multi-Crop Augmented Image Dataset for Automated Disease Diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato.”. In: Data in Brief (2026). 112528.
4. Bithi, Ashiful Nahar et al. “A Hybrid YOLO–SE Attention Based Deep Learning Framework for Robust Weapon Detection in Surveillance Imagery”. In: Engineering Reports 8 (2026). p. 70736.
5. Islam, M Humayet et al. “Explainable machine learning-interpreted numerical analysis of CsSnBr 3 perovskite solar cells with diverse electron transport layers”. In: Materials Advances 7.10 (2026). pp. 5271–5289.
6. Billah, Md Masum, Saifuddin Sagor, and Mohammad Shorif Uddin. “Explainable Hybrid Multi-branch CNN–ViT–GNN Framework for Robust Hibiscus Leaf Disease Classification”. In: Scientific Reports 6.8 (2026). p. 2400662.
7. Billah, Md Masum, Saifuddin Sagor, and Mohammad Shorif Uddin. “Hybrid EfficientViT-Fusion with Generative Augmentation for Robust Papaya Disease Recognition”. In: Scientific Reports (2026). [Accepted]
8. Gope, Hira Lal et al. “Automated defective green coffee bean image classification using deep learning for quality enhancement and market competitiveness”. In: AIMS Agriculture and Food 10.4 (2025). pp. 962–983.
9. Islam, Md Ariful et al. “Unlocking Educational Excellence: Leveraging Federated Learning for Enhanced Instructor Evaluation and Student Success”. In: Available at SSRN 5210724 (2025).
10. Billah, Md Masum, Saifuddin Sagor, and Mohammad Shorif Uddin. “A comprehensive combined dataset on Hibiscus and Tea plant leaf disease images for classifications.”. In: Data in Brief (2025). p. 112357.
11. Billah, Md Masum et al. “Stock price prediction: comparison of different moving average techniques using deep learning model”. In: Neural Computing and Applications 36.11 (2024). pp. 5861–5871.
12. Billah, Md Masum et al. “Leaf disease detection using convolutional neural networks: a proposed model using tomato plant leaves”. In: Neural Computing and Applications 36.32 (2024). pp. 20043–20053.
13. Sultana, Azmery et al. “Applications of IoT-Enabled Smart Model: A Model For Enhancing Food Service Operation in Developing Countries”. In: Journal of Applied Engineering and Technological Science (JAETS) 5.2 (2024). pp. 1123–1141.
14. Bhuiyan, Mohammad Nuruzzaman et al. “Design and implementation of a feasible model for the IoT based ubiquitous healthcare monitoring system for rural and urban areas”. In: IEEE Access 10 (2022). pp. 91984–91997.
15. Rahman, Mahfujur et al. “Grading system prediction of educational performance analysis using data mining approach”. In: Malaysian Journal of Science and Advanced Technology (2022). pp. 204–211.
16. Rahman, Mahfujur et al. “Political Fake News Detection from Different News Source on Social Media using Machine Learning Techniques”. In: AIUB Journal of Science and Engineering (AJSE) 21.2 (2022). pp. 110–117.
17. Bhuiyan, Mohammad Nuruzzaman et al. “Internet of Things (IoT): A review of its enabling technologies in healthcare applications, standards protocols, security, and market opportunities”. In: IEEE Internet of Things Journal 8.13 (2021). pp. 10474–10498.
18. Billah, Md Masum, Mohammad Nuruzzaman Bhuiyan, and Md Akterujjaman. “Unsupervised method of clustering and labeling of the online product based on reviews”. In: International Journal of Modeling, Simulation, and Scientific Computing 12.02 (2021). p. 2150017.
19. Billah, Md Masum, Dr Tobias Hecking, and Prof Dr Ulrich Hoppe. “Using Archived Comments on Learning Videos as a Resource for Question Answering”. In: International Journal of Scientific and Research Publications 8 (2018). pp. 438–450.

Conference Proceedings

1. Billah, Md Masum, Azmery Sultana, and Mohammad Shorif Uddin. “Design and Implementation of Feasible Model for Water Drowning Detection System”. In: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. pp. 1–6.
2. Billah, Md Masum, Azmery Sultana, and Mohammad Mizenur Rahaman. “An Optimized IoT-Based Real-Time Categorized Smart Waste Management System”. In: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. pp. 1–6.
3. Billah, Md Masum et al. “Custom Residual Networks and Transfer Learning: Tea Leaf Disease Detection”. In: 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). IEEE, 2025. pp. 1–6.
4. Billah, Md Masum, Sultana Azmery, and Mohammad Shorif Uddin. “Hybrid Bankruptcy Prediction: A Risk Management Approach for Investors”. In: 2025 28th International Conference on Computer and Information Technology(ICCIT). IEEE, 2025. pp. 1–6. 
5. Ahmed, Faruk et al. “DMX: A Weighted Softmax Fusion of Heterogeneous CNNs for Burmese Leaf Disease Classification”. In: 2025 28th International Conference on Computer and Information Technology(ICCIT). IEEE, 2025. pp. 6–12.
6. Billah, Md Masum et al. “Deep Facial Recognition: Unraveling Kinship Patterns Among Strangers Using CNN”. In: 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS). IEEE, 2024. pp. 1–9.
7. Singha, Ashutus et al. “Integrating IoT-Based Smart Irrigation Systems to Optimize Crop Yield and Water Management for Sustainable Agriculture”. In: Proceedings of the 3rd International Conference on Computing Advancements. 2024. pp. 123–130.
8. Anannya, Nusrat Jahan et al. “User Clustering-based Redundant Handover Mitigation in Ultra-dense Cellular Networks”. In: Proceedings of the 3rd International Conference on Computing Advancements. pp. 15–21.
9. Billah, Md Masum et al. “Analyzing The Effect of COVID-19 on Mental Health based on Bangladeshi University Students”. In: Proceedings of the 2nd International Conference on Computing Advancements. pp. 44–52.

Book Chapters

1. Billah, Md Masum et al. “Electronic Project-Based Learning (ePBL): A Web-Based Prototype to Support Online Learners”. In: Proceedings of the 7th International Conference on Sustainable Technologies for Industry 5.0 (STI) 2025. Taylor & Francis, 2025. pp. 65–71.
2. Billah, Md Masum et al. “Concept network using network text analysis”. In: Natural Language Processing and Information Retrieval. CRC Press, 2023. pp. 191–208.
3. Bhuiyan, Mohammad Nuruzzaman et al. “IoT based health monitoring system and its challenges and opportunities”. Springer, 2022. pp. 403–415.

• Machine Learning
• Deep Learning
• Computer Vision
• IoT

Sept 2024 – Dec 2024 ] Adjunct Faculty, Assistant Professor
Daffodil International University (DIU).

Sept 2019 – Sept 2024 ] Full Time, Assistant Professor
American International University Bangladesh (AIUB).

Apr 2013 – Oct 2016 ] Full Time, WordPress Plugin Developer
UserMeta Pro.