Masters of Science in Computer Science and Engineering,
East West University, Dhaka-1212.

Bachelor of Science in Computer Science and Engineering,
Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200.

• Monthly Training: Edpuzzle and Online Course Creation” by HRDI, 2024
• HRDI teachers training , Daffodil International University-2024.
• Android Application Development Training program hosted by ICT division, HSTU-2018.

• Programming and Problem Solving
• Data Structure
• Operating System
• Machine Learning and Data Mining
• Digital Image Processing

Journal

1. M. S. Shakil, M. Z. Hasan, M. J. Zobair, F. Alam, S. Choudhury, “A semi-supervised prototypical learning approach for liver fibrosis staging in ultrasound imaging”, Healthcare Analytics (Q1, Impact Score: 9.53), Volume 9, 2026, 100464, ISSN 2772-4425, https://doi.org/10.1016/j.health.2026.100464.
2. M. J. Zobair, R. T. Orpa, M. Asef, S. M. T. Siddiquee, N. R. Chakraborty and A. Habib, “A light-weight and generalizable deep learning model for the prediction of COVID-19 from X-ray images”, International Journal of Electrical and Computer Engineering (Q3, cite score: 2.3), August 2024, Vol-14, No-4, doi: http://doi.org/10.11591/ijece.v14i4.pp4068-4077.

Conference

1. M. J. Zobair, M. A. Rahman, M. S. Hossain, N. Khan, M. A. A. K. Akash and M. H. I. Bijoy, "A Hybrid ViT-GRU Model for Breast Cancer Detection: Addressing Class Imbalance Challenges," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: 10.1109/ECCE64574.2025.11013095.
2. A. A. Tusa, M. J. Zobair, T. Mehraz, M. Ashef, R. T. Orpa and M. Arifuzzaman, “CatForest: Deep Contextual Sentiment Modeling for Mental Health Detection from Social Media”, Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA2025), Advances in Intelligent Systems Research, pp. 371-384, doi: 10.2991/978-94-6239-664-7_26.
3. M. F. Islam, M. J. Zobair, M. Afroz, S. Faysal, J. F. Karobi, “Advancing Automated Malaria Detection: A Comparative Study of VGG16 and ResNet50 with Weighted Cross-Entropy Loss Function”. (Accepted and presented in IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence and Networking (QPAIN 2026)).
4. M. Hasan, M. J. Zobair, S. Akter, M. Ashef, N. Akter and N. B. Sadia, "Ensemble Based Machine Learning Model for Early Detection of Mother's Delivery Mode," 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ECCE57851.2023.10101558.
5. M. H. I. Bijoy, N. Khan, A. A. K. Akash, M. M. Rahman, A. R. Annoy, and M. J. Zobair “Automated Agricultural Pests Identification using Convolutional Neural Network-based Transfer Learning”, International Conference on Big Data, IoT and Machine Learning (BIM 2023), Machine Learning for Healthcare Informatics, Book Chapter: 16, doi: https://doi.org/10.1201/9781032650715

Book Chapter

1. M. J. Zobair, S. Das, M. Hasan, “An Ensemble Machine Learning Approach to Predicting CO2 Emission Rates: Evidence from Denmark's Energy Data Service”, Machine Learning Technologies on Energy Economics and Finance, International Series in Operations Research & Management Science, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-031-95099-5_12.

• Machine Learning
• Deep Learning
• Medical Imaging
• Computer Vision

1. Merit Scholarship 2024, funded by EWU, Dhaka on the basis of academic results in M.Sc.
2. Dean’s list award 2019, funded by HSTU, Dinajpur on the basis of academic results in B.Sc.
3. Secondary School awards-2013.
4. Primary School awards-2007.

• Lecturer (Contractual), Department of Computer Science and Engineering, Daffodil International University, Dhaka (January 2023 – December 2023)
• Lecturer (Full-time), Department of Computer Science and Engineering, German University Bangladesh, Gazipur-1702 (June 2021-December 2022)