Hello, I am Ohahidur Zaman. I aspire to build a meaningful academic career as a Lecturer in Computer Science and Engineering, where I can combine my passion for teaching, research, and innovation to inspire the next generation of computer scientists and engineers. With a strong academic foundation and research experience in Artificial Intelligence, Machine Learning, Deep Learning, Explainable AI, Computer Vision, and Medical Image Analysis, I strive to create an engaging and inclusive learning environment that encourages curiosity, critical thinking, creativity, and lifelong learning.
My research focuses on developing intelligent and explainable AI solutions for real-world healthcare challenges, particularly in disease prediction and medical image analysis. I am committed to advancing research in emerging fields such as Artificial Intelligence, Deep Learning, Explainable AI (XAI), Computer Vision, Healthcare Informatics, Data Science, and Intelligent Decision Support Systems, while promoting interdisciplinary collaboration that bridges academia and industry.
Beyond research, I believe in integrating modern technologies, project-based learning, and practical problem-solving into the classroom to prepare students for both higher education and the rapidly evolving technology industry. I am dedicated to mentoring students in their academic, research, and professional development, encouraging innovation, ethical computing, and continuous self-improvement.
Through excellence in teaching, impactful research, and active academic service, I aim to contribute to the advancement of computer science education and cultivate graduates who are skilled, responsible, and capable of addressing the technological challenges of the future.
Master of Science (M.Sc.) in Computer Science and Engineering
Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
Bachelor of Science (B.Sc.) in Computer Science and Engineering
Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
Higher Secondary Certificate (HSC)
Collectorate School and College, Rangpur, Bangladesh
Group: Science
Secondary School Certificate (SSC)
Collectorate School and College, Rangpur, Bangladesh
Group: Science
Lecturer
Department of Computer Science and Engineering
Teesta University, Rangpur, Bangladesh
Research Assistant / Graduate Researcher
Department of Computer Science and Engineering
Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
Research Areas
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning
- Explainable Artificial Intelligence (XAI)
- Computer Vision
- Medical Image Analysis
- Healthcare Informatics
Research Projects
- Enhancing Retinal Disease Classification Using ResNet and EfficientNet: A Hybrid Deep Learning Approach
- Predictive Modeling of Gestational Diabetes Mellitus: A Comparative Study of Machine Learning Approaches
Journal Articles
Zaman, O., Halder, P., Islam, M. S., Rahman, S. R., Shakil, S., Kamarudin, N. S., Islam, M. S., & Al Mamun, M. A.
Cross-Language Evaluation of Sorting Algorithms on Varied Dataset Structures: A Comparative Study.
Journal of Computer Languages.
Conference Papers
Zaman, O., Tasnim, R., & Jahan, I.
An Explainable Ensemble Learning Approach for Gestational Diabetes Prediction.
Presented at the 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2025), Gazipur, Bangladesh, June 27–28, 2025.
Under Review
Zaman, O.
Enhancing Retinal Disease Classification Using EfficientNetB3 and ResNet50: A Dual-Backbone Transfer Learning Approach.
Submitted to the European Journal of Computer Sciences and Informatics (Manuscript No. EJCSI-2026-05-033).
Scholarship and Award
Teaching and Supervision
Research Interest
