Abdullah Al-Mamun is a Lecturer in the Section of Computer Science, Department of Computing and Language, Habiganj Agricultural University (HAU), Habiganj, Bangladesh. He is actively engaged in teaching, academic development, and interdisciplinary research, with a strong interest in applying computational technologies to biological, agricultural, and data-driven research problems.
His primary research interests include Bioinformatics, Computational Biology, Machine Learning, Deep Learning, and Computer Vision. He is particularly interested in exploring how artificial intelligence, data analytics, and intelligent computational methods can be applied to biological data analysis, agricultural applications, image-based analysis, and decision-support systems.
As an academic, he emphasizes both fundamental computing knowledge and practical problem-solving skills, helping students develop competencies relevant to modern digital and technological environments. His teaching and research interests reflect an interdisciplinary approach that connects computer science with agriculture, biological sciences, and emerging technologies.
He is committed to continuous academic and professional development and aims to contribute to impactful research through the integration of artificial intelligence, computational biology, and intelligent data-driven approaches for addressing real-world scientific and agricultural challenges.
RESEARCH PROJECTS & GRANTS
Evaluation of Behavioral Responses of Riverine Small Indigenous Species (SIS) Fish to Agricultural Pesticide Exposure Using Automated Video Tracking ( Jul 2025–Jun 2026)
• Role: Principal Investigator (PI).
• Funding: University Grants Commission (UGC) and Habiganj Agricultural University Research System (HAURES).
• Project ID: 036 A.M./S&T 25-26 HAURES.UGC.
Enhancing Crop Yield Prediction Using Historical Data and Machine Learning (Jul 2024–Jun 2025)
• Role: Principal Investigator (PI).
• Funding: University Grants Commission (UGC) and Habiganj Agricultural University Research System (HAURES).
• Project ID: 022 AM/S&T 24-25 HAURES.UGC.
PEER-REVIEWED PUBLICATIONS
- Siddik, M. A., Al-Mamun, A., Siddiki, M. H., Chakraborty, B., & Zohora, K. F. T. (2025). Geospatial Distribution of Tea Estates in Bangladesh: A Cartographic Gestalt. Journal of Agroforestry and Environment, 18(2), 102-115.
