Research & Publications
Journal articles, book chapters, ongoing research, conference papers, and academic thesis.
Published Journal Articles
Socio-ecohydrology, Land Use Changes, and Community Responses on Hatiya Island in the Ganges–Brahmaputra–Meghna Delta, Bangladesh
Authors: Md. Ashikur Rahman, Md. Minarul Hoque, Abu Sharif Md. Mahbub-E-Kibria, Md. Alamgir Hossain, MM Nahid Nur, Naimur Rahman, Sazzad Hossain, & Abdullah Al-Maruf
Journal: Regional Studies in Marine Science (Elsevier), Article 105531
Year: 2026
DOI PDF BibTeXTowards Green and Climate-Resilient Urbanization in Rajshahi City: Urban Growth Meets Climate Action in Northern Bangladesh
Authors: Md. Shafiul Alam, Md. Abdullah Al Mamun, Md. Ashikur Rahman, Rumana Sultana, Md. Salauddin, Naimur Rahman, Mst. Rebeka Sultana, & Mostofa Tarequl Ahsan
Journal: Chinese Journal of Urban and Environmental Studies (World Scientific)
Year: 2025
DOI PDF BibTeXBook Chapters
Leveraging AHP–Fuzzy Logic Model and Geoinformation Technology for Comprehensive Landslide Vulnerability Assessment: A Case Study in Hilly Districts of Bangladesh
Authors: Md. Rejaur Rahman, Md. Nuruzzaman, Swarnali Akter, & Naimur Rahman
Book: Advanced GIScience in Hydro-Geological Hazards
Publisher: Springer Nature
Year: 2025
DOI PDF BibTeXAccepted Papers
Ethnic Minorities in Multiple Socio-Ecological Risks: A Mixed-Methods Study for Measuring the Impacts of Heatwaves on Food Security and Health Among Santals in Northwest Bangladesh
Authors: Rahman, M. A., Rahman, N., Al-Masum, A., Jenkins, J. C., Al-Maruf, A.
Journal: Environmental and Sustainability Indicators (Elsevier)
Under Review
Living in Shoreland or Island? An Indicator-Based Assessment of Livelihood Resilience to Climate Change through Ecosystem Services in the Ganges–Brahmaputra–Meghna Delta of Bangladesh
Target Journal: Sustainable Futures (Elsevier)
Ongoing Research
Machine Learning and Deep Learning Approaches for Mapping Climate Change-Induced Rare Winter Wildfire Susceptibility in Los Angeles, California
A GeoAI-Based Multi-Hazard Susceptibility Assessment Framework Integrating Machine Learning, Deep Learning, Explainable Artificial Intelligence, and Uncertainty Quantification Across South Asia
Flood Susceptibility Mapping of Bangladesh Using Hyperparameter-Optimized Machine Learning and Deep Learning Ensembles: Spatial Block Cross-Validation, SHAP Explainability, and Predictive Uncertainty Assessment
Conference Papers
Urban Expansion, Heat Island Intensity, and Human Health in Rajshahi City: A Geospatial Analysis
Conference: Geosciences for Achieving Sustainable Development Goals (ICGSDG)
At: Faculty of Geosciences, University of Rajshahi, Rajshahi-6205, Bangladesh
Thesis
A GeoAI-Based Multi-Hazard Susceptibility Assessment Framework Integrating Machine Learning, Deep Learning, Explainable Artificial Intelligence, and Uncertainty Quantification Across South Asia
Department of Geography and Environmental Studies