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Md. Rezuanul Islam Fahim, Ph.D. (as in Bangla মোঃ রেজওয়ানুল ইসলাম ফাহিম)
Md. Rezuanul Islam Fahim, Ph.D. (as in Bangla মোঃ রেজওয়ানুল ইসলাম ফাহিম)
Project Assistant Professor
Project Assistant Professor
Department of Civil Engineering, The University of Tokyo
Department of Civil Engineering, The University of Tokyo
Japan
Japan
E-mail: fahimislam[at]g.ecc.u-tokyo.ac.jp
Research Interest
Research Interest
The vision of my research is “Data-Driven Disaster Analytics for Societal Resilience.” My work encompasses hydrometeorological hazard, risk, and disaster resilience analysis, early warning systems, and environmental and climatological big data analysis. I specialize in integrating cutting-edge engineering research (e.g., computational methodologies) with basic science (e.g., statistical/data science) to tackle societal issues (e.g., improve hydrometeorological disaster prediction and decision-making).
The vision of my research is “Data-Driven Disaster Analytics for Societal Resilience.” My work encompasses hydrometeorological hazard, risk, and disaster resilience analysis, early warning systems, and environmental and climatological big data analysis. I specialize in integrating cutting-edge engineering research (e.g., computational methodologies) with basic science (e.g., statistical/data science) to tackle societal issues (e.g., improve hydrometeorological disaster prediction and decision-making).
I employ a holistic approach across the disaster cycle, combining physics-based engineering models, computational analysis, and social science insights, including community engagement and policy analysis. My interdisciplinary efforts aim to enhance societal resilience to hydrometeorological hazards by developing scalable decision-support tools rooted in big data and social indicators. These tools are designed to address the impacts of anthropogenic climate change and the increasing frequency of disasters affecting vulnerable populations, contributing to a safer and more sustainable world.
If you have an interest in any of the fields mentioned above and are open to collaborate, please feel free to reach out!
I employ a holistic approach across the disaster cycle, combining physics-based engineering models, computational analysis, and social science insights, including community engagement and policy analysis. My interdisciplinary efforts aim to enhance societal resilience to hydrometeorological hazards by developing scalable decision-support tools rooted in big data and social indicators. These tools are designed to address the impacts of anthropogenic climate change and the increasing frequency of disasters affecting vulnerable populations, contributing to a safer and more sustainable world.
If you have an interest in any of the fields mentioned above and are open to collaborate, please feel free to reach out!
Profession
Profession
2025/05: Project Assistant Professor, Department of Civil Engineering, The University of Tokyo [Link] [Link ]
2021/12-2025/04: Project Researcher, Department of Civil Engineering, The University of Tokyo [Link]
Working Project title: Control Theory of Weather-Society Coupling Systems for Supporting Social Decision-Making funded by Japan Science and Technology Agency (JST) and Cabinet Office (CAO)
2020/9-2021/3: Research Intern, Atmosphere and Ocean Research Institute, The University of Tokyo
2014/9-2015/3; 2015/10-2016/8: Geographic Information System Assistant, Asian Disaster Preparedness Center (ADPC), Bangladesh
2015/4-2015/9: Fellow, ActionAid Bangladesh
Education
Education
2021/9: Ph.D., Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology (current name: Institute of Science Tokyo), Japan
2018/9: MEng., Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology (current name: Institute of Science Tokyo), Japan
2014/8: Bachelor of Urban and Regional Planning, Department of Urban and Regional Planning, Chittagong University of Engineering and Technology, Bangladesh
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Links
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