Ph.D. in Geography and the Environment (Concentration: Flood risk assessment)

Department of Geography and the Environment, The Univesity of Alabama, USA

Dissertation Title: Towards a More Comprehensive Flood Risk Assessment Using Machine Learning Models: Four Case Studies Along the U.S. Gulf Coast.

Advisors: Dr. Wanyun Shao

M.Sc. in Geography and Environment (Concentration: GIS and Remote Sensing)

Department of Geography and Environment & GIS, Jagannath University, Bangladesh

B.Sc. in Geography and Environment

Department of Geography and Environment, Jagannath University, Bangladesh

Postdoctoral Fellow, Risk Decision Making Lab

Department of Geography and the Environment, The University of Alabama, USA

Research project: To Serve the Underserved: Identifying and Reaching Vulnerable Communities in Experimental FIM Areas

Funded by National Oceanic and Atmospheric Administration (NOAA) under Cooperative Institute for Research to Operations in Hydrology (CIROH)

Graduate Research Assistant, Risk Decision Making Lab

Department of Geography and the Environment, The University of Alabama, USA

Research project: Exploring Decision-Makers’ and Public Risk Perception and Information Seeking Behaviors Related to Water Quantity in the Southeastern U.S.

Funded by National Oceanic and Atmospheric Administration (NOAA) under Cooperative Institute for Research to Operations in Hydrology (CIROH) project #NA22NWS4320003

Graduate Teaching Assistant

Department of Geography and the Environment, University of Alabama, USA

Graduate Research Assistant, Risk Decision Making Lab

Department of Geography and the Environment, The University of Alabama, USA

Research project: Integrating multi-scale observations, machine learning and systems modeling for coastal Monitoring, Assessment, and Prediction (Coast-MAP) in the context of multiple stresses

Funded by Department of Treasury Project #A22-0297

Graduate Council Fellow

Department of Geography and the Environment, The University of Alabama, USA

GIS Assistant

Geo-Planning for Advanced Development (GPAD), Dhaka, Bangladesh

Research Assistant

Mohammad Abdul Quader Research Group, Department of Geography and Environment, Jagannath University, Dhaka

Flood Risk Modelling, Social Vulnerability, LULC, Machine Learning

Dey, H., Haque, M. M., Shao, W., VanDyke, M., & Hao, F. (2024). “Simulating flood risk in Tampa Bay using a machine learning driven approach”. npj Natural Hazards, 1(1), 1-16. doi:10.1038/s44304-024-00045-4 [pdf]

Dey, H., Shao, W., Haque, M. M., & VanDyke, M. (2024). “Enhancing Flood Risk Analysis in Harris County: Integrating Flood Susceptibility and Social Vulnerability Mapping”. Journal of Geovisualization and Spatial Analysis, 8(1), 19. doi:10.1007/s41651-024-00181-5 [pdf]

Dey, H., Shao, W., Moradkhani, H., Keim, B. D., & Peter, B. G. (2024). “Urban flood susceptibility mapping using frequency ratio and multiple decision tree-based machine learning models”. Natural Hazards, 120, 10365-10393. doi:10.1007/s11069-024-06609-x [pdf]

Dey, H., Shao, W., Pan, S., & Tian, H. (2023). “The Spatiotemporal Patterns of Community Vulnerability in the US Mobile Bay from 2000–2020”. Applied Spatial Analysis and Policy, 17, 371–392. doi:10.1007/s12061-023-09549-4 [pdf]

Tabassum, A., Basak, R., Shao, W., Haque, M. M., Chowdhury, T. A., & Dey, H. (2023). “Exploring the relationship between land use land cover and land surface temperature: a case study in Bangladesh and the policy implications for the Global South”. Journal of Geovisualization and Spatial Analysis, 7(2), 25. doi:10.1007/s41651-023-00155-z [pdf]

Quader, M. A., Dey, H., Malak, M.A., & Rahman, Z. (2023). “A geospatial assessment of flood hazard in north‐eastern depressed basin, Bangladesh”. Singapore Journal of Tropical Geography, 44(2), 277-299. doi:10.1111/sjtg.12476 [pdf]

Quader, M. A., Dey, H., Malak, M.A., & Sajib, A. M. (2021). “Rohingya refugee flooding and changes of the physical and social landscape in Ukhiya, Bangladesh”. Environment, Development and Sustainability, 23(3), 4634-4658. doi:10.1007/s10668-020-00792-0 [pdf]

Haque. M., Shao, W., Dey, H. “Exploring the influence of stakeholders' opinions on the selection and weighting of social vulnerability variables in flood risk management.” This article is under review in the International Journal of Disaster Risk Reduction

Begum, S., Putul, U.A., Malak, M.A., Dey, H., Shao, W. “Evaluating LULC Transformation and Its Socioeconomic Effects on Payra Seaport Development: A SWOT Perspective” This article is under review in Environment, Development and Sustainability.

Dey, H., Haque. M., Shao, W., VanDyke., M, Hao., F. “Simulating Flood Risk in Tampa Bay Using a Machine Learning Driven Approach”. This abstract has been accepted for a paper presentation at”. AAG Annual Meeting 2025, Detroit, MI, U.S.A., March 24-28, 2024.

Dey, H., Shao, W. “Toward a more comprehensive assessment of flood risk: Mapping flood susceptibility and social vulnerability” this paper was presented in Lightning Talks at 2023 CIROH Training and Developers Conference, Salt Lake, UT, U.S.A., May 16-18, 2023.

Dey, H., Shao, W. “Toward a more comprehensive assessment of flood risk: Mapping flood susceptibility and social vulnerability” This paper was presented at AAG Annual Meeting 2023., Denver, CO, U.S.A., March 23-27, 2023. [ Link ]

Dey, H., Shao, W. Moradkhani, H., Keim, B.D., Peter, B.G. “Comparing Flood Susceptible Zones with Public Perceived Flood Risk Areas in the City of New Orleans” Paper was presented at the AWRA 2022 Spring Conference, Tuscaloosa, AL, U.S.A. April 25-27, 2022.

Dey, H., Haque. M., Shao, W., VanDyke., M, Hao., F. “Simulating Flood Risk in Tampa Bay Using a Machine Learning Driven Approach”. This poster was presented at AGU 2024 Annual Meeting, Washington, D.C., U.S.A., December 09-13, 2024.

Dey, H., Shao, W. “Crowded in High Flood Risk Zones: Assessing Flood Risk in Tampa Bay Using A Machine Learning Driven Approach”. This poster was presented at ALWRC Meeting 2024, Orange Beach, AL, U.S.A., September 04-06, 2024.

Quader, M. A. and Dey, H., 2020. Impact of Rohingyas on the vegetation cover at Kutupalong Camp in Ukhiya, Cox’s bazar, Bangladesh. This poster was presented at International Virtual Conference on Young Researchers’ Overseas Day 2020, Brussels, Belgium, 15 December 2020. (Virtual)

Guest Lecturer

GY 552 - Environment Decision Making [Syllabus] Section: How to measure flood susceptibility, social vulnerability, and flood risk.

Lab Instructor

Lab GY 101- Atmospheric Process & Pattern [Syllabus]

The International Teaching Assistant Program (ITAP) training on Teaching Methods (TM), administered by the English Language Institute (ELI), University of Alabama

Outstanding Graduate Research Award (PhD category) from the Dept. of Geography and the Environment, The University of Alabama ($200).

Dr. Bobby Wilson Award from the Dept. of Geography and the Environment, The University of Alabama ($250).

Second place Award of the American Water Resources Association (AWRA) 2022 Spring Conference Paper Competition.

Travel Grant Fellowship from Cooperative Institute for Research to Operations in Hydrology (CIROH) at the University of Alabama ($2000)

Travel Grant Fellowship from the University of Alabama ($1200)

CIROH Training and Developers Conference Travel Scholarship ($1500).

Travel Grant Fellowship from the University of Alabama ($1000).

Graduate Council Fellowship (GCF) (2021-2022) award from the Graduate School of The University of Alabama ($52,326).

National Science and Technology (NST) Fellowship Award (2020-2021) for MSc. thesis, Ministry of Science and Technology, Bangladesh ($700). [Link]

Second place Award on “Photography contest” in the BAPA BEN 4th International Conference on Bangladesh Environment (ICBEN), December 2020.

The Duke of Edinburgh’s International Award, Bangladesh (Bronze Standard). September 2018.

First place Award on “World Environment Day-2017 Photography Competition “organized by Geography and Environment department, Jagannath University, Bangladesh. June 2017.

Google Earth Engine, ERDAS Imagine

ArcMap, ArcGIS Pro, QGIS, Drone2Map

SPSS, Excel

Python, JavaScript, R

Adobe Photoshop CS, Adobe Lightroom

Google Sites, HTML

Processing satellite and remote sensing data