25.0000° N, 89.0000° E
AKHALIYA, SYLHET SADAR, BANGLADESH — 25.5206° N, 91.8687° E

MD. MOMINUL
ISLAM

GEOSPATIAL SCIENTIST · HYDRO-CLIMATE RISK RESEARCHER

I map where climate hazards, water systems, and communities intersect — combining GIS, remote sensing, and explainable machine learning to read risk into Bangladesh's floodplains, river basins, and coastlines.

11+Publications & Reviews
9Research Projects
2Degrees, SUST
1Country, Many Basins
Portrait of Md. Mominul Islam
FIG. 01 — FIELD PORTRAIT 25.5206°N / 91.8687°E
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Field Notes

About

I'm Md. Mominul Islam, a geographer and geospatial analyst from Sylhet, Bangladesh, currently finishing an MS in Geography and Environment at Shahjalal University of Science and Technology (SUST). My thesis reads the Teesta River Basin's shifting water balance through satellite data and explainable machine learning — part of a wider interest in how climate risk shows up on the ground, in river basins, seismic zones, wetlands, and coastal communities alike.

I currently work as a GIS Analyst (Water Modelling) at SPEKTER GmbH in Germany, building hydrological and hydraulic models with the MIKE suite and HEC-RAS. Alongside this, I keep an active research line in Bangladesh — earthquake risk, flood susceptibility, drought patterns, and climate-driven migration — usually with a spatial model at the center and a plain question behind it: who is exposed, and why.

Research Interest Layers
Machine Learning Algorithms
GIS & Remote Sensing
Disaster Management
Climate Risk & Vulnerability Assessment
Climate Change
Hydrological Modelling & Flood Risk
Academic Record

Education

Two degrees, one department — Geography and Environment at SUST.

2025 — 2026
MS in Geography and Environment (Mixed Mode)
Shahjalal University of Science and Technology, Sylhet, Bangladesh
CGPA 3.69 / 4.00
Thesis: Seasonal Water Paradox and Compound Hydroclimatic Risk Regimes in Bangladesh's Teesta River Basin — A Remote Sensing and Explainable Machine Learning Assessment.
Feb 2020 — Sep 2025
BSc in Geography and Environment
Shahjalal University of Science and Technology, Sylhet, Bangladesh
CGPA 3.62 / 4.00
Field Work

Experience

From spatial statistics on Bangladesh's seismic and flood risk, to production hydraulic modelling in Germany.

Sep 2025 — Present
GIS Analyst (Water Modelling)
SPEKTER GmbH, 91074 Herzogenaurach, Germany
Building and running hydrological and hydraulic models (MIKE suite, HEC-RAS) to support water-infrastructure and flood-risk decision-making.
Sep 2022 — Jul 2025
Research Assistant
Department of Geography and Environment, SUST, Sylhet, Bangladesh
Contributed to spatial-statistical and geospatial research on earthquake risk, river basin morphology, rainwater harvesting siting, and climate-driven migration — spanning most of the publication record below.
Instrument Panel

Skills

Tools I reach for, grouped by what they're for.

GIS & Remote Sensing

ArcGIS ProArcMap QGISGeospatial & Statistical Analysis

Hydrological & Hydraulic Modelling

MIKE ZeroMIKE FLOODMIKE 11 MIKE 21MIKE+MIKE SHE SMSCivil 3DHEC-RAS

Programming & Data Analysis

RPython Google Earth Engine (JS)Web Mapping

Graphics & Software

Adobe IllustratorAdobe Photoshop Microsoft Office Suite
LANGUAGES:English (Fluent)·Bengali (Native)
Field Log

Publications

Journal quartile shown as a signal badge — Q1 highest, Q3 lowest — the way a field instrument reads signal strength.

Research Articles
01
Islam, Md. M., & Kabir, Md. N. (2026). What Shapes Earthquake Risk in Bangladesh? Geospatial Insights from Physical and Social Factors Using a Spatial Meta-Regression Approach.
Earth Systems and Environment
02
Mostan, N., Kabir, Md. N., Hasan, Md. M., Islam, Md. M., & Islam, Md. A. (2026). Understanding morphological and hydrological changes in the Dhaleshwari River basin through remote sensing and GIS-based analysis.
International Journal of River Basin Management, 1–23
03
Kabir, Md. N., Hasan, M. N., Hridi, T. T., Islam, Md. M., Barua, E., Mostan, N., & Sayem, S. M. S. (2025). Optimizing Artificial Rainwater Harvesting in the Northwest Zone of Bangladesh: Integrated Machine Learning and a GIS-Based Multicriteria Approach.
Water Conservation Science and Engineering, 10(2), 56
04
Kabir, M. N., Sikder, M. B., Islam, M. A., Barua, E., Islam, Md. M., & Hridi, T. T. (2025). Geospatial assessment of climate driven migration in the southwest coastal region of Bangladesh.
Discover Geoscience, 3, 117
Book Chapter
05
Kabir, M. N., Sikdar, M. B., Hasan, M., & Islam, M. M. (2025). Earthquake Preparedness and Awareness among the People of Sylhet City. In N. Islam & A. Paul (Eds.), Sylhet Metropolitan: A Geographical Survey.
Centre for Urban Studies, Dhaka
Book Chapter
Conference Participation
06
Islam, Md. M.*, & Kabir, M. N. (2025). A Meta-Approach to Refining Earthquake Risk Zones in Bangladesh from Geophysical and Socio-Economic Perspectives.
1st International Conference on Geosciences for Sustainable Development Goals (ICGSDG), University of Rajshahi, Bangladesh — Abstract published
Manuscripts Under Review (11)
  • 01Islam, M. M., Ahmed, S., Nadim, M. M., Safa, N. R., Nayem, J., & Sani, M. S. S. — Spatial assessment of flood-induced eco-disaster vulnerability using ensemble machine learning in the Surma-Kushiyara Basin, Bangladesh. Discover Geoscience
  • 02Mostafa, Z. I. B., Islam, Md. M., Biswas, S., Kabir, Md. N., Hayakawa, Y. S., Ali, Md. Y., Islam, Md. A., & Terao, T. — Flash Flood Susceptibility Mapping in the Northeastern Haor Basin of Bangladesh Using Random Forest and XGBoost Models. Spatial Information Research
  • 03Siddika, T., Islam, Md. M., Azad, M. A. K., Kabir, M. N., Rahman, A., Kunda, M., Alam, A. K. M. R., & Islam, M. A. — A Review of Ecological Vulnerability in Bangladesh's Wetlands: Comparative Insights with Emphasis on Ratargul Swamp Forest. Wetland
  • 04Kabir, M. N., Islam, S., Sikder, M. B., Sayem, S. M. S., Barua, E., & Islam, Md. M. — Geospatial assessment of natural hazards risks in coastal Bangladesh: Focus on communities outside embankments in Barguna. Discover Geoscience
  • 05Kabir, M. N., Islam, M. A., Islam, Md. M.*, Hridi, T. T., Sakib, T. A., & Seum, A. B. A. — Spatiotemporal Seismic Hazard Assessment of Bangladesh Using Zero-Inflated and Regime-Based Probabilistic Models. Journal of GeoRisk
  • 06Kabir, M. N., Islam, M. A., Islam, Md. M.*, Afrose, T., Biswas, S., Barua, E., & Sayem, S. M. S. — Why monthly earthquake forecasting fails in low-seismicity regions? Insights from zero-inflated seismic records and b-value analysis in Bangladesh.
  • 07Sikder, M. B., Kabir, M. H., Kabir, M. N., Islam, M. M., Hayakawa, Y. S., Sabbir, S. H., Biswas, S., Kazi, M. F., Rupok, N. A., & Sakib, T. A. — Analyzing the Impact of Climate Change on Internally Displaced Persons in the Central Coast of Bangladesh. Journal of Geographical Systems
  • 08Islam, Md. Mohaimenul, Islam, M. A., Kabir, M. N., Tawsif, S., & Islam, Md. Mominul — How Effectively Can Multi-Criteria Models, Machine Learning, and Community Responses Capture Flood Risk in Dynamic Floodplains? Evidence from Bangladesh. Regional Environmental Change
  • 09Bhuyan, M. M. H., Islam, M. A., Kabir, M. N., Islam, M. M., Barua, E., Terao, T., & Hayakawa, Y. S. — Geospatial Identification of Flood-Induced Migration Hotspots in Northeastern Bangladesh Using Deep Learning.
  • 10Hridi, T. T., Kabir, Md. N., Islam, Md. M., Islam, Md. A., & Mahi, N.-U.-M. — Observation of Drought Patterns in Western Bangladesh through Satellite and Ground-Based Data: An Experimental Study (2014–2024). Discover Hazards
  • 11Kabir, M. N., Islam, M. M., Islam, M. A., Hridi, T. T., & Mahi, N.U.M. (2026) — Application of Artificial Intelligence in Geography: A Broad Review of Concepts, Methods, and Perspectives. Applied Spatial Analysis and Policy
Survey Status

Research Projects

What's mapped and ready, and what's still being surveyed.

Completed — ready to submit
  • Seasonal Water Paradox and Compound Hydroclimatic Risk Regimes in Bangladesh's Teesta River Basin: A Remote Sensing and Explainable Machine Learning Assessment.
  • Assessing Relative Irrigation-Dependence Stress in the Barind Tract, Bangladesh Using Remote Sensing, Spatial Validation, and Explainable Machine Learning.
  • Long-Term Changes in the Seismic Regime of Bangladesh Revealed by Energy-Based Analysis and Probabilistic Modelling.
  • Understanding Multi-Hazard Risks in a Changing Climate: A Review of Global Patterns, Drivers, and Impacts (2015–2025).
Ongoing
  • Climate Stress, Spatial Vulnerability, and Household Migration in Coastal Bangladesh: A Geospatial Study of Khulna, Satkhira, and Bagerhat.
  • Site suitability assessment for aquaculture development using geospatial analysis and environmental indicators.
  • Landscape feature extraction from multispectral satellite imagery employing remote sensing and image classification techniques.
  • Development of an ecosystem service index integrating biophysical and socio-environmental parameters.
  • Multi-Hazard Fragility Framework for High-Rise Buildings.
Beyond the Fieldwork

Leadership, Training & Awards

Leadership

  • President, Tangail Students' Association, SUST Feb 2024 – Mar 2025
  • General Secretary, YouthMappers at SUST Apr 2024 – Present
  • Asst. General Secretary, GEE Society, SUST Jul 2023 – Oct 2024

Courses & Training

  • R Programming for Data Analytics, Cognitive Solution Bangladesh Mar 2025
  • GIS Analysis with GeoPandas (Python), GeoDelta Labs Feb 2025
  • Programming with Python, EDGE IICT, SUST Dec 2024
  • ArcGIS Pro for Regional Planning, GEE Society, SUST Jul 2024

Awards

  • University Merit Scholarship, SUST Fall 2019 – Spring 2020

Let's talk about risk, water, or maps.

Open to collaboration on GIS, hydrological modelling, and climate risk research — or opportunities in geospatial analysis and disaster risk management.

References
Dr. Md. Anowarul Islam
Associate Professor, Dept. of Geography & Environment, SUST
anowar-gee@sust.edu
Md. Najmul Kabir
Assistant Professor, SUST · PhD Student, Hokkaido University
mdnajmul.kabir.v6@elms.hokudai.ac.jp