// hydroinformatics · geospatial · deep learning
Raidan
Bassah
Hydroinformatics & Geospatial Specialist
I integrate spatial data, remote sensing, physically based hydrological models, and deep learning to analyze and forecast water and climate processes — with a focus on data-scarce, conflict-affected regions.
01. About
I am a hydroinformatics and geospatial specialist with a multidisciplinary background spanning civil engineering, machine learning, and environmental data science. My work sits at the intersection of water systems science and computational methods, focusing on how data-driven and process-based approaches can address real-world water challenges.
My MSc research at IHE Delft applied ConvLSTM deep learning to spatiotemporal water level forecasting in the Florida Everglades — work that has since been published in the Journal of Hydrology. Alongside, I co-authored a study on historical water and agriculture governance published in Agricultural Water Management.
In my current role at the Sana'a Center for Strategic Studies, I build geospatial data pipelines and interactive visualizations to analyze extreme environmental events and hydrologically-linked displacement patterns in Yemen and the wider GCC region — work that connects hydrology directly to conflict and humanitarian research.
I am actively seeking PhD opportunities in hydroinformatics, water security, or machine learning for earth systems — particularly where geospatial methods can help understand water dynamics in data-scarce settings.
02. Publications
MAIN AUTHOR · Q1 JOURN
Forecasting water levels using the ConvLSTM algorithm in the Everglades, USACO-AUTHOR · Q1 JOURNAL
Historical Change of Water and Agriculture Practices and Regulatory Frameworks in Yemen03. Work experience
- Designing data processing pipelines to extract and structure large volumes of environmental event data from Yemen and the GCC region.
- Developing interactive maps and statistical visualizations of extreme hydrological events for research and policy audiences.
- Building automated geospatial archiving systems using Python and SQLite.
- Collaborating with conflict researchers to analyze hydrologically-linked displacement patterns.
- Conducting systematic literature reviews on extreme events in Yemen and surrounding regions.
- Designed workflows to assess hydrological extremes and environmental variability at multiple scales.
- Built automated hydrological models and 3D interactive simulations for stakeholder communication.
- Conducted terrain and hydrological analyses to guide planning in climate-impacted, agriculture-heavy regions.
- Modeled flash floods and groundwater depletion using large-scale environmental and climate datasets.
- Gathered remote sensing and in-field data; performed data cleaning and statistical analyses.
- Integrated satellite imagery and modeling for agricultural flood and drought risk assessment.
- Used statistical trend analysis to detect land and water anomalies.
04. Research projects
2023 · MSc Thesis · IHE Delft
ConvLSTM Water Level Forecasting — Everglades, USA
Developed spatiotemporal deep learning models integrating remote sensing, time series, and in-situ hydrological data to predict water level dynamics using ConvLSTM networks.
2021 · Research Project · Yemen
Early Flood Warning System — Sana'a Basin
Applied CNN models to forecast daily rainfall, emphasizing physical-hydrological relevance in training data selection and exploring extreme event detection for early warning signals.
2019 · BSc Thesis · Sana'a University
Hydraulic Connectivity — Groundwater-Surface Water, Sana'a Basin
Studied multi-layered interactions between surface and groundwater systems using numerical simulations to understand extreme recharge and discharge scenarios.
05. Technical skills
GIS & Remote Sensing
- ArcGIS, QGIS, Google Earth Engine
- FME, Remote Sensing
- Spatiotemporal analysis
- ERA5, TRMM, CMORPH, GPM
- GIS development & mapping
Hydrological Modelling
- HEC-RAS, HEC-HMS, SWAT
- Lisflood
- Numerical modelling
- Flood & drought modelling
- Groundwater assessment
Machine Learning & Python
- ConvLSTM, LSTM, CNN, ANN
- Transformer architectures
- TensorFlow, PyTorch
- Pandas, NumPy, SciPy
- GDAL, GeoPandas
Computing & Data
- HPC — Snellius supercomputer
- PostgreSQL, MySQL, SQLite
- Microsoft Azure, AWS
- Parallel computing
- Data pipeline engineering
Education & certifications
MSc Water and Sustainable Development — Hydroinformatics profile
IHE Delft Institute for Water Education · The Netherlands
Thesis: Applying ConvLSTM Algorithm to Forecast Water Levels in the Everglades, USA
Fellowship: IHE Delft MENA-CD (full tuition + stipend)
BSc Civil Engineering
Sana'a University · Yemen
Project: Hydraulic Connectivity in the Sana'a Basin — Groundwater-Surface Water Interaction
CERTIFICATIONS
References
Dr. Biswa Bhattacharya
Head of the Hydroinformatics Department
IHE Delft Institute for Water Education
b.bhattacharya@un-ihe.org
MSc thesis supervisor · co-author
Dr. Musaed Aklan
Senior Researcher — Water & Environment
Sana'a Center for Strategic Studies
musaedaklan@gmail.com
Current direct manager
06. Contact
Let's connect
I am open to PhD positions, research collaborations, and specialist roles in hydroinformatics, geospatial data science, or water systems. Feel free to reach out.