I am a Research Associate in the Department of Civil and Environmental Engineering at Shahjalal University of Science and Technology (SUST), Bangladesh.

My work focuses on integrating hydrology, remote sensing, GIS, climate science, and GeoAI to support flood risk assessment, groundwater sustainability, and climate adaptation research.

• Hydrology & Water Resources
• Groundwater Modeling
• Flood Modeling & Flood Inundation Mapping
• Rainfall Prediction & Climate Change
• Remote Sensing & GIS
• LiDAR Processing
• UAV/Drone Mapping
• Earth Observation
• Geospatial Data Science
• GeoAI, Machine Learning & Deep Learning

• Flood Susceptibility Mapping of Sylhet City Corporation
• CMIP6-Based Rainfall Prediction and Bias Correction
• Machine Learning-Based CAPE Downscaling
• Groundwater Modeling using MODFLOW 6 and FloPy
• Flood Frequency Analysis using FLIKE and HEC-SSP
• Hydrologic Modeling using HEC-HMS
• Hydraulic Modeling using HEC-RAS, Delft3D, and SFINCS

• ArcGIS Pro
• ArcMap 10.8
• QGIS
• GeoLibre Desktop
• Google Earth Engine (GEE)
• SNAP

• PDAL
• CloudCompare
• LAStools
• WhiteboxTools

• OpenDroneMap (ODM)
• WebODM
• Agisoft Metashape
• Pix4D

• PostgreSQL / PostGIS
• GeoServer

• HEC-HMS
• HEC-RAS
• HEC-SSP
• EPA SWMM
• EPANET
• MODFLOW 6
• FloPy
• PMWIN
• ModelMuse
• FLIKE
• Delft3D
• SFINCS
• SDSM

• Python
• R
• MATLAB
• JavaScript (Google Earth Engine)
• Jupyter Notebook / JupyterLab
• Fortran (Learning)
• Julia (Learning)

• Scikit-Learn
• TensorFlow
• PyTorch

• Random Forest (RF)
• Support Vector Machine (SVM)
• Artificial Neural Networks (ANN)
• Convolutional Neural Networks (CNN)
• Long Short-Term Memory (LSTM)

• AutoCAD Map 3D
• Blender 4.5

B.Sc. in Civil & Environmental Engineering Shahjalal University of Science and Technology (SUST), Bangladesh

• Thesis: Climate Change Impact Assessment and Rooftop Rainwater Harvesting System (RWHS) Feasibility Analysis
• Research Focus: Hydrology, Groundwater, Climate Change, Remote Sensing

• Member, International Association of Hydrological Sciences (IAHS)
• Student Member, ASCE Environmental & Water Resources Institute (EWRI)

• Bengali (Native)
• English (Professional Working Proficiency)
• German (A1) – Certificate Program, Institute of Modern Languages (IML), SUST
• French (A1) – Certificate Program, Institute of Modern Languages (IML), SUST
• Spanish (Beginner, Self-Learning)

• NASA ARSET – Fundamentals of Remote Sensing (2026)
• IAH – Groundwater Matters for Cooperation and in Multilateral Processes (2026)
• SUST – Integrated Application of GIS and Remote Sensing (2022)
• ITN-BUET & SUST – Groundwater Protection and Sanitation Seminar (2022)

• Monitoring and Predicting Floods Using Earth Observations for Planning and Preparedness — NASA ARSET (2026)
• Hyperspectral Data for Land and Coastal Systems — NASA ARSET (2026)

• LinkedIn: https://www.linkedin.com/in/gd-barman
• ORCID: https://orcid.org/0009-0004-8226-7645
• ResearchGate: https://www.researchgate.net/profile/Gour-Barman

⭐ Hydrology | Groundwater | Flood Modeling | Hydrologic & Hydraulic Modeling | Remote Sensing | GIS | LiDAR | UAV Mapping | Climate Change | GeoAI