Machine Learning Civil Engineer

SAMAN RABIEI

***********@***.*** 352-***-**** University of Florida, Gainesville, Florida, 32611

Key skills

• Geospatial Analysis (GeoAI)

• Hydrological Modelling

(HEC-RAS & EPANET)

• Remote Sensing

• Data Analysis (ML/DL)

• Arcmap (GISpro/QGIS)

• Python Programming

• Google Earth Engine

• AutoCAD/Civil 3D

• ETABS (Structure Design)

Education

Ph.D. (E.I.T)

Soil Science

Concentration in Hydrology

University of Florida

Gainesville, Florida, USA

December 2025

Master of Engineering

Civil Engineer

Water Resource Management

Sharif University of Technology

January 2020

Bachelor of Engineering

Civil Engineer

Ferdowsi University of Mashhad

September 2017

Profile

A multidisciplinary researcher with a strong foundation in Civil Engineering and advanced expertise in Hydrological Modelling, Remote Sensing, Satellite Image Processing, and GIS analysis. Skilled in applying data-driven methods (ML/DL) to large-scale geospatial and environmental datasets. Experienced in structural and roadway design using AutoCAD and Civil3D, with a proven ability to integrate engineering principles with innovative geospatial analytics. Machine Learning Scientist, AI, Weather, cutting edge, advanced machine learning, research-driven development, transformer-based architectures, diffusion models, physics-informed neural networks, prediction, precipitation, climate-sensitive modeling, multi-modal datasets, climate domains, numerical methods, large scale modeling pipeline, integrating machine learning models, PyTorch, neural network design, Bayesian statistics, Hydrology modeling, Hydraulic, python-based geospatial analysis, environmental data, satellite data, spatial modeling, google earth engine xarray, Environmental modeling, terrain analysis, NetCDF, Shapefile, Forecasting, Environmental Data Visualisation, Multi-source data fusion, Flood risk mapping, watershed modeling, urban hydrology, stormwater design, image segmentation, earth observation, keras, tensorflow, data scientists, python developer, spatial data infrastructure, raster processing, QGIS, ArcGIS, GISpro, remote sensing analysis, cuda, cudnn, tensorRT, generative AI, soil moisture, cloud computing platforms, Azure, tensor calculus, linear algebra, nonlinear dynamics, applied statistics, LLM, Career history

Research Assistant

January 2023 – December 2025

My Ph.D. research focuses on developing daily, high-resolution (100 m) multilayer soil moisture maps across the Continental U.S. by integrating satellite data, soil surveys, and in situ observations. I utilize a ConvLSTM-based deep learning framework to model complex, non-linear relationships between environmental covariates and soil moisture across the 0–100 cm profile. This approach enhances the accuracy of soil moisture nowcasting and forecasting, benefiting applications in precision agriculture, hydrology, and climate resilience.

Research Assistant

September 2017 – January 2020

During my Master’s in Civil Engineering, I developed a machine learning framework using Sentinel-1 and Sentinel-2 data for real-time soil moisture estimation. The project combined GIS analysis, satellite image processing, and in-situ data modelling. It enhanced my skills in geospatial analysis and AI-driven environmental applications. Senior Researcher

May 2019 – November 2019

As a senior researcher, I worked on a project at preserving Lake Urmia, a highly saline lake in western Iran, by analysing satellite imagery to monitor its area fluctuations. I automated the download of relevant Landsat 8 tiles and used GIS techniques to detect the lake’s surface extent. The project involved assessing the lake’s water volume in relation to nearby swamps to support environmental management efforts. H&H Modelling

Feb 2018 – January 2019

Experienced in hydrologic and hydraulic (H&H) modelling using HEC-HMS for watershed analysis and HEC-RAS (1D/2D) for river and floodplain modelling. Skilled in integrating models with GIS and Arc Hydro for terrain processing, watershed delineation, and result visualization. Proficient in using Python to automate workflows, process spatial and time- series data, and support model calibration and analysis. Capable of conducting flood risk assessments, stormwater management studies, and preparing clear technical documentation to support planning, design, and regulatory compliance. Bachelor Projects

January 2017 – September 2017

During my undergraduate studies, I completed two major projects in Reinforced Concrete Structures and Highway Engineering. In the structural project, I used ETABS to design and analyse a multi-story concrete building, focusing on load distribution and seismic resistance. For the highway project, I applied AutoCAD Civil 3D to design road alignments, profiles, and cross-sections.

References

Dr. Ebrahim Babaeian (Assistant Professor at University of Florida) *********@***.***

Dr. Ehsan Jalilvand (Researcher at NASA Goddard space flight center) *****.*********@****.***

Dr. Sabine Grunwald (Professor, Pedometric and GIS at University of Florida) ******@***.***

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