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arshahvaran/README.md

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Ali Reza Shahvaran (He/Him), MSc GitHub followers Profile Views

PhD Student in Civil Engineering @ University of Toronto

โ„น๏ธ About

As a civil and environmental engineer and current PhD student at the University of Toronto, I am driven by a passion for leveraging artificial intelligent to solve complex environmental challenges. Building on over five years of combined research and industry experience, my work integrates water resources management, hydrologic (water-energy nexus) modeling to advance climate change adaptation and environmental monitoring.

Drawing on my foundation in Earth sciences as an alumnus of the University of Waterloo, I combine deep expertise in remote sensing, GIS, and data science to bridge the gap between traditional engineering and cutting-edge geo-hydroinformatics. Leveraging advanced certifications in machine learning and proficiency in Python, MATLAB, and R, I build robust, data-driven solutionsโ€”ranging from predictive models to decision-support tools. I actively welcome new research collaborations, as I remain deeply committed to sustainability and am always eager to connect with forward-thinking teams and organizations making a measurable impact on our environment.

๐Ÿ”Ž Research Interests

  • ๐Ÿ’ง Water Resources Management | Hydrologic/Hydraulic Modeling | Water Quality Monitoring & Modeling
  • ๐Ÿ›ฐ๏ธ Environmental Remote Sensing & Geographic Information Systems (GIS)
  • ๐ŸŒ Climate Change Impact Assessment
  • ๐Ÿ–ฅ๏ธ Artificial Intelligence (Machine Learning & Deep Learning) in Environmental Sciences | Geo-Hydroinformatics

๐ŸŽ“ Education

  • PhD in Civil Engineering | Expected 2030
    University of Toronto
  • MSc in Earth Sciences - Water | 2024
    University of Waterloo
  • MSc in Civil Engineering - Environmental | 2021
    Iran University of Science and Technology
  • BSc in Civil Engineering | 2018
    Persian Gulf University

๐Ÿ› ๏ธ Developed Software & Tools

Year Tool Description Access Link Preview
2026 Text Studio
Ali Reza Shahvaran
A single-page text workbench that analyzes, transforms, and stylizes text, generating fancy Unicode fonts, academic notation, ASCII art, encodings, and exportable word clouds. Open Text Studio preview
2026 DEM 3D Studio
Ali Reza Shahvaran
An interactive studio for rendering a WGS84 elevation GeoTIFF as a true-scale 3D terrain block, with hypsometric color ramps, sun lighting and hillshade, distance and point measurement, and export to PNG, JPG, SVG, PDF, and OBJ. Open DEM 3D Studio preview
2026 CartoLab
Ali Reza Shahvaran
An interactive studio for exploring how the spherical Earth is projected onto a flat map, supporting projection morphing, distortion visualization through Tissot indicatrices, and great-circle distance measurement. Open CartoLab preview
2026 Color Model Studio
Ali Reza Shahvaran
A color management workbench for defining and converting colors across the HSV, HSL, RGB, and CMYK models, with palette generation and exportable code in Python, MATLAB, and R. Open Color Model Studio preview
2026 Peirce Quincuncial Map Studio
Ali Reza Shahvaran
A cartographic tool that renders longitude and latitude inputs as a styled square Peirce quincuncial world map, exportable in PNG, JPG, SVG, and PDF formats. Open Peirce Quincuncial Map Studio preview
2026 Linear Regression Cost Explorer
Ali Reza Shahvaran
An educational tool that illustrates least-squares fitting of a regression line and the iterative search performed by gradient descent toward the minimum-error solution. Open Linear Regression Cost Explorer preview
2026 Ternary Diagram Simulator
Ali Reza Shahvaran
A plotting utility that maps three-component compositions onto a triangular ternary diagram, with display in either percentages or fractions. Open Ternary Diagram Simulator preview
2024 Western Lake Ontario Chlorophyll-a Online Visualizer
Ali Reza Shahvaran, Homa Kheyrollah Pour, Caren Binding, Philippe Van Cappellen, Moulik Budhiraja
An interactive web map presenting satellite-derived chlorophyll-a concentrations across western Lake Ontario, hosting the 2013 to 2023 Landsat dataset from the published study at https://doi.org/10.1016/j.scitotenv.2025.178881. Open Western Lake Ontario Chlorophyll-a visualizer preview

โš™๏ธ Technical Skills

Python ย  Scikit-Learn ย  NumPy ย  R ย  MATLAB ย  Jupyter ย  Pandas ย  Matplotlib ย  Git ย  Visual Studio Code ย 

๐ŸŒ Socials

X ย  LinkedIn ย  Google Scholar ย  ResearchGate ย  ORCID ย  LeetCode ย  Hugging Face ย  Kaggle

๐Ÿš€ Coding Stats

ย GitHubย  GitHub Stats

ย LeetCodeย  LeetCode Stats

ย ๐Ÿ”ฅ Coding Streak

ย ๐Ÿ’ป Language Breakdown

๐Ÿ“Š Contribution Model

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  1. text_studio text_studio Public

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  2. dem_3d_studio dem_3d_studio Public

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  3. cartolab cartolab Public

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  4. color_model_studio color_model_studio Public

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  5. peirce_quincuncial_map_studio peirce_quincuncial_map_studio Public

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  6. linear_regression_cost_explorer linear_regression_cost_explorer Public

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