Arslaan Khalid

Research Scientist - Flood Risk at The Water Institute

Washington DC-Baltimore Area United States
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Summary

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Arslaan Khalid is a research scientist and coastal data scientist with nine years of experience building flood risk and real-time flood forecasting systems for estuaries and coastlines. He blends coastal and riverine engineering expertise—ADCIRC, Delft3D, HEC-RAS and FEMA mapping—with advanced data science skills in machine learning, computer vision, and big-data automation to extract flood-relevant features from satellite and street-level imagery. His work spans academic research and industry delivery, from developing high-resolution unstructured meshes and cloud-parallel hydrodynamic models to deploying citizen-science-enabled flood monitors for the Chesapeake Bay. Notably, he has applied semantic segmentation to infer building first-floor elevations and density for urban flood risk assessments, turning imagery into actionable hazard metrics. Based in the Washington DC–Baltimore area and currently at The Water Institute, he repeatedly combines novel modeling approaches with production automation to accelerate flood risk decision-making.
code9 years of coding experience
job4 years of employment as a software developer
bookBachelor of Engineering (BE) Civil Engineering, Bachelor of Engineering (BE) Civil Engineering at National University of Sciences and Technology (NUST)
bookDoctor of Philosophy - PhD Civil Engineering - Water Reources Engineering, Doctor of Philosophy - PhD Civil Engineering - Water Reources Engineering at George Mason University
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Stats
11reputation
129reached
0answers
1question
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Github Skills (32)

forecast9
gfortran8
gcc8
oracle-cloud8
intel8
wsl27
redhat7
html6
openmp6
virtualbox6
google-maps6
windows6
javascript6
ansible-collections6
ubuntu6

Programming languages (4)

JavaScriptMATLABFortranPython

Github contributions (5)

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Contributions:2 PRs, 5798 pushes in 1 year 10 months
ArslaanK/Python_Scripts

Apr 2018 - Jun 2025

Contributions:68 pushes, 1 branch in 7 years 3 months
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