Huidae Cho is an Associate Professor and researcher with 26 years of experience specializing in water infrastructure modeling, system optimization, and flood risk assessment. He combines academic teaching in hydrology and hydraulics with two decades of hands-on geospatial software development, including long‑standing core contributions to GRASS GIS and Esri ArcGIS solutions. His work spans land surface and stormwater modeling, stochastic rainfall generation, high‑performance algorithms, and novel metaheuristics such as ISPSO developed during his doctoral research. At New Mexico State University he teaches advanced hydrologic courses while continuing to mentor open‑source projects and serve on GRASS's Project Steering Committee. Less obvious: he pairs deep theoretical analysis (e.g., analytical work on optimization benchmark functions) with practical system design for FEMA flood studies and enterprise geospatial products. Based in Las Cruces, he bridges rigorous research, applied engineering, and influential open‑source stewardship.
25 years of coding experience
15 years of employment as a software developer
Ph.D., Water Resources Engineering, Ph.D., Water Resources Engineering at Texas A&M University
GetOSM is an OpenStreetMap tile downloader written in Python that is agnostic of GUI frameworks.
Contributions:1 review, 85 commits, 1 PR in 10 months
downloaderpythonagnostictilegui
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