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Huidae Cho

Associate Professor, Civil Engineering

Regular Faculty

Hernandez Hall 230,

3035 S Espina St, Hernandez Hall Room 202,

Las Cruces, NM 88003

hcho@nmsu.edu

575-646-5377

Website

Huidae Cho is an associate professor of civil engineering and leads the Computational Lab for Advanced Water Resources Informatics and Modeling (CLAWRIM) at New Mexico State University. His research integrates artificial intelligence with hydrologic modeling, focusing on deep learning for flood inundation modeling, hybrid models for dam operation simulations, groundwater level prediction with machine learning, Convolutional LSTM-based snow water equivalent prediction, data-driven streamflow forecasting, and machine-learnig-based canopy classification. He co-developed and teaches an AI-driven module “Flood Inundation Modeling Using Machine Learning for Sustainable vs. Resilient Design” (Cho et al., 2024). Cho is also involved in open-source development and NSF-funded initiatives to enhance research infrastructure for computational water resources.

Expertise

  • Machine Learning
  • College
  • Engineering and Hydrology
  • Hydrologic modeling
  • Deep learning
  • Flood modeling
  • Hydrologic forecasting
  • Open-source software
  • Geospatial analysis
  • Computational hydrology

Profile Links

Awards

  • N/A

Accordion

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The Details block displays a text summary and an arrow button: When you click on the text or the button, the block opens and reveals additional content on the page. This block can be open by default.


To complete the details block content :

  1. Create a new component with your content
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The Details block displays a text summary and an arrow button: When you click on the text or the button, the block opens and reveals additional content on the page. This block can be open by default.


To complete the details block content :

  1. Create a new component with your content
  2. Create an instance of the details block
  3. Replace the property “details content” of this instance by your new content component.