Gave an AI talk to the NMSU Engineering Advisory Council

I presented AI for Large-Scale Hydrologic Modeling at the NMSU Engineering Advisory Council Meeting. My talk highlighted the lab’s recent and ongoing research that bridges AI and hydrologic modeling. I covered:

• Statewide forest classification for Georgia using ensemble machine learning models (Random Forest and Extra Trees) with 60cm NAIP imagery,
• Snow water equivalent prediction using ConvLSTM deep learning models for Northern New Mexico,
• County-wide culvert detection for Doña Ana County using YOLO-based computer vision with topographic data, and
• AI-driven hydrologic education through the HydroLearn module Flood Inundation Mapping Using Machine Learning for Sustainable vs. Resilient Design.

and introduced our new pursuit on differentiable deep learning for a New Mexico county.