Computational Solutions for Water Resources
Our comprehensive experience in hydrologic & hydraulic modeling, Geographic Information System (GIS) algorithms, and software development will bring new insights to the fields.
Hydrologic & Hydraulic Modeling
GIS Algorithms
Ongoing Projects
NMDOT Culvert Asset Management Program (CAMP) (Cortes, Cho)
- Statewide Culvert Capacity Analysis
- Development of an Early Flood Warning Framework
NSF Dynamics of Integrated Socio-Environmental Systems (DISES) (NMSU, etc.)
- Water and Community Resilience Through Spatial Integration of Ecohydrological Processes and Traditional Sociocultural Knowledge
- Water Availability Analysis Using SWAT
NSF Pathways to Enable Open-Source Ecosystems (POSE) (NCSU, NMSU, ASU, Yale)
- Phase II: Growing GRASS OSE for Worldwide Access to Multidisciplinary Geospatial Analytics
Past Projects
DOE NETL PARETO (Cho, EnergyMakers Advisory Group)
- Leveraging PARETO for Rare Earth Element/Critical Mineral (REE/CM) Recovery from Produced Water and Seismicity Response Optimization
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MIDAS C library, Python and R packages, and QGIS plugin released
The Memory-Efficient I/O-Improved Drainage Analysis System (MIDAS) is now available as a C library, and as Python and R packages, as well as a QGIS plugin.
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Fall 2025 PhD student position in surface water and groundwater interaction modeling
We invite applications for a funded PhD student position focused on surface water and…
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Call for papers: Advances in Hydroinformatics for Water Data Management and Analysis, Volume II
Drs. Dan Ames, Gustavious Williams, Xiaohui Qiao, and I are running a Special Issue…
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Call for papers: Big Data and Machine Learning in Hydrology: Recent Advances and Trends
I call for papers for a Special Issue of the Hydrology journal “Big Data…
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A new paper on MELFP just published
A new paper on the Memory-Efficient Longest Flow Path (MELFP) algorithm is just published…
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Keynote presentation at FOSS4G 2025 Kansai in Osaka, Japan
I’ll present a keynote speech “GRASS, Rebuilt – Toward Scalable Cyberinfrastructure for a New…
“All models are wrong.”

George Box
A British Statistician