Author: hcho
-
CLAWRIM presented at AGU25
Ujjwal Marasini (PhD student), Madan Pokhrel (PhD student), Hari Shreesh (MS student), and I presented our projects at AGU25.
-
Elected as an OSGeo Charter Member
I have been elected as an OSGeo Charter Member. OSGeo Charter Members serve as the formal voting body of the Open Source Geospatial Foundation (OSGeo) and help guide the direction of major open-source geospatial projects worldwide. I am grateful to the community for the nomination and recognition, and I look forward to contributing to the…
-
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: and introduced our new pursuit on differentiable deep learning for a New Mexico county.
-
Abdullah published three GRASS addons
Abdullah Azzam has published three GRASS addons for hydrologic analysis: r.curvenumber, r.runoff, and r.timeofconcentration.
-
Presented at FOSS4G NA 2025
I gave two talks at FOSS4G NA 2025: “State of Growing GRASS” and “GRASS Meets Longest Flow Paths, Shortest Compute Times.”
-
CLAWRIM presented at the 2025 New Mexico Water Conference
CLAWRIM presented their projects at the 2025 New Mexico Water Conference. Nelson Kandel, Huidae Cho. A First Step Toward Quantum Routing of Shallow Water Flows. Jason Pena, Huidae Cho. Low-Cost Stereo Image Monitoring System for Ephemeral Streams. Dung Ho, Huidae Cho. Development of a Machine Learning Approach for Detecting Culvert Linear Features to Support Statewide…
-
CLAWRIM awarded two NM WRRI student grants
Madan Pokhrel was awarded an NM WRRI student grant for his project “Remote Sensing-Based Assessment of Groundwater-Induced Subsidence in the Mesilla Aquifer System in New Mexico.” Dung Ho was awarded an NM WRRI student grant for his project “Development of a Machine Learning Approach for Detecting Culvert Linear Features to Support Statewide Hydrologic and Hydraulic…
-
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.
-
A new paper on MELFP just published
A new paper on the Memory-Efficient Longest Flow Path (MELFP) algorithm is just published in Environmental Modelling & Software.
-
Keynote presentation at FOSS4G 2025 Kansai in Osaka, Japan
I’ll present a keynote speech “GRASS, Rebuilt – Toward Scalable Cyberinfrastructure for a New Era of Hydrologic Modeling” at FOSS4G 2025 Kansai on July 5, 2025 at 10:45am JST.