Times are displayed in (UTC-06:00) Central Time (US & Canada) Change
143 T42. A Showcase of Student Research in Geoinformatics and Data Science (Posters)
Session Chairs:
Tao Wen, Anirudh Prabhu, Samuel Shaheen, Shanan Peters, Mir Md Tasnim Alam, C. Brenhin Keller, Kerstin Lehnert
Students are invited to present original research posters relevant to geoinformatics and data science, including geospatial analysis, machine learning, big data, modeling, and visualization. Posters will be judged for divisional awards.
Author Availability:
3:30–5:30 p.m.Presentations
| Booth No. | Paper No. | Title | Presenting Author | Action | 24 | 143-1 | Machine Learning Framework for Enhanced Post-Wildfire Debris Flow Prediction Across California Fire Events: Integrating Temporal Dynamics and Advanced Geomorphological Parameters | Subash Poudel | View | 25 | 143-2 | Statistical Discrimination of Volcanic Rock Units using Handheld Spectrometer Devices | William Grant | View | 26 | 143-3 | Testing the efficacy of machine learning regression algorithms in predicting geochemical marine redox changes from the mid-Paleoproterozoic to the Holocene. | Maya Thompson | View | 27 | 143-4 | Rapid Flood Monitoring Using Sentinel-2A Satellite Data and Machine Learning: Insights from the 2025 Kerr County Flooding Event, Texas | Mohammad Sohail | View | 28 | 143-5 | Climate Scenario Modeling, DEMs, and Electrical Resistivity Tomography at Frozen Lake: Investigating Water Availability for Mount Rainier National Park in an Alpine Environment | Douglas Dunn | View | 29 | 143-6 | Determining Potential Sources of Lithium Enrichment in Smackover Formation Brines in the Ark-La-Tex Region | Chinwendu Agbaetuo | View | 30 | 143-7 | Mapping of Rare Earth Elements and Tectonic Controls in the Arabian Shield, Saudi Arabia | Saad Alabbasi | View | 31 | 143-8 | Hazy Data, Clearer Cities: Modeling Urban PM2.5 Pollution with Machine Learning and Multisource Data | Jada Macharie | View | 32 | 143-9 | Automating Modal Abundance Analysis Methodologies for Fast and Accurate Phase Classification | Shelby Clark | View | 33 | 143-10 | Benthic Macroinvertebrate Community Responses to Varying Intensities of Oil and Gas Development in the Marcellus Shale Formation | Ryan Olivier-Meehan | View |
|---|
A Showcase of Student Research in Geoinformatics and Data Science (Posters)
Description
Date and Time: Monday, 20 Oct - 8:00 AM (Central Time (US & Canada))
Room: HBGCC, Hall 1
Session Type: Poster: Topical
Session Format: Poster
Author Availability: 3:30–5:30 p.m.
Back to Session Gallery