Research findings, awards, publications, events, and the latest happenings from the GRIND Lab.
The GRIND Lab has been awarded a significant NSF grant to develop next-generation GeoAI models for wildfire risk assessment and community vulnerability mapping across the western United States. The project will integrate multi-source remote sensing, socioeconomic data, and physics-informed AI for near-real-time risk mapping.
PLACEHOLDER: Brief abstract or summary of the paper. This paper introduces a novel framework for responsible GeoAI that accounts for social equity in disaster risk modeling.
Lab members presented three papers at the American Association of Geographers Annual Meeting. Topics included GeoAI fairness, multi-hazard risk, and remote sensing for disaster response.
PLACEHOLDER: Congratulations to [student name] for receiving the Best Paper Award at the International Conference on Geographic Information Science (GIScience 2024).
PLACEHOLDER: The GRIND Lab is pleased to welcome [number] new PhD students joining in Fall 2025. Brief introduction to the new members and their research interests.
PLACEHOLDER: Dr. Bing Zhou was invited to present GRIND Lab's research on responsible GeoAI. Talk title: "PLACEHOLDER".
PLACEHOLDER: The GRIND Lab has established a new research collaboration with [partner institution] focused on multi-hazard risk assessment using GeoAI.
PLACEHOLDER: A new preprint from the GRIND Lab is now available on arXiv/ESSOAr. Brief summary of the paper's main contribution and key findings.
PLACEHOLDER: The GRIND Lab is actively recruiting motivated PhD students with backgrounds in geography, computer science, data science, or related fields. See the Apply page for details.
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