HazardWeave is an AI-supported disaster intelligence platform integrating geospatial evidence, hazard information, and intelligent decision support in a unified environment for disaster monitoring and emergency response.
2023–2026
Examining climate-related environmental health disparities in overburdened Texas Gulf Coast communities through geospatial analysis, environmental observations, and community-level data.
2023–2026
Developing cyberinfrastructure and geospatial workflows to support multiscale research on human dynamics, disaster resilience, and spatially intensive data analysis.
2025–2026
A geo-contextual multimodal framework that generates geographically coherent landscape imagery from environmental soundscapes using Diffusion Transformers.
2022–2024
Applying geospatial big data and artificial intelligence to disaster resilience research with an emphasis on socially vulnerable communities and community-level risk.
2020–2023
Integrating machine intelligence, human information, and geospatial analysis in a disaster digital-twin framework designed to support urban flood resilience.
2019–2022
Developing microdata and causal models to understand human impacts from flash flooding and support improved disaster mitigation, preparedness, and resilience planning.
Selected publications highlighting research in GeoAI, disaster response, spatial data science, and geospatial intelligence.
Interested in research collaboration or joining the GRIND Lab? We welcome inquiries from prospective students, researchers, and collaborators.