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Projects

Research projects across the geohazard risk chain — from susceptibility to early warning, and from prospective modeling to retrospective analysis.

Prospective Modelling

Susceptibility

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Integrated AI–Physics Solutions for Regional Landslide Susceptibility (Prosp.)

Hazard

Hazard Characterization of Fast-Moving Landslide Runout with Geospatial Deep Learning

Vulnerability

Assessment of Infrastructure Vulnerability to Slow-Moving Landslides

Risk

Submarine Debris Flow Hazard Characterization and Risk Assessment (Prosp.)

Risk Assessment via Direct Simulation of Pre- to Post-Failure Behaviors (Prosp.)

Early Warning

Deep Learning for Time-Series Prediction and Dynamic Early Warning

Retrospective Analysis

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Unveiling the Underappreciated Consequences of Landslides across the United States with Generative AI

An agentic generative-AI framework that extracts and synthesizes diverse web sources to capture the full range of direct and indirect landslide impacts.

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