Combining active and passive wave-propagation physics with computational inversion to dynamically image sub-surface structures and monitor geohazards over time.
Focus: Center on structural dynamic imaging and risk management. By fusing physics-based wave-propagation modeling with advanced computational inversion, this pillar continuously tracks sub-surface physical transformations and pore-pressure dynamics over time.
Scope: High-resolution Full Waveform Inversion (FWI), active and passive data integration, wavefield numerical simulations, and automated forecasting for geological, civil, and environmental hazards.
Developing elastic and viscoelastic FWI algorithms to construct high-contrast velocity and density models of complex geological formations from multi-component seismic records.
Leveraging continuous ambient noise and induced seismicity to detect micro-fracture propagation, pore-pressure shifts, and stress field changes in real time.
Modeling 3D wave propagation in anisotropic and heterogeneous media to simulate seismic response under extreme geological and geotechnical scenarios.
Integrating physical wave-field metrics with probabilistic machine learning to assess fault reactivation risks, ground motion, and structural slope stability.