Research

Research Overview

My research focuses on advancing seismic methods for subsurface characterization, with particular emphasis on passive seismic techniques and computational geophysics.

Basic Research

• Seismic data processing and imaging — Developing new algorithms and workflows for processing seismic data
• Ambient/passive seismic monitoring — Extracting useful signals from ambient seismic noise for subsurface imaging

Applied Research

• Ambient low-frequency OBN velocity model building — Using ocean-bottom node data for building velocity models from ambient noise
• Ambient seismic imaging for mining and O&G resources — Applications of passive seismic methods for resource exploration
• Multiphysics exploration — Integrating multiple geophysical methods
• DAS exploration — Distributed Acoustic Sensing applications in geophysics

Computing

• High Performance Computing (HPC) resource management — Managing computational resources for large-scale geophysical computations
• General Purpose GPU computing, CUDA — Leveraging GPU architectures for geophysical algorithms
• Madagascar software management — Contributing to reproducible computational geophysics
• DASCORE development team — Core developer of the Python library for distributed fiber optic sensing

Current Projects

Ultra-Low-Frequency Ambient Ocean-Bottom Seismology

Investigating the potential of ultra-low-frequency signals recorded on ocean-bottom nodes for subsurface imaging and characterization. This work explores new frequency bands that have traditionally been underutilized in exploration seismology.

Kīlauea Summit Velocity Modeling

Active-source tomography velocity modelling of the Kīlauea summit and surrounding area, contributing to our understanding of volcanic systems.

CO₂ Sequestration Monitoring

Time-lapse seismic monitoring using full waveform inversion for carbon capture and storage sites, helping to ensure safe and effective CO₂ sequestration.