Job title:
Assistant Professor
Bio/CV:
Weiqiang Zhu (Way-Chyang)
My research focuses on understanding earthquake physics and statistics by applying cutting-edge artificial intelligence and scientific computing methods to gain new insights from large seismic datasets.
Machine Learning/Deep Learning for Geophysical Signal Discovery
- Applying deep learning to detecting hidden earthquake signals from large seismic datasets to understand complex earthquake sequences and fault zone structures.
- Applying cloud computing to large-scale data mining to build high-resolution earthquake catalogs for studying earthquake ricks, volcanic activities, glacier evolution, etc.
Earthquake Simulation and Seismic Inversion for Understanding Earthquake Physics
- Applying earthquake simulation to analyze multiphysics couplings within fault zones such as fluid, permeability, friction, and other mechanical properties.
- Applying automatic differentiation to improve geophysical inversion and constrain key physical parameters such as earthquake source parameters and the Earth’s interior structures.
Role:
