Advance the fundamental science in the assessment of natural and man-made hazards (e.g. earthquakes, landslides, liquefaction, sea-level rise, hazards in tailing dams, heap leach pads, coal ash facilities) through novel developments in performance-based and risk engineering.
We combine performance-based engineering, reliability, machine learning, and artificial intelligence tools with advanced numerical simulations, and novel experimental procedures to advance the fundamental understanding of the interaction between geo-hazards and geotechnical systems under extreme loading events and climate change stressors. The ultimate goal is to make infrastructure systems and cities more resilient, saving lives, and reducing economic losses. Additionally, we address the issues that have led to recent catastrophic worldwide failures in the mining industry.
Issues Involved or Addressed
Natural and man-made hazards, Geotechnical earthquake engineering,Advance numerical modeling and machine learning, performance-based design, risk engineering, mining geotechnics.
Methods and Technologies
Academic Majors of Interest
Preferred Interests and Preparation
Major(s) Civil Engineering: Computational science, Statistics, Material Science, Earth and atmospheric sciences: Background/interest in Natural hazards (earthquakes, landslides, liquefaction), man-made hazards (e.g. static liquefaction in tailing dams), Statistics, Machine Learning, Artificial Intelligence, Laboratory Experiments, Material Science.
Meeting Schedule & Location
- Civil and Environmental Engineering