Focus on improving the performance and longevity of coastal protection systems—including rock dikes, levees, and embankments—under the challenges of sea-level rise, hurricanes, and storm surges, to support climate-resilient infrastructure development.
Investigating how field sensors, remote sensing, and computer vision can be applied to monitor deformation, erosion, and failure mechanisms in geotechnical structures. This includes developing data-informed frameworks for early warning and adaptive maintenance of coastal and infrastructure systems.
Integrating machine learning, agentic AI, and computational modeling with a unified geotechnical data platform that aggregates soil properties, CPT/SPT data, laboratory tests, and case histories to support uncertainty-aware and performance-based geotechnical engineering.
Exploration of environmentally sustainable soil stabilization approaches such as Microbial Induced Calcite Precipitation (MICP) and other bio-mediated or low-carbon methods for enhancing soil strength and erosion resistance.
Investigation of foundation behavior, slope stability, and embankment performance under varying subsurface and loading conditions, emphasizing data-informed evaluation and predictive design for transportation and coastal infrastructure.