Si² Lab

The Structural & Infrastructure Intelligence Lab develops intelligent computational methods to support the analysis, management, and decision-making of civil structures, infrastructure systems, and the societies they serve.The lab’s research is organized around four interconnected thrusts:​

​i. Intelligent LLM-based agents that automate structural analysis and infrastructure management through interaction with engineering software and tools;

ii. System-level digital twins of infrastructure systems that integrate large-scale data into physics-based models;

iii. Life-cycle management that model deterioration, evaluate long-term safety, optimize inspections and maintenance strategies, with applications to bridges, ships, and transportation networks;

iv. Uncertainty quantification and optimization methods that support system reliability analysis, life-cycle analysis, community risk assessment , and life-cycle optimization. ​

​Together, these efforts aim to create intelligent systems that both enhance the efficiency of human engineers and advance the sustainability and resilience of infrastructure and communities.