Shaping the future of smart, resilient, and sustainable infrastructure through AI and systems engineering!
AI4RISE Lab is dedicated to driving intelligent, resilient, and sustainable infrastructure through artificial intelligence, advanced materials, and systems engineering. Our focus is on delivering practical, high-impact solutions that enhance structural performance, improve multi-hazard resilience, and minimize environmental impact.
Lead global innovation in resilient infrastructure engineering by harnessing AI, advanced materials, and systems engineering to create infrastructure systems that are smarter, safer, and durable through interdisciplinary collaboration.
The overarching goal of AI4RISE Lab is advancing the sustainability, resilience, and adaptability of civil infrastructure systems under extreme events, such as earthquakes, floods, and other climate-driven hazards—by synergistically integrating traditional engineering approaches (experimental investigations, analytical modeling, and high-fidelity numerical simulations) with advanced materials research and cutting-edge AI techniques (machine learning, deep learning, transfer learning, generative AI, physics-informed machine learning, explainable AI, and multi-objective optimization) within a systems engineering framework.
Establish AI-powered, performance-based design frameworks through a systems engineering approach to enhance efficiency and adaptability in structural systems.
Develop systems engineering frameworks using AI-driven analyses under multi-hazard scenarios to quantify vulnerabilities and guide risk-informed decisions.
Optimize low-carbon materials and lifecycle strategies via AI-guided multi-objective algorithms and systems engineering analyses to minimize embodied carbon without sacrificing durability and performance.
Build AI-enabled platforms grounded in systems engineering principles to empower engineers and policymakers to select materials, assess risks, and plan resilient infrastructure under uncertainty.
Apply systems engineering methods and predictive analytics to evaluate advanced composites (FRP, FRCM, SRG, SMAs, titanium alloys) for strengthening and extending the life of existing infrastructure.
Integrate 3D printing and AI-optimized fabrication within a systems engineering framework to create next-generation structural components with improved resilience.
A few notable achievements in research, funding, and impact.
We collaborate with researchers from leading institutions and industry partners to drive innovation in resilient infrastructure.
Promoting a multidisciplinary, inclusive environment where students, researchers, and collaborators work together to tackle real-world infrastructure challenges.
Upholding the highest standards of ethical conduct, transparency, and accountability in research, mentoring, and professional practice.
Pursuing impactful, high-quality research through rigor, innovation, and continual learning to advance the frontiers of civil and computational engineering.