We aim to enhance the resilience and adaptation of civil infrastructure and communities subject to extreme events by promoting data-driven, computational and AI-enabled paradigms.
In recent decades, urban built environments have experienced substantial infrastructure damage, economic losses, and societal disruptions due to extreme events (natural hazards).
To better chateractize the complex perfomance of critical infrastructure under rare, high-impact events, we advance computational modeling and AI-aided surrogate modeling approaches. We further contribute to risk, reliability and resilience assessment by developing uncertainty quantification, probabilistic inference and rare-event simulation techniques. The overarching objective is to support performance-based design, optimization, planning, and risk-informed decision-making of resilient infrastructure under natural hazards.
Our applications span structures, civil infrastructure and coastal communities exposed to hurricanes and windstorms, floods, and earthquakes.
📢 Fully funded PhD positions are available beginning in Fall 2026! Please see Join for details.
NEWS
[Mar 2026] 🎉Yu Xia was awarded the Maverick Merit Fellowship from UT Arlington. Congratulations!
[Feb 2026] 🎤Dr. Xu delivered an invited talk at NHERI GSC General Meeting.
[Feb 2026] 👏Yu Xia will be joining Xu Lab in Fall 2026. Welcome Yu!
[Feb 2026] 📃Two abstracts were accepted by EMI 2026. See you at Boulder, CO!
[Feb 2026] 📃Two extended abstracts were accepted by CWE 2026. See you at London, Canada!
[Feb 2026] 📃One abstract was accepted by CSM9. See you at Corfu, Greece!
[Jan 2026] 🎉Dr. Xu has been selected as the recipient of the ASCE SEI Young Professional Scholarship!
[Jan 2026] 🎉Dr. Xu joined the Department of Civil Engineering at UT Arlington as an Assistant Professor!
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