Modeling the Built Environment: From Information to Resilient Futures

Abstract:

The built environment is undergoing rapid transformation driven by advances in computation, sensing, and data integration—while facing increasing pressures from climate change, urbanization, and resource constraints. As infrastructure systems grow in complexity, the challenge is no longer simply generating data, but modeling and translating information into actionable knowledge that supports resilient and regenerative futures. This talk presents research at the intersection of engineering and computing that advances information modeling across the lifecycle of buildings and infrastructure systems. I will discuss three interconnected thrusts: automated BIM upkeep through reality capture and machine learning (LivingBIM); immersive visualization and extended reality technologies to enhance design review and stakeholder engagement; and digital twins with AI-enabled scenario generation to support equitable climate adaptation, including community-engaged resilience modeling in Southeast Texas. Together, these efforts move beyond static models toward dynamic, community-informed information infrastructures that enable circular economy principles, decarbonization in project delivery, and long-term resilience in the built environment.

Bio:

Fernanda Leite is the Interim Vice President for Research and Joe J. King Professor in Civil Engineering at The University of Texas at Austin. An expert in Building Information Modeling (BIM), construction engineering, and resilient systems engineering, her research explores the integration of 3D modeling and artificial intelligence (AI) to create sustainable and adaptable infrastructure. As Associate Dean for Research in the Cockrell School of Engineering, Dr. Leite helped launch major interdisciplinary initiatives in semiconductors, quantum science, robotics and AI. She has also led cross-campus efforts, including the Planet Texas 2050 grand challenge.