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DSAEC Distinguished Lecture: “Modeling Our Built Environment: Re-Thinking How We Design and Build”

Presented by Dr. Fernanda Leite, The University of Texas at Austin

Date: Time: 1:00 pm–2:00 pm
Peter Kiewit Institute Room: 250
Contact: Lily Wang, (402) 554-2065, lilywang@unl.edu
The architecture, engineering, construction, and facility management (AECFM) industry has been experiencing many changes since inexpensive networked, mobile computing devices have become ubiquitous. We have also significantly benefitted from learning and working across our traditional disciplinary boundaries. With the rising amount of information and data generated in the life cycle of capital projects, information modeling and data interoperability have become a critical element in design, engineering, construction, and maintenance of capital facilities. Recent advances in building information modeling (BIM) have the potential to address a number of these pressing challenges. The objective of this talk is to discuss challenges and ongoing research in BIM – more broadly information modeling – including: automated BIM upkeep (i.e., LivingBIM); virtual reality for design review; BIM-related legal and contractual factors; and data integration for climate and community resilience.

Dr. Fernanda Leite, P.E., is an Associate Professor in the Cockrell School of Engineering at the University of Texas at Austin. She holds the John A. Focht Centennial Teaching Fellowship in Civil Engineering. She is the past Chair of a University-wide Bridging Barriers research initiative called Planet Texas 2050. Dr. Leite served as Associate Editor of the journal Automation in Construction. Her built environment research program sits at the interface of engineering and computing. Most of her work has been in building and infrastructure systems information modeling, Scan-to-BIM, and circular economy in the built environment. At UT-Austin, Dr. Leite teaches courses on Building Information Modeling, Project Management and Economics, Construction Safety, and Sustainable Systems Engineering.

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