Hello CEIE MS and PhD students,
The CEIE department is interviewing a potential full-time faculty member to start this coming Fall in structural engineering. Details below. I highly encourage CEIE grad students to attend his seminar tomorrow and provide feedback to me immediately after the seminar via email. This will also count as a CEIE 795/CEIE 800 seminar if you attend and provide a seminar summary like usual.
Infrastructure Data Analytics: From Information Extraction to Behavior Characterization
Mohamad Alipour, Ph.D.
University of California, Los Angeles
Tuesday, May 4th 2021 from 5:00 PM – 6:00 PM
The scale and complexity of the challenges facing built infrastructure systems have underscored the role of automation in future smart cities. A primary prerequisite of this pursuit is to create high-fidelity digital replicas of engineered assets known as Digital Twins. However, such digitized representations are currently extremely rare for existing assets and environments, but their widespread adoption and enrichment seems all but an inevitable technological necessity in the coming decades. Realizing this vision relies on the synergistic integration of core civil engineering expertise with computer vision, structural sensing, and deep machine learning. This vision employs these emerging tools for information extraction from raw big data, but will also use them to power the predictive models that replicate the behavior of engineered assets.
This talk focuses on how these tools help solve data-intensive problems in the built and natural environments in the face of data availability, scalability, and quality challenges. First, a series of solutions for automated structural inspection are presented while accounting for scalability in the face of raw data proliferation. This includes the use of inexpensive alternative data sources and the application of semi-supervised learning techniques. The talk will also include a brief discussion of the ongoing work on geospatial data harnessing to leverage decades of research in earthquake engineering and risk management to address the growing threat of wildfires. Finally, the talk will conclude with future works in each of these directions and toward the vision of digital twinning of future cities.
Mohamad Alipour is a postdoctoral researcher in the CEE Department at UCLA. He received his Ph.D. in Civil Engineering from University of Virginia, and his research focuses on the use of applied machine learning and computer vision for information extraction and data analytics in the natural and built environments. His work has been published in top-tier peer-reviewed journals and conference proceedings. He is a recipient of the 2020 Young Professional Award and 2018 O.H. Ammann Fellowship in Structural Engineering from the Structural Engineering Institute of the American Society of Civil Engineers.
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