Civil and Environmental Engineering
Georgia Institute of Technology
CEVE Seminar Series 2017 - Risk, Reliability, and Resilience of Structures and Infrastructure Systems: Probabilistic Methods for Modeling and Analysis
Friday, April 14, 2017
to 3:00 PM
201 Ryon Engineering Building
6100 Main St
Houston, Texas, USA
Infrastructure systems – including water, power, transportation, communications, and building systems – are critical to the functioning of society. These systems, however, are aging and subject to hazards of increasing frequency and severity. Further, these systems are complex, comprised of many interconnected and interdependent components. Analyses are required to assess the risk, improve the reliability, and increase the resilience of these critical systems. In this seminar, I will present novel probabilistic methods for the modeling and analysis of these complex systems. Among the research results presented will be methods to model interdependent infrastructure systems using Bayesian networks, dynamic models to assess structural risk and estimate the evolving states of systems over time, and studies using varying data sources for infrastructure monitoring and assessment. Ongoing work in both theoretical developments and applications to real-world systems will be discussed.
Biography of Iris Tien:
Dr. Iris Tien joined the faculty in the School of Civil and Environmental Engineering at the Georgia Institute of Technology in 2014. She received her Ph.D. in Civil Systems Engineering in 2014 from the University of California, Berkeley. Dr. Tien’s research interests are in probabilistic methods for modeling and reliability assessment of civil infrastructure systems. She has a unique interdisciplinary background that encompasses traditional topics of civil engineering, sensing and data analytics, stochastic processes, probabilistic risk assessment, and decision making under uncertainty. A previous recipient of the NSF Graduate Research Fellowship and NSF Engineering Innovation Fellowship, Tien was recently selected for the NSF Early Career Investigators Workshop in Smart Cities and the U.S. National Academies Frontiers of Science, Engineering, and Medicine Symposium.