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ITI | CIRI Seminar: Iris Tien, "Introducing PRIISM: Probabilistic Resilient Interdependent Infrastructure System Modeling"

Event Type
Seminar/Symposium
Sponsor
Critical Infrastructure Resilience Institute (CIRI)
Location
Online
Virtual
Date
Nov 12, 2020   1:00 pm  
Speaker
Iris Tien, Georgia Institute of Technology
Registration
Registration
Contact
Katie Balch
E-Mail
kjeden@illinois.edu
Views
5
Originating Calendar
Information Trust Institute

Registration is required to attend this event.  Please register here.

 

ABSTRACT: As infrastructure systems become increasingly connected, it is critical to be able to capture the varying dependencies and interdependencies that exist across networks to perform comprehensive assessments of infrastructure risk. Vulnerabilities in an infrastructure system can stem from components in the network itself, where elements of the system are located, and from components in other networks on which it depends. In this seminar, I will discuss research work that we have conducted on interdependent infrastructure systems, including the definition of infrastructure interdependency types and the creation of an approach to probabilistically assess infrastructure systems including these interdependencies. I will then introduce PRIISM (Probabilistic Resilient Interdependent Infrastructure System Modeling), a new tool we have developed from this research to perform analysis of interdependent infrastructure systems. I will describe the capabilities of the tool, and provide examples of inputs and outputs for use. PRIISM enables varying infrastructure interdependencies to be captured, and probabilistic analyses of system performance to be run to assess infrastructure performance under varying threat, hazard, and retrofit scenarios.

 

BIO: Dr. Iris Tien is Williams Family Associate Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. She joined the faculty in 2014 after receiving her Ph.D. in Civil Systems Engineering 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. Her work on interdependent infrastructure systems modeling and analysis has twice won 1st Place Paper Awards in resilient critical infrastructure. Dr. Tien’s research has been funded by the National Science Foundation, Department of Homeland Security, U.S. Department of Transportation, and National Institute of Standards and Technology. Dr. Tien has been selected by the National Academy of Engineering to participate in three Frontiers of Engineering Symposia. She was also selected to organize the session on Resilient and Reliable Infrastructure at the U.S. Frontiers of Engineering Symposium; and speak on Community Resilience at the National Academies Frontiers of Science, Engineering, and Medicine Symposium.

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