2017-09-29 12:30:00 2017-09-29 14:00:00 America/New_York Special Seminar The School of Industrial Engineering and Assistant Professor Roshanak Nateghi will host a special seminar with two visiting faculty members speaking on resilience. Potter Engineering Center, Fu Room (234)
|Event Date:||September 29, 2017|
|Hosted By:||School of Industrial Engineering
|Time:||11:30 AM - 1:00 PM
|Location:||Potter Engineering Center, Fu Room (234)
|Contact Name:||Roshanak Nateghi, Assistant Professor, School of Industrial Engineering
|School or Program:||Industrial Engineering
"Interdisciplinary research methodology for assessing regional vulnerability to repeated hazards"
Allison Reilly, Assistant Professor, Department of Civil and Environmental Engineering, University of Maryland - College Park
Many communities face threat of repeated hazards, though the majority of hazard research focus on isolated events. This mentality fails to consider how communities change over time in response to hazards and, as a result, can limit model insights. This presentation will discuss the importance of interdisciplinary modeling for understanding community resilience and present methods for doing so. Insights from a recent project on how customer demand for reliable power after major weather events
may alter power system reliability will then be discussed.
Prior to her appointment at UMCP, Reilly was a research fellow in the Department of Industrial and Operations Engineering at the University of Michigan, and a post-doctoral research associate in the Department of Geography and Environmental Engineering at Johns Hopkins University. In addition, she was a research analyst for the Homeland Security Studies and Analysis Institute, a federally-funded research and development center in support of the Department of Homeland Security, in Arlington, VA. Reilly holds a PhD in Civil Engineering from Cornell University, an MS in Civil Engineering, also from Cornell University, and a BS in Civil Engineering from Johns Hopkins University.
"Quantifying the resilience of critical infrastructure systems"
Hiba Baroud, Assistant Professor, School of Civil and Environmental Engineering, Vanderbilt University
The protection of critical infrastructures has recently garnered attention with an emphasis on analyzing the risk and improving the resilience of such systems. Critical infrastructures constitute a wide range of interdependent systems such as transportation, communications, water, and energy, among others. These systems are essential to our economy and society, however, they frequently face disruptive events resulting from natural hazards, accidents, or man-made attacks, leading to cascading failures across other infrastructures and the community.
With the abundance of data, risk managers should be able to better inform preparedness and recovery decision making under uncertainty. It is important, however, to develop and utilize the necessary methodologies that bridge between data and decisions. As recent reports identify issues such as aging infrastructure and future climate, developing tools to assess the ability of these systems to withstand and recover from disruptions is critical.
This talk will provide a set of metrics and methods developed to obtain a quantitative measures of systems’ ability to respond to and recover from disruptions. These metrics seek to identify the most critical components, understand the impact of interdependencies on the recovery process, and predict the state of the disrupted system and other indirectly impacted systems before, during, and after a disruption.
The approaches discussed include data-driven Bayesian methods, network flow optimization, and economic interdependency models with illustrative case studies focused on inland waterways, power systems, and economic sectors.
Dr. Baroud is an assistant professor in the Department of Civil and Environmental Engineering at Vanderbilt University. Her work explores data analytics and statistical methods to measure and analyze the risk, reliability, and resilience in critical infrastructure systems. In particular, she has studied data-driven Bayesian methods to predict the occurrence of disruptive events in infrastructure systems and stochastically model the recovery process of the physically disrupted system as well as other interdependent and indirectly impacted systems. She also developed decision analysis tools to assess different preparedness and recovery investment strategies for the protection of civil infrastructures.
Baroud holds a PhD in Industrial and Systems Engineering from the University of Oklahoma. She has a Master's of Mathematics from the Department of Statistics and Actuarial Science at the University of Waterloo where she focused in her research on the application of statistics, particularly time series models, to analyze financial data. Prior to that, she obtained her BS in Actuarial Science from Notre Dame University, Lebanon.
Her prior experience includes an internship with IBM at the Watson Research Center in Yorktown Heights, NY, a fellowship at George Washington University Center for International Business Education and Research, and a visiting position in the Department of Geography and Environmental Engineering at Johns Hopkins University.
Baroud's work has twice been awarded the Best Paper Award in the Homeland Security Track of the Industrial and Systems Engineering Research Conference. She is part of the Infrastructure Resilience Division in the American Society of Civil Engineers, the Engineering Specialty Group of the Society for Risk Analysis, and the World Association for Waterborne Transport Infrastructure.