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2017-11-29 14:00:00 2017-11-29 15:00:00 America/New_York Research Seminar Series - Sybil Derrible Associate Professor of Sustainable Infrastructure Systems in Civil & Materials Engineering; Research Associate Professor at the Institute for Environmental Science & Policy; and Director of the Complex & Sustainable Urban Networks (CSUN) Laboratory, University of Illinois at Chicago WALC 1132

November 29, 2017

Research Seminar Series - Sybil Derrible

Event Date: November 29, 2017
Hosted By: School of Industrial Engineering
Time: 2:00 - 3:00 PM
Location: WALC 1132
Contact Name: Leza Dellinger
Contact Phone: 765-494-5444
Contact Email: lrdellin@purdue.edu
Open To: All
Priority: No
School or Program: Industrial Engineering
College Calendar: Show
Associate Professor of Sustainable Infrastructure Systems in Civil & Materials Engineering; Research Associate Professor at the Institute for Environmental Science & Policy; and Director of the Complex & Sustainable Urban Networks (CSUN) Laboratory, University of Illinois at Chicago

"Leveraging Data Science to Learn New Things about Old Systems"

ABSTRACT

Since the Neolithic era, urban infrastructure systems have been the physical backbone of civilization. Without roads, water pipes, sewers, power lines, telecommunication cables, and all other infrastructure systems, our society would not be able to thrive as it currently does. In the future, infrastructure systems will have to become smarter, more sustainable, and more resilient. This not only means that less energy will have to be used to operate them, but it also means that we will need to be much better at controlling interdependencies between them. This problem calls for a radically new way to design urban infrastructure; as Einstein famously said: “We cannot solve problems by using the same thinking we used when we created them.” At the Complex and Sustainable Urban Networks (CSUN) Laboratory, we leverage complexity science, data science, and urban metabolism to learn new things from urban infrastructure. To illustrate this point, I will first showcase software that we have developed at CSUN, including the GISF2E tool that converts any geographic data into a network. Second, I will show how we have used machine learning to uncover patterns in household water consumption in the United States and Canada and how certain types of neural networks can be used to better capture travel demand behavior patterns. Third, I will present a new Network-based Frequency Analysis (NFA) approach that is able to track the performance of an entity over time. Overall, our main goal is to look beyond the traditional boundaries of civil engineering and better integrate infrastructure to help design smart, sustainable, and resilient cities.

 

Photo of Sybil DerribleBIO

Sybil Derrible is an Associate Professor of Sustainable Infrastructure Systems in Civil and Materials Engineering, a Research Associate Professor at the Institute for Environmental Science and Policy, and the Director of the Complex and Sustainable Urban Networks (CSUN) Laboratory at the University of Illinois at Chicago. His research is at the nexus of urban metabolism, infrastructure planning, complexity science, and data science to redefine how cities are planned and built for smart, sustainable, and resilient urban systems. He received a U.S. National Science Foundation CAREER Award for his work, and he obtained his PhD from the University of Toronto.