CEE Virtual Seminar Series: Ilgin Guler

The recording for this seminar is now available.

Application of data-driven methods to infrastructure management

Abstract: This presentation will focus on application of data-driven methods to problems related to infrastructure management. The work presented will consider both methods to determine the condition of bridge decks and to predict the future condition of bridges. For determining the condition of a bridge deck, supervised learning approaches to predict condition rating using impact echo tests for non-destructive evaluation will be discussed. Next, models of bridge deck deterioration for predicting the future condition of bridge decks will be discussed. Both a statistical approach, specifically, generalized gamma distribution-based bridge deck deterioration modeling, and a machine learning approach, specifically, random survival forest, will be presented.

Biography: Ilgin Guler is an assistant professor in the Department of Civil and Environmental Engineering at Penn State. Her research interests include multi-modal urban traffic operations and control, intelligent transportation systems, connected and autonomous vehicles, and infrastructure management. She received dual bachelor of science degrees from Bogazici University, Istanbul, Turkey in Civil Engineering and Industrial Engineering and Operations Research. She received her M.S. and Ph.D. degrees from the University of California, Berkeley in Civil and Environmental Engineering. After completing her Ph.D., she served as a post-doctoral scholar in the Institute of Transport Systems and Planning at ETH Zurich, Switzerland.

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