Large-scale mobility data can be collected from mobile phones, car navigation systems, road surveillance cameras, and loop sensors Turning such raw data into knowledge can provide insights about our city and empower the city to be more intelligent In this talk, I would like to share new data mining and machine learning technologies to address challenges in travel demand prediction (in collaboration with Didi Chuxing) and intelligent traffic signal control (using real surveillance camera data) In addition, I would like to share an opportunity of City Brain project, which I will soon start working on from summer 2018 This project will be in collaboration with traffic police department of Hangzhou, China We will be exploring AI-empowered data-driven traffic signal control system

Dr. Zhenhui (Jessie) Li is an Associate Professor of Information Sciences and Technology at the Pennsylvania State University. She is Haile family early career endowed professor. Prior to joining Penn State, she received her PhD degree in Computer Science from University of Illinois Urbana-Champaign in 2012, where she was a member of data mining research group. Her research has been focused on mining spatial-temporal data with applications in ecology, environment, social science, urban computing, and transportation. She is a passionate interdisciplinary researcher and has been actively collaborating with cross-domain researchers. She has received NSF CAREER award, junior faculty excellence in research, and George J. McMurtry junior faculty excellence in teaching and learning award. To learn more, please visit her homepage: https://faculty.ist.psu.edu/jessieli