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City Brain: Concept and Practice of City Digitalization | Dr. Jessie Li | Structural Engineering Seminar

Event Type
Seminar/Symposium
Sponsor
CEE
Location
1310 Newmark
Date
Apr 15, 2024   4:00 pm  
Speaker
Jessie Li
Views
38
Originating Calendar
CEE Seminars and Conferences

City Brain: Concept and Practice of City Digitalization

Abstract:
Cities are facing the global challenge of accommodating increasing populations within the constraints of limited resources. Data emerges as a vital asset in navigating these complexities. City Brain, proposed in Yunqi Town of Hangzhou in 2016, aims to optimize the use of city resources through data. Through years of close collaboration with city practitioners, we show that transforming data into useful data resources is a revolutionary engineering process.

In this talk, I will illustrate the resource-centric idea and engineering progress of City Brain through real-world examples, particularly in city-wide traffic systems. I will reveal the intricacies behind the scenes and the novel solutions we applied to the real scenarios. By sharing the concept and practices of City Brain, this talk intends to foster a paradigm shift towards the digitalization of cities, sparking new research in civil engineering, encouraging innovative solutions for city management and sustainability.

Bio:
Dr. Zhenhui (Jessie) Li currently serves as the chief scientist at the Yunqi Academy of Engineering, a non-profit institution situated in Hangzhou, China. Prior to this role, she held a tenured associate professor position at Pennsylvania State University. She earned her doctoral degree in Computer Science from the University of Illinois at Urbana-Champaign. Her research has been primarily devoted to advancing computing technologies to unlock the potential of data for cross-disciplinary research, with a specific emphasis on city applications. For further information, you can visit her website at (https://urldefense.com/v3/__https://jessielzh.com/__;!!DZ3fjg!7val9aAPjWRSzBp989-LD8-76yYXeiJRokcrrySy4INNsgheVqNnAGSG0Lq0eXQvJH7C5OZImVrxE3X4r8Bm$ ).

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