UGOD Thrust Seminar | Perceiving Cities with AI and Street-level Imagery
Perceiving Cities with AI and Street-level Imagery
The last decades have witnessed an increasing penetration of digital technologies in the physical space. This ushered in a series of radical changes in how we understand, conceive, design, and live the city. More recently, the advent of geospatial big data and advancements in AI have created new possibilities for sensing urban dynamics and evaluating the effects of urbanization. In this talk, we will discuss four key issues in perceiving the urban physical environment through the lens of "Urban Visual Intelligence." This framework illustrates how new image data sources and deep learning techniques can reshape the way we perceive cities, enabling us to examine their built environments and their interactions with human dynamics at different scales, and facilitate the development of human-centred and sustainable smart cities.
Dr Fan Zhang is an Assistant Professor at the Department of Civil and Environmental Engineering, HKUST. He was formerly a Senior Research Fellow at MIT and the leader of the Urban Visual AI group at the MIT Senseable City Lab. His research lies at the intersection of GIScience, geospatial data science, and artificial intelligence. Dr Zhang is currently an associate editor of Transactions in Urban Data, Science, and Technology, a guest editor of ISPRS Journal of Photogrammetry and Remote Sensing, and a reviewer for over 50 SCI journals in GIS and urban studies. He is a board member of CPGIS and a board member of the IEEE GRSS Hong Kong Chapter. He received the Global Young Scientist Award in Frontier Science and Technology at WGDC 2020 and was recognized as Geospatial World 50 Rising Stars in 2022. He was included in the Stanford's list of world's top 2% scientists in 2022.
Onsite venue: E3 202, GZ Campus;
Online Zoom Meeting ID: 914 7606 5596,
Passcode: ugod0329