Professor Zhou, Yulun 周鈺倫
Yulun Zhou is an Assistant Professor in Urban Data Science at the Department of Urban Planning and Design, Faculty of Architecture, the University of Hong Kong. His work straddles urban science and artificial intelligence with publications on leading journals such as Nature Computational Science, Environmental Science & Technology, Geoscientific Model Development, Environment and Planning B: Urban Analytics and City Science, and Cartography and Geographic Information Science. He also serves as a reviewer for around ten journals such as Remote Sensing of Environment, International Journal of Geoinformation Science, Urban Studies, and Applied Network Science. Some of his recent work includes AI-driven climate-sensitive urban growth planning, vector-based asymmetric navigation in cities, and evaluating urban vibrancy using multi-source spatial big data. Before joining HKU, he briefly worked at the Hong Kong Center for Construction Robotics. He earned his Ph.D. from the Chinese University of Hong Kong and B.Eng. in Nuclear Science from the Institute of Modern Physics at Fudan University, Shanghai, China. He spent two of his Ph.D. years in Cambridge, MA working at the MIT Senseable City Laboratory and Harvard Healthy City Laboratory.
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