Biography
Cai Wu is an Assistant Professor in the Urban Governance and Design Thrust at The Hong Kong University of Science and Technology (Guangzhou), where he leads the Urban Morphology Studio. He holds a PhD from the University of Twente, an MSc from University College London, and a BA in Architecture (Honours) from the National University of Singapore.
His research combines computational urban morphology, GeoAI, and data-driven urban design to understand how urban form and human activities interact. Using geospatial data, street-view imagery, network science, and machine learning, he develops reproducible methods and open tools for evidence-based planning, urban renewal, and spatial equity.
- Computational Urban Morphology
- GeoAI and Explainable Urban Analytics
- Urban Networks and Spatial Interaction
- Human-Environment Interaction and Urban Design
PhD in Urban Analytics, 2024
University of Twente, Netherlands
MSc in Smart Cities and Urban Analytics, 2019
University College London, United Kingdom
BA in Architecture (Honours), 2017
National University of Singapore, Singapore
News
Students
Current students in Urban Morphology Studio
Urban Morphology Studio (UMS) is a research group at HKUST(GZ) focused on computational urban morphology, GeoAI, and data-driven urban design. Visit the UMS website to learn more about our research, people, and activities.
Minwei Zhao
PhD Student
Yunlei Su
PhD Student
Dailuo Zhang
PhD Student
Jiawang Du
PhD Student
Guosheng Yang
MPhil Student
Hanzhi Zu
MPhil Student
Dongzhi Luo
Research Assistant
Zhecheng Shi
Research Assistant
Qiming Liu
Visiting Student
Featured Publications
All Publications
Experience
- Leads the Urban Morphology Studio on computational urban morphology, GeoAI, and data-driven urban design.
- Develops reproducible methods and tools for evidence-based urban analysis, renewal, and planning.
- Conducted collaborative research on urban analytics, spatial inequality, and data-driven approaches to cities.
- Project: understanding neighbourhood pedestrian dynamics with computer vision-based walkability and street-network analytics.
- Supervisor: Dr. Filip Biljecki
Teaching Assistant:
- 202001419-1A Course 1: GIS and RS or Geospatial Solutions
- 202001419-1A Course 2: Geospatial Data: Concepts, Acquisition and Management
- 202001419-1A Course 3: Geospatial Analysis and Interpretation
- HTHT GIS Minor
- Translated product requirements into mock-ups and UI/UX designs.
- Designed a data visualisation platform for restaurants’ daily performance and backend operations.
- Conducted concept and field research for an urban design project in Beijing.
- Developed concept designs and models for a pilot development.