Biography

Cai Wu, PhD, is an Assistant Professor in the Urban Governance and Design (UGOD) Thrust at The Hong Kong University of Science and Technology (Guangzhou), where he leads the Urban Morphology Studio. He holds degrees in architecture and urban analytics from the National University of Singapore, University College London, and the University of Twente.

His research sits at the intersection of computational urban morphology, GeoAI, and data-driven urban design. He develops reproducible methods that combine geospatial data, street-view imagery, network science, and machine learning to understand how built form and human activities interact across scales, and to support evidence-based urban renewal, planning, and spatial equity.

Interests
  • Computational Urban Morphology
  • Human-Environment Interaction
  • Urban Network Modeling
  • GeoAI and Urban Design
Education
  • PhD in Urban Analytics and Planning, 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

Students

Current PhD and MPhil students in Urban Morphology Studio

PhD Students

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Minwei Zhao

PhD Student

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Yunlei Su

PhD Student

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Dailuo Zhang

PhD Student

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Jiawang Du

PhD Student

MPhil Students

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Guosheng Yang

MPhil Student

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Hanzhi Zu

MPhil Student

All Publications

(2024). 'Local Hubs and Global Gateways': Understanding the impact of Singapore's master plan on urban polycentricity. Environment and Planning B: Urban Analytics and City Science.

Cite DOI URL

(2024). Machine learning-based characterisation of urban morphology with the street pattern. Computers, Environment and Urban Systems.

Cite DOI

(2024). Mapping Street Patterns with Network Science and Supervised Machine Learning. ISPRS International Journal of Geo-Information.

Cite DOI URL

Experience

 
 
 
 
 
Assistant Professor
October 2024 – Present Guangzhou
  • 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.
 
 
 
 
 
Visiting Fellow
June 2025 – November 2025 Glasgow
  • Conducted collaborative research on urban analytics, spatial inequality, and data-driven approaches to cities.
 
 
 
 
 
Visiting Scholar
January 2024 – August 2024 Singapore
  • Project: understanding neighbourhood pedestrian dynamics with computer vision-based walkability and street-network analytics.
  • Supervisor: Dr. Filip Biljecki
 
 
 
 
 
Assistant-in-Opleiding (AiO)
University of Twente
January 2020 – December 2023 Enschede

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
 
 
 
 
 
UI/UX Designer
Sea Group
December 2016 – June 2018 Singapore
  • Transform product requirements into mock-ups and solid UI/UX design.
  • Design data visualisation platform for restaurants’ daily performance and backend operation analysis.
 
 
 
 
 
Intern Urban Designer
Woods Bagot
May 2015 – August 2015 Beijing
  • Comprehensive concept and field research for an urban design project in Beijing.
  • Concept design and modelling for polit development.