Dr. Wufan Zhao is currently an Assistant Professor at the Urban Governance and Design (UGOD) Thrust, The Hong Kong University of Science and Technology (Guangzhou). He is the Principal Investigator (PI) of AI4DCity Lab. Before joining HKUST(GZ), he was a Research Fellow at Geomatics Group, KU Leuven. His research primarily focuses on AI-based remote sensing image understanding, 3D city modeling, multi-modal spatiotemporal data fusion, and their methodological and applied studies. His researches will specifically addresses challenges related to urban environments and socio-economic factors under various scales of Sustainable Development Goals (SDGs).
Education
- PhD in Remote sensing and Earth Observation, ITC, University of Twente (2022)
- MSc in Geoinformatics, Nanjing Normal University & University of Salzburg (2018)
- BSc in GIS, Northwest A&F University (2015)
Teaching
- Science of Cities, PG course, Lecturer, HKUST-GZ, 2024 Fall
- Machine Learning in Remote Sensing, PG course, Lecturer, HKUST-GZ, 2024 Fall
- AI in Photogrammetry, PG course, Lecturer, KU Leuven, 2023
- Advanced Image Analysis, PG course, Teaching Assistant, ITC-University of Twente, 2020
Professional Activities
Editor
- Photogrammetric Engineering & Remote Sensing
Session Chair
- The 2nd Youth Innovation Forum on Digital Earth, Session 3 Scan-to-BIM/CIM: Digital Innovations and Applications, 2024
- IGARSS 2021, TH1.O-4: Optical I - Infrastructure Detection
Special Issue Guest Editor
- Remote Sensing, SI on 3D and Semantic Reconstruction of the Urban Environment Using Multi-Modal and Multi-Resolution Remote Sensing Data, 2023-2024
Membership
- ISPRS Commission IV, WG 9 on Digital Twins
- ACM SIGSPATIAL China Chapter
- ISDE Young Scientist Innovation Network ISDE-YSIN
- University of Twente, Digital Twin GeoHUB (DTG)
Invited Talks
- Department of Architecture, National University of Singapore, Jun. 5th, Singapore
- Institute for Environmental Studies, VU Amsterdam, Oct 28th 2022, the Netherlands
- MIT City Senseable Lab, Aug 2nd 2022, U.S.
- AI-driven methods in support of Digital Twins, Jan 26th 2022, the Netherlands
- Technical AI Session - Proeftuin Kadaster, Jan 14th 2021, the Netherlands
Reviewer
- ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS Journal)
- Remote Sensing of Environment (RSE)
- International Journal of Applied Earth Observation and Geoinformation (JAG)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Geoscience and Remote Sensing (TGRS)
- Computers Environment and Urban Systems (CEUS)
- Geo-spatial Information Science (GSIS)
- IEEE Geoscience and Remote Sensing Letters (GRSL)
- International Journal of Digital Earth (IJDE)
- Transactions in GIS (TGIS)
- GeoInformatica
- Conferences (ACM Multimedia, IGARSS, ISPRS conferences)