Dr Pengyuan Liu
- Lecturer in Digital Planning (Urban Studies & Social Policy)
email:
Pengyuan.Liu@glasgow.ac.uk
pronouns:
He/him/his
Biography
My name is Pengyuan Liu, and currently, I am working as a Lecturer (Assistant Prof) in Digital Planning at the University of Glasgow. My expertise lies in the field of quantitative urban geography, where I specialised in GeoAI and urban digital twin research. I hold a PhD in Geography from the University of Leicester, UK. Before joining the University of Glasgow, I was a Senior Postdoctoral Researcher and Coordinator at Future Cities Laboratory, Singapore-ETH Centre. In 2023, I contributed as a Lecturer in Human Geography and Urban Planning at Nanjing University of Information Science and Technology. My journey also includes valuable postdoctoral research experiences at the NUS Urban Analytics Lab and the University of Helsinki.
I am passionate about integrating Geospatial Analytics, Artificial Intelligence, and Digital Twins into urban studies. My work focuses on developing theories, algorithms, and models that advance this integration. Additionally, I am an advocate for the open data initiative in academia, demonstrated by my role in organising international academic conferences for OpenStreetMap, including the 2022 State of the Map (Academic Track) and 2023 OSMScience. My aim is to foster innovation in urban studies through cutting-edge research and collaboration, contributing to the development of smarter, more sustainable urban environments.
I am always keen to explore collaborative opportunities and welcome inquiries from prospective Ph.D. students who are passionate about pushing the boundaries of Urban Science and GeoAI. Please feel free to contact me via Pengyuan.Liu@glasgow.ac.uk for any collaboration, discussion of ideas, or Ph.D. student opportunities. I’m always happy to start a conversation over a coffee break!
Please check my Google Scholar and ResearchGate for my previous publications, and follow my LinkedIn and personal website for my recent activities.
Research interests
- Geospatial Data Science and Spatially-Explicit GeoAI
- Explainable AI in Urban Science
- Urban Analytics and Digital Twin
- Urban Sensing and Digital Geographies
- Urban Sustainability and Micro-climate Studies
- Urban Justice and Human-Environment Interaction
Research groups
Supervision
- Jiazhi Zhu: Leveraging GeoAI for Flash Flood Susceptibility Prediction