Personal profile
Research interests
I am a Lectuer in Spatial/Geographical Data Science. Broadly speaking, I study how humans and machines organize spatial knowledge, as well as their interactions with the environment. More specifically, I combine theory-informed (e.g. geography and semantics) and data-driven (e.g. machine learning and spatial statistics) approaches to address geospatial challenges such as geospatial data interoperability, spatial predictions, and spatial reasoning. My work has been applied to a wide range of applications, including urban studies, public health, environmental modeling, as well as humanitarian relief.
My research topics include:
- Geospatial knowledge graphs
- GeoAI
- Geospatial semantics
- Geographic Information Science and Spatial Data Science
- Spatial Statsitics
- Spatially explicit machine learning
At the University of Bristol, I am the Programme Director of MSc in Geographic Data Science and Spatial Analytics, and Director of PhD in Geographic Data Science. I am also the Path Lead of Advanced Quantitative Methods at ESRC's South West Doctoral Training Partnership (SWDTP).
I am recruiting self-motivated talents to pursue PhD degree or postdoctoral study about any topics relevant to my research expertise/interest. There are multiple funding sources you could apply if you consider to study with me. Don't hesitate to keep in touch by sending your CV and proposal.
External positions
Secretary , GIScience Research Group
11 Sept 2023 → …
Keywords
- geographic data science
- Knowledge Graph
- Geographic Information System
- GeoAI
- Machine Learning
- Earth Observation and Modeling
- Human Geography
- Semantic Technology
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Collaborations and top research areas from the last five years
Research output
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The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment
Zhu, R., Shimizu, C., Stephen, S., Fisher, C. K., Thelen, T., Currier, K., Janowicz, K., Hitzler, P., Schildhauer, M., Li, W., Rehberger, D., Barua, A., Christou, A., Cai, L., Dalal, A., D'Onofrio, A., Eells, A., Faulk, M., Liu, Z. & Mai, G. & 8 others, , 6 Feb 2026, In: Transactions in GIS. 30, 1, 20 p., e70184.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile1 Downloads (Pure) -
AI-Driven Analysis of Gambling Advertising Exposure in the English Premier League
Wang, Z., Moradipour, S., Wheaton, J. J., Zhu, R., Rossi, R. & Moxey, M., Jun 2025.Research output: Contribution to conference › Conference Paper › peer-review
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GeoFM: how will geo-foundation models reshape spatial data science and GeoAI?
Janowicz, K., Mai, G., Huang, W., Zhu, R., Lao, N. & Cai, L., 1 Sept 2025, In: International Journal of Geographical Information Science. 39, 9, p. 1849-1865 17 p.Research output: Contribution to journal › Review article (Academic Journal) › peer-review
Open Access14 Citations (Scopus)
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EV for All: Estimating EV Charging Demand in the UK with Smart Data
Zhu, R. (Principal Investigator)
1/02/26 → 31/07/27
Project: Research
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Responding to Natural Disasters Leveraging Geospatial Knowledge Graph and GeoAI
Zhu, R. (Principal Investigator)
1/01/25 → 31/12/26
Project: Research
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Unlocking big web archives: a tool to learn about new economic activities over space and time
Tranos, E. (Principal Investigator), Zhu, R. (Co-Investigator) & Occhini, G. (Researcher)
Project: Research