Rui Zhu

I am a spatial data scientist working on geo-knowledge graphs, spatially explicit machine learning, earth observation, and geospatial semantics. My work has been applied to both humanitarian relief and environmental intelligence. 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: <ul><li>Geospatial knowledge graphs</li><li>GeoAI</li><li>Geospatial semantics</li><li>Geographic Information Science and Spatial Data Science</li><li>Spatial Statsitics</li><li>Spatially explicit machine learning</li></ul>

[2026] Using semantic signatures for social sensing in urban environments [2026] Geographic Bias and Diversity in AI Evaluation [2026] Geography According to ChatGPT How Generative AI Represents and Reasons About Geography [2026] On the Ethics of Generative GeoAI [2026] AliFilter