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Yu Wang

PhD, Geospatial AI Research Scientist, University of Glasgow

Bio

I’m a Geospatial AI Research Scientist in the Geospatial Data Science Group at the University of Glasgow.

Before commencing my PhD, I obtained Bachelor’s and Master’s degrees in telecommunications and spent over six years working in France as a telecom engineer on national transmission networks. This experience deepened my curiosity about how large-scale network data reflect societal dynamics and reveal latent spatial or behavioural patterns relevant to urban applications.

My current research focuses on geospatial AI, data analytics, and digital infrastructure, with particular interest in the rapid expansion of data centres and their implications for energy, water, emissions, and regional infrastructure. I use large-scale spatial data and AI methods to evaluate infrastructure patterns, environmental pressures, and location-specific risks. My broader work also covers responsible AI, geographic bias, and fairness in spatial data.

Publications

  • Wang, Y., & Basiri, A. (2026). How Environmentally Sustainable Are Data Centres? A Spatial Assessment Framework. (preprint)
  • Wang, Y., & Basiri, A. (2026). From Static to Dynamic: Evaluating the Impact of Temporal Bias in Historical Street View Images for Cross-View Geolocalization. Transactions in GIS, no. 5: e70354. [link]
  • Wang, Y., Basiri, A., Gerrits, P., Solomon, G., Woelk, S., & Fidel Pereira, M. (2026). Why do pedestrians get lost? A case study of personal, situational, and environmental factors in Greater London. Journal of Location Based Services, 1–26. [link]
  • Wang, Y., & Basiri, A. (2025). Bit to brick: from cellular mobile signals to 3D city map creation. Big Earth Data, 1–25. [link]
  • Wang, Y., & Basiri, A. (2026). Uneven representation in street view imagery and its implications for GeoAI. In AGILE 2026 Workshop on Uncertain Geodata: Bias, Missingness & GeoAI, Tartu, Estonia. (Oral Presentation)
  • Wang, Y., Shingleton, J., Bıçakçı, Y. S., Basiri, A., & Ackland, J. (2026). The Invisible City: Not All Streets Are Seen Equally. Proceedings of the 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium. (Oral Presentation) [link]
  • Wang, Y., & Basiri, A. (2024). Advancing human activity recognition using ultra-wideband channel impulse response snapshots. Proceedings of the 2024 International Conference on Activity and Behavior Computing (ABC), IEEE, 1–10. [link]
  • Shingleton, J., Bıçakçı, Y. S., Wang, Y., & Basiri, A. (2026). Emergent spatio-semantic structure in large language model embedding spaces. Proceedings of the 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium. (Oral Presentation)
  • Bıçakçı, Y. S., Shingleton, J., Wang, Y., & Basiri, A. (2026). Mapping the semantics of the street: A VLM-driven geospatial analysis in Fatih, Istanbul. Proceedings of the 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium. (Oral Presentation)
  • Shingleton, J., Bıçakçı, Y. S., Wu, M., Wang, Y., & Basiri, A. (under review). Evaluating explanation integrity in a vision-language model for urban perception. Transactions in GIS.

Vitæ

Full Curriculum Vitæ in pdf

© 2026 Yu Wang