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Mingshu Wang has been elected Chair of the RGS-IBG GIScience Research Group, contributing to the group’s support for GIScience research, education and professional exchange.

Mingshu Wang delivered an invited presentation at BCS 2026 in Edinburgh, exploring how Geomatics education can respond to GeoAI while preserving spatial understanding, critical judgement and visual reasoning.

Mingshu Wang joined doctoral researcher Rui Deng on Jambo! Radio Scotland to discuss TabPFN-GSA, why geography matters for foundation models, and how spatial context can give AI a practical mathematical sense of place.

The study introduces TabPFN-GSA, a lightweight inference-time framework that enables TabPFN to better capture spatial dependence, improving predictive accuracy, robustness, and scalability for geospatial tabular data without retraining.

Mingshu’s group attended the first International GeoAI Conference in Ghent, Belgium, where doctoral students Xinyi Yuan and Rui Deng delivered oral presentations on their latest research in urban growth modelling and geospatial AI.

Dr Mingshu Wang has been named a DAFNI Fellow to develop GeoAI tools for UK infrastructure analysis. His work will support more transparent, reusable, and evidence-based infrastructure decision-making.

We contributed to a PAM 2026 paper on the global deployment and performance of AS112.

Mingshu Wang has been selected for the inaugural UK GEO100, a national list recognising 100 leaders shaping the future of geospatial science across the UK.

PhD student Rui Deng’s paper on improving the efficiency and explainability of GeoAggregator has been accepted as a Short Paper at the ACM SIGSPATIAL GeoAI Workshop.

PhD students Xinyi Yuan and Rui Deng recently visited Florida State University (FSU) for a research exchange hosted by Dr. Ziqi Li. They presented their latest work on building-footprint analytics and scalable geospatial data modelling at FSU’s Spatial Data Science Center.