Shuai Wang joined the project as a postdoc on 1 December. He holds a PhD in Computer Science (Vrije Universiteit Amsterdam). He has published over 20 papers in Artificial Intelligence, Semantic Web, Linked Data, etc.

Shuai will be responsible for the following tasks.

• design and test conceptual or cognitive models for geodata sources and geo-analytical transformations;
• design and implement algorithms that parse geographic questions into conceptual transformation graphs;
• develop graph-based methods (e.g. knowledge graph embedding, graph neural networks) to match questions to relevant geodata workflows;
• integrate semantic web technologies (e.g. RDF, SPARQL, OWL), large language models, and graph neural networks into the reasoning pipeline;