Brief Bio

Jeff Z. Pan is a chair of the Knowledge Graph Group at the Alan Turing Institute and is a member of the School of Informatics at The University of Edinburgh. He received his Ph.D. in Computer Science from The University of Manchester. Before joining Informatics in 2020, he was a faculty in the Department of Computing Science at The University of Aberdeen, where he was the Leader of the Knowledge Technology group and the Director of the Joint Research Lab on Knowledge Engineering and Information Security.

Jeff's research focuses primarily on knowledge representation and artificial intelligence, in particular on knowledge based learning and reasoning, and knowledge based natural language understanding and generations, as well as their applications, such as those in information retrieval, healthcare, software engineering, and open science. He is a key contributor of the W3C OWL (Web Ontology Language) standard. He led the development of the award-wining TrOWL reasoner, the only ontology reasoner that Oracle Spatial and Graph (from v12) uses via the OWL-DBC database connection. He is an internationally leading expert on Knowledge Graph, apart from chairing the Knowledge Graph Group at the Alan Turing Institute, he is the Chief Editor and main author of the first book on Knowledge Graph, a new technology that is widely used by world leading IT companies, such as Google, IBM, Facebook, Amazon, and Microsoft. As the Chief Scientist and Coordinator of the first EU Marie-Curie project on Knowledge Graph (i.e., the K-Drive project), he coordinated 22 Marie Curie Fellows, including those from IBM and Expert Systems.

He is an Editor of the Transactions on Graph Data and Knowledge (TGDK) and a Programme Chair of the 19th International Semantic Web Conference (ISWC 2020), the premier international forum for the Semantic Web / Knowledge Graph / Linked Data communities. He is also a Programme Chair of the China Conference on Knowledge Graph and Semantic Computing (CCKS 2021), which has a large community on Knowledge Graph research and innovation.

He actively teams up with industrial collaborators on innovative research.