Professor Anthony Cohn, FREng, CEng, CITP
- Position: Professor
- Areas of expertise: artificial Intelligence; knowledge representation and reasoning; data and sensor fusion; cognitive vision; spatial representation and reasoning; geographical information science
- Email: A.G.Cohn@leeds.ac.uk
- Phone: +44(0)113 343 5482
- Location: 9.23 E C Stoner Building
- Website: Personal website | LinkedIn | GoogleScholar | ResearchGate | White Rose
He holds BSc and PhD degrees from the University of Essex where he studied under Pat Hayes. He spent 10 years at the University of Warwick before moving to Leeds in 1990 where he founded a research group working on Knowledge Representation and Reasoning with a particular focus on qualitative spatial/spatio-temporal reasoning, the best known being the well cited Region Connection Calculus (RCC). He is Editor-in-Chief Spatial Cognition and Computation and has been Chairman/President of the UK AI Society SSAISB, the European Coordinating Committee on AI (ECCAI), KR inc, the IJCAI Board of Trustees and was the Editor-in-Chief for Artificial Intelligence 2007-2014 and of the AAAI Press 2004-14. He is the recipient of the 2015 IJCAI Donald E Walker Distinguished Service Award which honours senior scientists in AI for contributions and service to the field during their careers, as well as the 2012 AAAI Distinguished Service Award for “extraordinary and sustained service to the artificial intelligence community”. He is a Fellow of the Royal Academy of Engineering, and is also a Fellow of AAAI, AISB, ECCAI (Founding Fellow), the BCS, and the IET.
- Director of Research and Innovation
My research interests have always centred on knowledge representation and the control of reasoning. My early research concentrated on many sorted logics. My current and recent research interests range from theoretical work on spatial calculi and spatial ontologies, to cognitive vision, detection of archaeological residues using remote sensing techniques, modelling spatial information in the hippocampus, integrating utility records and sensor data concerning the location of underground assets and decision support systems for tunnel maintenance and construction. He has received substantial funding from a variety of sources including EPSRC, the Technology Strategy Board (TSB), DARPA, the European Union and various industrial sources. Work from the Cogvis project won the British Computer Society Machine Intelligence prize in 2004. The VAULT system based on the MTU and VISTA projects provides the world’s first real time delivery of integrated utility records nationwide and won the Built Environment category of the IET Innovation Awards in 2012 (also Highly commended in the IT category) and the 2012 NJUG Awards in the "Avoiding Damage” category.
- BSc Computing (Hons) University of Essex
- PhD Computer Science, University of Essex
Research groups and institutes
- Robotics at Leeds
- Artificial Intelligence