Research interests

Research areaLead academics
Knowledge representation and ontology
This theme is concerned with developing formalisms for handling spatial and temporal information in the context of artificial intelligence, geographic information science, and formal ontology. It overlaps with several other themes and sub-themes, especially Temporal Representation and Reasoning (ontology of processes and events), Geo-ontology, and Collective Phenomena (ontology of collectives).
Dr Antony Galton
Machine learning
A common theme in all our research areas is how we handle the uncertainty inherent in most applications. In all these areas we seek to apply statistical methods to determine not just estimates of the answers to our questions, but also to quantify the amount of error there might be in those estimates.
Professor Richard Everson, Dr Yiming Ying and Dr Jonathan Fieldsend
Optimisation
The group at Exeter focuses on approximate methods, often inspired by natural systems for finding good solutions to hard optimisation problems.
Professor Richard Everson, Dr Jonathan Fieldsend, Dr Ed Keedwell and Dr Yiming Ying
Nature-inspired computing
The nature-inspired computing research group at Exeter is interested in the study and application of naturally-inspired computing techniques to problems in Hydroinformatics, Bioinformatics and Systems Biology and Cognitive Science.
Dr Ed Keedwell and Dr Jonathan Fieldsend
Shape representation
Describing and distinguishing shape with machines.
Dr Jovisa Zunic
High performance computing and networking
The high performance computing and networking group investigate the computational and networking challenges associated with modern information and communications paradigms such as Internet, mobile, cloud and high performance computing
Professor Geyong Min, Professor Richard Everson, Dr Jonathan Fieldsend, Dr Ed Keedwell and Dr Yiming Ying
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