Department of Computer Science

Neural, Emergent and Agent Technologies Research Group

The NEAT Research Group pursues basic and applied research in the areas of neural networks, genetic algorithms, emergent (evolutionary) systems, knowledge systems (including fuzzy logic and computation), robotics, machine learning and agent technologies. This research is highly acclaimed and internationally recognised specially in the areas of neural networks, non-linear systems, and multi-sensor fusion and integration. The group is tackling problems in mobile robots, autonomous (intelligent) systems (including e-commerce), computer vision and medical applications. Members currently hold patents in the area of genetic algorithms for autonomous robots.

Members of the research group collaborate with other groups in the University (Engineering, Chemistry, Psychology, Medicine) and with internationally renowned groups from The Fraunhaufer Institute (Germany), INPG (Grenoble, France), University of Strathclyde (UK), University of Reading (UK), University of Sheffield (UK) UMIST (UK), KUKA (Germany), Predict (Germany), and others.

Members of the group publish in a variety of international journals, including Robotics and Computer-Integrated Manufacturing; Intelligent Systems; IEEE Robotics and Automation; IEEE Transactions on Fuzzy Systems; Engineering Applications of Artificial Intelligence; Robotica; International Journal of Information, Education and Research in Robotics and Artificial Intelligence; Automatica; International Journal of Robotics Research; and Bio Cybernetics. They are guest editors of the International Journal of Pattern Recognition and Artificial Intelligence, and have also been members of programme committees for gatherings such as the International Conference on Intelligent Systems and Control; the International Conference on Control and Applications; and the IEEE International Conference on Fuzzy Systems.

The group focuses on the four thematic areas of: Neural Networks and Neuro-Fuzzy Systems, Cognitive Architectures, Fault-Tolerant Systems and Knowledge Systems.

NEAT People

Dr Len Bottaci (L.Bottaci @dcs.hull.ac.uk)
Dr Mike Brayshaw (M.Brayshaw @dcs.hull.ac.uk)
Dr Darryl N. Davis (D.N.Davis @dcs.hull.ac.uk)
Dr Chandrasekhar Kambhampati (Co-ordinator) (C.Kambhampati @dcs.hull.ac.uk)
Dr Peter Robinson (P.A.Robinson @dcs.hull.ac.uk)
Miss Thuy Nguyen ( T.T.Nguyen @dcs.hull.ac.uk)
Mr James Gwatkin (J.Gwatkin @dcs.hull.ac.uk)
Mr M.V.Vijaya Kumar (V.Maragal.Venkatamuni @dcs.hull.ac.uk)
Mr Xinhao Qu (X.Qu @dcs.hull.ac.uk)
Mr Yang Xiao (Y.Xiao @dcs.hull.ac.uk)

More information on NEAT Projects can be found here.


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NEAT Research Group NEAT Home NEAT Projects Other Research Groups Contact us Back home ...	Neural, Emergent and Agent Technologies Research Group The NEAT Research Group pursues basic and applied research in the areas of neural networks, genetic algorithms, emergent (evolutionary) systems, knowledge systems (including fuzzy logic and computation), robotics, machine learning and agent technologies. This research is highly acclaimed and internationally recognised specially in the areas of neural networks, non-linear systems, and multi-sensor fusion and integration. The group is tackling problems in mobile robots, autonomous (intelligent) systems (including e-commerce), computer vision and medical applications. Members currently hold patents in the area of genetic algorithms for autonomous robots. Members of the research group collaborate with other groups in the University (Engineering, Chemistry, Psychology, Medicine) and with internationally renowned groups from The Fraunhaufer Institute (Germany), INPG (Grenoble, France), University of Strathclyde (UK), University of Reading (UK), University of Sheffield (UK) UMIST (UK), KUKA (Germany), Predict (Germany), and others. Members of the group publish in a variety of international journals, including Robotics and Computer-Integrated Manufacturing; Intelligent Systems; IEEE Robotics and Automation; IEEE Transactions on Fuzzy Systems; Engineering Applications of Artificial Intelligence; Robotica; International Journal of Information, Education and Research in Robotics and Artificial Intelligence; Automatica; International Journal of Robotics Research; and Bio Cybernetics. They are guest editors of the International Journal of Pattern Recognition and Artificial Intelligence, and have also been members of programme committees for gatherings such as the International Conference on Intelligent Systems and Control; the International Conference on Control and Applications; and the IEEE International Conference on Fuzzy Systems. The group focuses on the four thematic areas of: Neural Networks and Neuro-Fuzzy Systems, Cognitive Architectures, Fault-Tolerant Systems and Knowledge Systems. NEAT People Dr Len Bottaci (L.Bottaci @dcs.hull.ac.uk) Dr Mike Brayshaw (M.Brayshaw @dcs.hull.ac.uk) Dr Darryl N. Davis (D.N.Davis @dcs.hull.ac.uk) Dr Chandrasekhar Kambhampati (Co-ordinator) (C.Kambhampati @dcs.hull.ac.uk) Dr Peter Robinson (P.A.Robinson @dcs.hull.ac.uk) Miss Thuy Nguyen ( T.T.Nguyen @dcs.hull.ac.uk) Mr James Gwatkin (J.Gwatkin @dcs.hull.ac.uk) Mr M.V.Vijaya Kumar (V.Maragal.Venkatamuni @dcs.hull.ac.uk) Mr Xinhao Qu (X.Qu @dcs.hull.ac.uk) Mr Yang Xiao (Y.Xiao @dcs.hull.ac.uk) More information on NEAT Projects can be found here.