Current page: Members->List of Members->Hilary Buxton

Hilary Buxton University of Sussex Membership Number: 8 Address: Falmer, Brighton, BN1 9QH, UK Email: hilaryb@cogs.susx.ac.uk Phone: +44 1273 678569 Fax: +44 1273 671320 URL: http://www.cogs.susx.ac.uk/users/hilaryb Biographical Sketch Hilary Buxton is Professor of Visual Intelligence, University of Sussex. She has a background in cognitive science BSc (Bristol) and PhD (Cambridge), and research on temporal aspects of perception. This research has developed computational theory for both human and machine vision systems, resulting in publication of more than 100 journal and conference papers. Past projects focussed on biological motion understanding under JCI, medical visualisation under IED, and visual reasoning and control in advanced vision systems under ESPRIT project `Visual Inspection and Evaluation of Wide-area Scenes' (VIEWS) (RFs Shaogang Gong and Paddy Toal) and EPSRC project `Behavioural Analysis for Visual Surveillance' (RF Richard Howarth). More recently, she was principal investigator of EPSRC project `ISCANIT: Identity Recognition and Intentional Tracking' (RF Jon Howell) and HCM Network on `Parallel Modelling of Neural Operators for Pattern Recognition' (PAMONOP) and is principal investigator of i3 ESE project on `PUPPET: Educational Puppet Theatre of Virtual Worlds' (RFs Pat George and Malcolm McIllhagga) and new IST project `ActIPret: Interpreting and Understanding Activities of Expert Operators'. She is also currently supervisor of seven DPhil research students which include EPSRC award for the evolution of visuo-motor control (Anil Seth), BBSRC CASE award with BT for biological modelling of multi-sensor orienting behaviour (Jon Bird), active camera control (Hanson Schmidt-Cornelius), visual modelling with dynamic neural networks (Paul Wilkin), genetic algorithm optimisation (Gabriela Ochoa). New projects include modelling of dynamic vision with generative neural nets (Helen Vassilakis) and visual attention modelling using contextual information maximisation principle (KangWoo Lee). University of Sussex (School of Cognitive and Computing Sciences) The School of Cognitive and Computing Sciences (‘COGS’) at the University of Sussex grew out of a pioneering multi-disciplinary centre for research into intelligent systems and the mechanisms underlying them. It is one of the few centres in the UK where an interdisciplinary approach to the study of Computing and Cognitive Science is encouraged. Artificial Intelligence and Neuroscience are areas in which Sussex is exceptionally strong, a view supported by the results of the last three national Research Assessment Exercises in which the Computer Science and Artificial Intelligence (CSAI) group in COGS received the highest rating (5). The COGS research groups have made pioneering contributions to computer vision, genetic algorithms, artificial neural networks, simulation of adaptive behaviour, robotics and artificial life. A joint venture with COGS and the Centre for Neuroscience at BIOLS has led to the recent opening of the Sussex Centre for Computational Neuroscience and Robotics. The School includes research groups of international standing in the areas of Computer Vision, Neural Networks, and related Simulation of Adaptive Behaviour and Artificial Life who together share well equipped laboratory space.

Site generated on Friday, 06 January 2006