Academic Staff |
Dr. Simon Egerton
B.Sc, M.Sc, Ph.D (Essex)
Dr Egerton joined the School of Information Technology as a lecturer in 2006 after having previously worked in industry with embedded and real-time systems. He holds a PhD in Computer Science from the University of Essex in the United Kingdom.
Dr Egerton is currently a member of the Centre for Research in Intelligent Systems (CRIS). |
- Operating Systems
- Information and Network Security
- Unix Tools
- Computer Programming 2
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In Brief:
Autonomous mobile robots (especially mapping, spatial representation, visually guided), pervasive computing (especially intelligent buildings), grid and quantum computing, Intelligence in real-time and embedded systems, neural networks, genetic algorithms.
In Detail:
I have broad research interests within Artificial Intelligence with particular interest in neural networks, genetic algorithms, fuzzy logic and image processing and their application to autonomous mobile robots. I believe in an interdisciplinary approach to research and my research to date has included studies of autonomous mobile robot navigation, mammalian neurology and behavioural psychology with relation to spatial representation and navigation. I have interests in environment modelling using sensory perception data acquired within hard real time environments and in developing vision as the primary means of deriving reliable odometry data and location information. I also have interests in extending my work into the area of intelligent buildings, with an emphasis on enhancing the user friendliness of buildings.
Please contact me if you are interested in pursuing either an MPhil or PhD in these or other areas of AI.
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Egerton, S.J., and Callaghan, V. (2000*), "From Mammals to Machines: Towards a Biologically Inspired Mapping Model for Autonomous Mobile Robots", 6th International conference Intelligent Autonomous Systems, July, Venice, Italy.
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- Tan C.L., Egerton S. & Ganapathy V. (2007), "Real-Time SLAM using Binocular Vision for Autonomous Mobile Robots", Conference on Innovative Technologies in Intelligent Systems & Industrial Applications (CITISIA 2007), 17-19 November 2007, Selangor, Malaysia
*Publication attributed to the University of Essex, Wivenhoe Park, Essex, United Kingdom
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- Quantum Controllers for Co-operative Autonomous Bipedal Robots
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- Information Extraction in Web using Statistical and Visual Knowledge-Beyond Text Mining (2007)
- A Robust Real-Time Binocular Vision Feature Tracking Model for Autonomous Robots in SLAM (2007)
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