Dr Gordon Dickers BSc, PGCE, MSc, PhD, MBCS, MIEEE
Senior Lecturer in Applied Computing
Tel: +44 (0) 1792 481038
Portfolio Manager for the School’s Undergraduate Computing courses.
Lecturing in AI and Machine Learning, Computer Graphics and Games Development, C++ and Software Engineering
My first degree was in Electrical and Electronic Engineering with an early career in the Aerospace as sector as a Design and Development Engineer developing both hardware and software for gas turbine engine controllers.
I now teach full time on both postgraduate and undergraduate Applied Computing courses. Subjects include Artificial Intelligence & Machine Learning , C/C++ Programming, Games Physics and Maths, Games Programming and Graphics, Algorithms and Data Structures, Interactive Graphics Programming and High Performance Computing for Games.
I am actively engaged in research. My research interests include machine learning and deep learning methods for real-time applications and includes research in real-time posture assessment.
I am involved in research and development of underwater sensor networks – our group has published several papers relating to advanced underwater sensor networks. I am also involved in research related to computer games, and graphics.
I am an External Examiner and have been actively involved with the British Computing Society (BCS) in Wales.
- I am a founding member of the BCS in Wales Universities Group.
I have taught a range of Computer Science subjects at undergraduate and postgraduate level including Artificial Intelligence & Machine Learning , C/C++ Programming, Formal Methods, Software Engineering Principles, Games Physics and Maths, Games Programming and Graphics, Algorithms and Data Structures, Interactive Graphics Programming and High Performance Computing for Games.
I supervise and exam MSc and PhD students.
My research interests include posture analysis using depth cameras; AI and Machine Learning; Computer Graphics and Visualisation; Implementation of low power, real-time deep learning algorithms; Underwater Sensor Networks (USNs).
As well as being actively engaged in research focused on AI and machine learning, I also teach these subjects at postgraduate level to MSc students both in class and online, domestically and internationally. I also supervise postgraduate projects and research students and have acted as external examiner at several universities in the UK.
I have designed, developed and taught several industry focused courses.
G. Dickers, J. Rees, T. Bashford, O. Ademoye, “Effectiveness of Curvature and Signal Derivatives in Fast Curve Segmentation”, Conference Proceedings UKSim2021, AIMS2020/21, International Journal of Simulation Systems, Science & Technology, vol. 22, 2021
Xianhui Che, Ian Wells, Gordon Dickers, Paul Kear, “TDMA frame design for a prototype underwater RF communication network”, Ad Hoc Networks, Elsevier, volume 10, issue 3, May 2012, 317–327
Xianhui Che, Ian Wells, Gordon Dickers, Paul Kear, Xiaochun Gong, Re-Evaluation of RF Electromagnetic Communication in Underwater Sensor Networks, IEEE Communications Magazine, December 2010 Xianhui Che, Ian Wells, Gordon Dickers, Paul Kear, Xiaochun Gong, Mark Rhodes “Node Pattern Simulation of an Undersea Sensor Network using RF Electromagnetic Communications”, Proceedings of the IEEE International Conference on Ultra Modern Telecommunications (ICUMT 2009), St Petersburg, Russia, October 2009.
Xianhui Che, Ian Wells, Paul Kear, Gordon Dickers, Xiaochun Gong, Mark Rhodes, “A Static Multi-Hop Underwater Wireless Sensor Network Using RF Electromagnetic Communications”, Proceedings of the 2nd IEEE International Workshop on Specialized Ad Hoc Networks and Systems (SAHNS 2009), Montreal, Canada, June 2009.
Xianhui Che, Ian Wells, Gordon Dickers, Paul Kear, Xiaochun Gong, Mark Rhodes, “Failure Tolerance Analysis of a Small Scale Underwater Sensor Network with RF Electromagnetic Communications”, Proceedings of the 3nd IEEE International Conference on Sensor Technologies and Applications (SENSORCOMM 2009), Athens, Greece, June 2009