Dr Giles Tewkesbury
Biography
I am a Principal Lecturer in the School of Engineering. I have a BEng(Hons) degree in Electrical and Electronic Engineering, and my PhD thesis concerned "Design using Distributed Intelligence within Advanced Production Machinery". I oversee the area of Computing and Electronics in the Systems Engineering Research Group and have been an investigator on many research projects.
Research interests
- Intelligent Sensors
- Electronic Design and Firmware design
- Assistive Technology
- Powered Wheelchairs
- .Net programming
- AI for programming advanced manufacturing machinery
- Intelligent human-computer interfaces
Research outputs
2024
Intelligent scanning collision avoidance device with risk assessment
Haddad, M., Shamieh, J., Sanders, D., Gharavi, A., Tewkesbury, G., Hassan-Sayed, M., Langner, M.
1 Aug 2024,
Research output: Conference contribution
The digital scanning collision avoidance device with risk assessment
Haddad, M., Shamieh, J., Sanders, D., Gharavi, A., Langner, M., Tewkesbury, G., Hassan-Sayed, M.
1 Aug 2024,
Research output: Conference contribution
2023
Human machine interaction using zero force sensing switches incorporating self-adaptation
Langner, M., Sanders, D. A., Tewkesbury, G., Zhou, S., Haddad, M.
2 Feb 2023,
Research output: Conference contribution
2022
Control of a semi-autonomous powered wheelchair
Sanders, D., Tewkesbury, G., Haddad, M., Kyberd, P., Zhou, S., Langner, M.
19 Apr 2022,
Research output: Conference contribution
Mathematical model for a compressed air system that couples demand and supply
Thabet, M., Sanders, D., Tewkesbury, G.
1 Jan 2022, In: Journal of Mathematical Modelling and Numerical Optimisation. 12, 1, p. 1-14, 14p.
Research output: Article
Intelligent user interface to control a powered wheelchair using infrared sensors
Haddad, M., Sanders, D., Tewkesbury, G., Langner, M. C., Simandjuntak, S.
1 Jan 2022,
Research output: Conference contribution
2021
Intelligent assistive sensors and smart systems for the control and analysis of driver reaction times
Sanders, D., Haddad, M., Tewkesbury, G., Barker, T., Langner, M., Gegov, A.
4 Nov 2021,
Research output: Chapter (peer-reviewed)
A neuro-fuzzy model for fault detection, prediction and analysis for a petroleum refinery
Omoarebun, P., Sanders, D., Ikwan, F., Haddad, M., Tewkesbury, G., Hassan, M.
7 Aug 2021,
Research output: Conference contribution
One shot learning approach to identify drivers
Haddad, M., Sanders, D., Langner, M. C., Tewkesbury, G.
4 Aug 2021,
Research output: Conference contribution
Facial recognition software for identification of powered wheelchair users
Tewkesbury, G., Lifton, S., Haddad, M., Sanders, D., Gegov, A.
4 Aug 2021,
Research output: Conference contribution