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Pamela Hardaker is the Associate Professor for Student Experience in the Faculty of Computing Engineering and Media.  She is also a Lecturer in the Department of Computer Technology at Âéw¶¹´«Ã½.  She completed her BSc at Âéw¶¹´«Ã½ in 1995 when she gained a first in Information Technology.  After graduating she worked in the field of real-time software development for engine and gearbox management before moving into assistive technology. 

While working for the charity AbilityNet, Pamela helped people with a variety of disabilities to successfully access computers.  In 2008 Pamela joined Surrey County Council as an IT Trainer and e-Learning designer.  During her time here she also gained a Distinction at Master’s level in Intelligent Systems and Robotics through distance study. 

For her Master’s Degree Project, Pamela combined her interest in helping disabled people with Intelligent Systems and successfully published two papers. Following the completion of this degree she secured 1 of 5 high flyers full scholarships from Âéw¶¹´«Ã½ to continue her work as a PhD which she completed in 2019.

Hardaker, P.A., Passow, B.N., Elizondo, D. (2014) Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses. Computational Intelligence (UKCI), 2014 14th UK Workshop on, pp.1-8, 8-10 Sept. 2014

Hardaker, P., Passow, B. N. and Elizondo, D. (2013) Walking State Detection from Electromyographic Signals towards the Control of Prosthetic Limbs. Proceedings of the 13th Annual Workshop on Computational Intelligence' (UKCI'13), Guildford, United Kingdom, 9-11 September 2013.

Batchelor of Science in Information Technology, Âéw¶¹´«Ã½, Leicester – 1995

Master of Science in Intelligent Systems and Robotics, Âéw¶¹´«Ã½, Leicester – 2014

Phd in Computer Science Âéw¶¹´«Ã½, Leicester – 2019

Senior Fellow of the Higher Education Academy

Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses, High Flyers PhD scholarship from Âéw¶¹´«Ã½ University, 20014 – 2017, PhD student under supervision by: Âéw¶¹´«Ã½ Dr Ben Passow, Prof David Elizondo, Prof David Corne and Prof Martin Grootveldt.