51Âþ»­

Dr Pamela Hardaker

Job: Associate Professor Student Experience

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Research group(s): Institute of Artificial Intelligence, School of Computer Science and Informatics, 51Âþ»­, Leicester LE1 9BH, UK

Address: 51Âþ»­, The Gateway, Leicester, LE1 9BH

T: N/A

E: pamela.hardaker@dmu.ac.uk

W: /cci

 

Personal profile

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 51Âþ»­.  She completed her BSc at 51Âþ»­ 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 51Âþ»­ to continue her work as a PhD which she completed in 2019.

Research group affiliations

Institute of Artificial Intelligence, School of Computer Science and Informatics, 51Âþ»­, Leicester LE1 9BH, UK

Key research outputs


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.

Research interests/expertise

Research interests include using artificial intelligence to improve the quality of life of people with disabilities. Other specific research interests Neural Networks, Genetic Algorithms, Signal Processing, Feature Selection, Decision Making and Embedded Systems.

Qualifications

Batchelor of Science in Information Technology, 51Âþ»­, Leicester – 1995

Master of Science in Intelligent Systems and Robotics, 51Âþ»­, Leicester – 2014

Phd in Computer Science 51Âþ»­, Leicester – 2019

 

Courses taught

Computer Games Programming BSc (Hons) – Mobile Robotics

Membership of professional associations and societies

Student Member of the Institute of Electrical & Electronics Engineers (IEEE) since 2013.

Internally funded research project information

Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses, High Flyers PhD scholarship from 51Âþ»­ University, 20014 – 2017, PhD student under supervision by: 51Âþ»­ Dr Ben Passow, Prof David Elizondo, Prof David Corne and Prof Martin Grootveldt.