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The aim of this study is to develop a device that can assist blind or those with severely impaired vision to be able to have an improved ability to be able to walk safely in public places.

This research proposes the use of Artificial Intelligence techniques (including machine learning, intelligent signal processing, and advanced computer vision techniques) in analysing these large scale data sets to enable both remote condition monitoring of machinery and advanced process optimisation.

Dr Stirling trained as a product designer (Northumbria University) and before moving to academia worked in the design industry in interiors and games design. She gained her PhD from the School of Education at the University of Sheffield and in this she took a longitudinal ethnographic approach studying Facebook use by students in transition. She is interested in the proliferation of digital spaces within our everyday lives and the relationship between time and space within these.

This project aims to analyse patient's posture and pattern of movement before and after skeletal surgeries.

In this study a device consisting of a microprocessor, user interface and suitable integrated software will be developed to assist people with significant memory degradation to enable them to have an improved like experience.

This PhD project will focus on developing, improving and optimising advanced real-time control strategies in mixed fermentation.

Profile for Janet Onyia, Governor Apprentice and External Co-Opted Member of the Finance and Employment Committee

The aim of this project is to develop and validate new numerical models using Finite Element Analysis (FEA), in order to determine the static and dynamic performance of regular and irregular lattice structures which are used in additive manufacturing and 3D printing.

This project aims to evaluate parameters of microwave energy and repair material characteristics.