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Development of a device to assist individuals with significant visual degradation

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.

Development of Thermal Imaging to Monitor Wounds in Skeletal Surgeries

The aim of this project is to develop innovative thermal imaging solutions to assess and monitor inflammation and surgical tissues' reaction and the time taken for them to settle down after skeletal surgeries.

Non-destructive evaluation of advanced materials’ thermo-mechanical behaviour

This project aims to prevent catastrophic failure as well as safe and economical management of the structures

Full Time Split PhD Students

Elishia Loo and Mavis Chaw postgraduate research story

Development of accelerometry to assist in vestibular dysfunction examinations and to reduce falls

This study aims to develop accelerometry techniques in order to accurately measure the body's posture and movements and use signal processing and artificial intelligence methods to analyse and interpret the information.

Development of techniques to predict probability of survival in trauma

This project aims to study a variety of artificial intelligence and statistical methods will be developed to predict probability of survival in trauma.

Robotics and dementia: Design a robot as a companion for people suffering from dementia

The project's aim is to design a companion robot which will move around in a residential area, home or care home.

Advanced real-time control and optimisation of mixed fermentation of beers

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

Tags:
Research

Examples of Previous Research Opportunities

A list of past and present PhD research opportunities at Sheffield Hallam University's Materials and Engineering Research Institute

Power system estimation based on deep learning and system area mapping

The aim of this study is to develop a deep learning based power system state.

 

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