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We have 21 University of Sheffield Electrical Engineering PhD Projects, Programmes & Scholarships for Self-funded Students

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University of Sheffield

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University of Sheffield Electrical Engineering PhD Projects, Programmes & Scholarships for Self-funded Students

We have 21 University of Sheffield Electrical Engineering PhD Projects, Programmes & Scholarships for Self-funded Students

Can biophotonics help prevent spontaneous pre-term birth?

Spontaneous pre-term birth (sPTB) costs the UK NHS over £1billion annually and is a major cause of disability in the young. Babies that are born before the normal 38 weeks of gestation must spend the first weeks or months of their lives being kept alive artificially in incubators. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Self-folding Origami ”Robots” for Cognitive Smart Materials

Background: . With the development of smart materials capable of sensing and changing states, the realisation of 'robots' that are paper-like materials but that can fold themselves up, start moving, and adapt to the situation while sensing their environment is becoming a reality. Read more

Automatic Object and Behaviour Recognition in Video/ Image Sequences

Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. Read more

Application of predictive control to fast systems

Predictive control is relatively unwieldy and therefore does not lend itself to applications requiring fast sample rates. However many recent developments have looked at how the algorithm can be implemented both more efficiently in time and with relatively simple coding requirements. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more

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