We have 34 Ulster University - Magee Campus PhD Projects, Programmes & Scholarships

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Ulster University - Magee Campus

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Ulster University - Magee Campus PhD Projects, Programmes & Scholarships

We have 34 Ulster University - Magee Campus PhD Projects, Programmes & Scholarships

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The Impact of the Transition to Further and Higher Education on Health-behaviours (Physical Activity and Sedentary Behaviour)

Physical inactivity and excessive sedentary behaviour (SB) are established risk factors for various health conditions. Declining physical activity (PA) participation coincides with key transition periods across the life cycle, including the move to Higher Education (HE). Read more
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In-situ monitoring of metal deposition for robotic Wire Arc Additive Manufacturing process

  Research Group: Engineering
A group at Ulster University are strongly engaged in developing computer models of metal additive manufacturing processes. These models have been applied to industrial settings and are useful in solving practical problems such as the avoidance of defect formation in Powder Bed Fusion processes. Read more
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Neurotechnology/AI-enhanced XR for Digital Healthcare

This PhD project intends to explore the combination of artificial intelligence (AI) and biometric/neurotechnology data in enhancing the practical applications of XR within digital healthcare. Read more
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Advancing Medical Image Analysis through Hexagonal Structured Deep Learning Networks

Medical imaging techniques such as X-rays, MRI, CT scans, and ultrasound have revolutionised healthcare by providing non-invasive means to visualise the internal structures of the human body. Read more
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The Application of Functional Encryption to Large Data Sets

While functional encryption holds great promise for secure and flexible data access control, its application to large datasets is hampered by challenges. Overcoming these challenges requires not only advancements in cryptographic techniques but also in computational efficiency, key management, and system integration. Read more
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Segmentation from Explanations: An Explainable-AI Approach for medical image segmentation

Image segmentation is a challenging task of simultaneously performing object recognition and boundary segmentation. The recent advances in deep learning models have resulted in precise and accurate representation of the objects of interest within the image and increased performance improvements. Read more
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Artificial Intelligence Empowered Human-Machine Partnership for EXtended Reality ensuring Safety and Human-centric Solutions

The first ever AI Safety Summit, held in the UK in November 2023, has highlighted many challenges associated with the uncertainties surrounding the future of Artificial Intelligence (AI) and the rapid pace at which this dynamic field is evolving. Read more
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Ethical AI - can wearable sensors with embedded AI detect Parkinson’s Disease symptoms?

We are seeking to find out if AI-embedded sensors can ethically detect Parkinsons disease. Parkinson’s Disease (PD) is a common and disabling condition that affects millions of people worldwide. Read more
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Robotic In-hand Object Manipulation with tactile sensing

Although the ability for a robot to determine an object’s properties by touch has been investigated for many years, recent developments in tactile sensors has increased interest in this field. Read more
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Hyperdimensional representations for neuromorphic computation

Brainlike cognitive models that depend on very high dimensionality and randomness have emerged over the years. They represent things in high-dimensional vectors that are manipulated by operations that produce new high-dimensional vectors, in what is often referred to as hyperdimensional (HD) computing. Read more
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Cross-view geo-localisation for UAV applications

Cross-view geo-localisation is the task of matching the same geographic target using images obtained from different platforms, such as ground view, drones, aerial imaging and satellites. Read more
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Audio-visual cues for cobotics

Smart manufacturing, involving robotics, automation and humans, has become a key focus globally. With this radical change in manufacturing comes the need for humans and robots to co-exist in shared environments. Read more

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