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PhD topics for research students

Find below a list of currently available self-funded PhD topics.

We encourage all students to contact the supervisor or the alternative contact person for more information and an informal chat to discuss the process of applying and preparing your research statement. For more information on how to apply click here.

Medical image segmentation and classification
Medical image segmentation helps clinicians focus on a particular area of the disease and extract detailed information for a more accurate diagnosis. The key challenges associated with medical image s...
Self Funded
AI system for Vehicle to Grid power management
Artificial intelligence and machine learning approaches have been utilised for managing power systems, however, the introduction of the electric vehicle made power management more difficult due to the...
Self Funded
Circular economy in electricity networks with high penetration of renewable energy and flexibility provisions from end-of-life EV storage
Net zero targets can be achieved through intertwined solutions from fields such as renewable energy, energy efficiency, high value recycling and transportation. With first generation electric vehicles...
Self Funded
Fast implementation of Deep Neural Networks for IoT devices
Deep neural networks (DNNs) have found great success in many computer vision-related tasks. However, most of the existing DNNs require high computation and storage cost. In this project, the student w...
Self Funded
AI for power management of a domestic district integrated energy system
An urban or domestic district energy system typically consists of micro wind turbines (WT), PV panels, heat pumps (HP) and vehicle to grid (V2G) system for the residents. This project aims to study th...
Self Funded
Using deep learning for weed detection
Although the deep learning area has made a major breakthrough in the latest developments, there are still numerous challenges that have to be resolved when working with real-world data. In this partic...
Self Funded
User experience in Extended Reality environments and applications
Extended Reality (XR), which covers Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), is already in the rise with applications from manufacturing to health to gaming, to name but ju...
Self Funded
Exploring the potential of serious games to enhance user engagement with real-world applications
Serious games, which are defined as digital games that do not have entertainment as their main focus, have been shown to be an effective platform for improving training, education or modifying objecti...
Self Funded
Development of personalised services and applications for healthcare
The Internet of Things (IoT) is becoming a reality and is increasingly getting more integrated in our everyday lives. Its interplay with Mobile Computing is a key ingredient in this. Smartphones are e...
Self Funded
Building Information Model Development Using Generative Adversarial Networks
Generative Adversarial Networks (GAN’s), are an approach to generative modelling using deep learning methods, such as convolutional neural networks. Generative modelling is an unsupervised learning ta...
Self Funded