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Research Degrees

PhD research student applications are welcomed by the HCI Research Group all year round.  Research students are valued members of our thriving, research-intensive team. We are particularly interested in supervising students' research in any of the broad range of topics listed below. Please note that the topic list is not exhaustive, so feel free to contact a member of HCI with your ideas. 

Some candidate PhD topics that group members are interested in supervising in the future may include, but are not limited to:

  • Digital Financial Services
  • Mobile Money/ Currencies
  • Blockchain/Cryptocurrency Interactions
  • Video Production
  • Family and Domestic Technologies
  • In-vehicle Interactions

See below a list of available PhD projects in Computer Science that includes projects in our area:

Description
Supervisor
Application Deadline
Funding
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...
30/04/2023

Self Funded

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...
01/04/2024

Self Funded

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...
31/12/2023

Self Funded

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...
31/12/2023

Self Funded

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...
01/05/2024

Self Funded

Self Funded
Energy and CO2 Awareness during Software Design and Development
An ever-critical topic is the emergence of Green Software Engineering and how software engineering influences the environment. This project aims to advance the state of the art by defining an approach...
01/05/2024

Self Funded

Self Funded
A Machine Learning Approach for Migrating to Microservices
This project aims to advance the state of the art by defining an approach that uses machine learning techniques to automate the migration of monolithic software into microservice architecture. The pur...
07/05/2024

Self Funded

Self Funded
Advanced robust probability regression for face recognition
Robustness in statistics can be defined as "the ability of an inferential statistic or procedure that is reliable, resistant, and avoidable. The pioneering work of robust statistics was primarily crea...
31/12/2022

Self Funded

Self Funded
Advanced robust deep learning
Deep neural networks have recently achieved great success and classification, where the Loss function is an indispensable part of deep learning. Various kinds of loss functions such as mean square err...
31/12/2022

Self Funded

Self Funded
Emotion detection from brain activity
The purpose of this research project is to investigate the emotion mechanism in the human brain. Firstly, human brain architecture will be studied and a 3D model of the brain will be developed. Then, ...
31/12/2022

Self Funded

Self Funded