School of Computer Science and Statistics
Taken- This project involves exploring the role Provenance standards can play to address issues of data linkage in health research data. The project will specifically focus on health research for the disease of Multiple Sclerosis.
Microworlds are a type of computer simulation which have proven to be very powerful tools with which to create effective learning experiences. For example a previous project developed one to teach about nati0nal waste management. This project will involve developing a microworld to help teach about the challenges involved in tackling the housing crisis. The … Read more
The use of technology in education continually evolves. Use of AI in educational practices and the impacts is might have are topics of current discussion by students, academics and institutions. The focus of this project is to take a technology ethics approach to collecting opinions on the role of AI in education. This project … Read more
This project will focus on improving sales forecasting in the automotive industry using traditional forecasting methods (e.g., ARIMA) and machine learning models (e.g., Isolation Forests).Â
Microworlds are a type of computer simulation which have proven to be very powerful tools with which to create effective learning experiences. For example a previous project developed one to teach about nati0nal waste management. This project will involve developing a microworld to help teach about managing personal finances. The tool is aimed at Transition … Read more
TAKEN RTEMS (https://www.rtems.org/) is an open-source real-time operating system widely used in aircraft and spacecraft. It offers a comprehensive API, mostly defined in terms of “managers” that provide calls to perform specific kinds of services or provide specific infrastructure. As part of an activity sponsored by the European Space Agency (ESA) we have developed a … Read more
TAKEN Cubesats are small satellites that are built as on ore more 10cm-sized cubes. There is a growing industry for developing and launching these. Typically their computing requirements are relatively low, and so they often use lightweight versions of operating systems. This project looks at using Promela/SPIN to model and do test generation for some … Read more
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This project will develop a procedural facial feature adjustment system for Unreal Engine MetaHumans that dynamically modifies key facial characteristics based on psychological associations between facial traits and personality impressions—for example, enlarging eyes to convey honesty or adjusting jawline to suggest dominance. The system will map established psychological findings about how facial features … Read more
This project aims to enhance the visual diversity and realism of crowds in real-time virtual environments by combining AI-driven texture generation for clothing with procedural variation techniques applied to a limited set of template MetaHumans in Unreal Engine. By leveraging state-of-the-art AI models to generate diverse, high-quality clothing textures dynamically, the project will create varied … Read more