School of Computer Science and Statistics
[FYP] In this project, you will improve the realism of emotion on Metahumans in Unreal Engine by developing a realistic tear system, where tears are affected by gravity, and smudge in contact with make-up for added realism. Also part of the project will be motion capturing crying animations, and evaluating the resulting emotion with and … Read more
This project deals with tracking interactions between real world objects and simulating the effects of the interaction in MR/AR e.g. a ball hitting a real table creates ripples as if the table is water; a pen touching a table to virtually paint patterns on it; a hand tapping a wall to create virtual cracks. The … Read more
The performance of artificial intelligence based learning models is often initially assessed using well established benchmark datasets. However, satisfactory performance on these datasets does not guarantee similar performance in real-world settings where the data may be significantly more imbalanced. For example, in a medical dataset a positive diagnosis may be a relatively rare event and … Read more
Vehicles are equipped with ever increasingly advanced communication and sensing resources, giving rise to the need for effective mechanisms to utilise and leverage the large amounts of data they gather. For example, this data could be used to predict traffic flow and to monitor driver behaviour. There are many different, distributed machine learning techniques that … Read more
Project Description: Optical fibre networks are critical to global connectivity, yet they are susceptible to accidental damage or deliberate tampering. While distributed acoustic sensing (DAS) has been widely investigated for disturbance detection, an alternative approach relies on monitoring the state of polarisation (SOP) of light propagating in the fibre. The SOP is highly sensitive to … Read more
*This project has been taken and is no longer available* This project will be supported by a colleague in the National Transport Authority (NTA) and is suitable for students in the Statistics and Sustainability, Statistics and Data Science, and Data Science MSc programmes. Contact me for further details. Following each census, the CSO releases small … Read more
*Please note this project has been taken and is no longer available* This project will be in collaboration with Prof. Olive Healy in the School of Psychology and is suitable for students in the Statistics and Data Science, Statistics and Sustainability, and Data Science MSc programmes. The goal of this project is to examine how … Read more
Machine learning models are increasingly used to predict time-to-event outcomes — for example, how long a patient might survive after treatment or when a machine is likely to fail. Unlike standard predictions, these models produce survival curves, which change over time. Existing explanation tools like Shapley values can tell us which features matter, but they … Read more
Reassembly of archeological artifact fragments requires considerable time and manual effort for researchers along with a necessity to handle potentially fragile material. It would therefore be advantageous for this process to be automatic. In this project we will work on creating a method for matching 3D scans of ancient animal bone fragments in order to … Read more
As the need for privacy-aware sensing grows, Wi-Fi-based human pose estimation is emerging as a viable alternative to vision-based systems. However, transmitting and processing large volumes of channel state information (CSI) poses a significant challenge, particularly for edge devices with limited resources. This project proposes a scalable AI-driven framework that compresses CSI data using vector … Read more