School of Computer Science and Statistics
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 will be supported by colleagues in the School of Medicine and the PARADISE research group. ANCA Vasculitis is a rare auto-immune disease in which sufferers are susceptible to flares, whereby a person’s immune system attacks their own body. This project will involve analysing data measuring patient’s quality of life using the EQ-5D procedure. … Read more
In this project you will use public datasets from Met Eireann and Dublin City Council to understand which factors influence cycling participation in Dublin. Very broadly, the goal of the project is to try and understand what kinds of policy decisions might help to promote active travel. This project will be supported by a colleague … Read more
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 will be to analyse data extracted from an online survey of adults who have received a … 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
As a piece of language, a narrative may be regarded as a sequence S of sentences about a sequence E of events. The possibility that the order of E does not align with S (violating so-called iconicity of sequence) is one of many challenges in understanding narratives. Others include the variety of granularities and the … Read more