School of Computer Science and Statistics
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
The aim of this project is to understand the interplay between randomness and optimization in the choice of a Markov decision process and of a policy, working with simple examples such as tic tac toe and variants. Particular attention will be paid to entropy and its maximization.
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Sports analytics increasingly relies on machine learning models to understand and predict player behavior, strategy, and outcomes. In team sports like rugby, pose estimation models can extract player keypoints (e.g., body joint locations) from match footage or sensor data, enabling automated performance analysis. However, despite recent progress in pose-based classification tasks (e.g., identifying tackles, passes, … Read more
Sign Language Recognition (SLR) is a field of Computational Linguistics that sits at the intersection of Computer Vision and Natural Language Processing – aiming to effectively extract salient linguistic features from visual data of sign language users. Recent SLR research has centered Machine Learning approaches, however, these methods typically rely on large-scale datasets which are … Read more