School of Computer Science and Statistics
This project aims at using sports analytics models to optimise decision-making in Fantasy Football. By integrating data from multiple sources, including player performance metrics, historical game data, and injury reports, etc., and using statistical analysis and machine learning algorithms you will predict player success and recommend optimal lineups.
A sparse matrix is a two-dimensional array where most of the elements are zero. If a very large sparse matrix is stored in normal array format, a huge amount of memory will be needed to store values that are almost all zero. Instead, large sparse matrices are normally stored in a compacted form, where only … Read more
The overall objective of this project is to explore rugby analytics with a focus on improving player performance and game strategies. The project will involve collecting and analysing data from rugby matches to identify key performance metrics, such as tackling efficiency, player positioning, and team dynamics – to provide insights that could help coaches and … Read more
ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. The student must possess knowledge of numerical optimisation methods and linear programming techniques. This project aims to bridge the gap between human language and mathematical optimisation. By developing a method that translates natural language descriptions of process optimisation goals and constraints … Read more
We contributed the code for the experimental Encrypted Client Hello (ECH) feature to the curl project. As curl is just a client, current ECH tests require use of an external ECH-enabled server, which is undesirable. The project’s goal is to make progress on devloping curl ECH tests, which likely requires development of a test server … Read more
Email is inherently a delay-tolerant application. However, modern email deployments involve online checks used by anti-spam mechanisms, non-standard UA/MS interactions, MFA client authentication and hop-by-hop encryption all of which can be problematic in the face of high delays or disruptions, and perhaps especially at scale. The project here is to analyse how significant delay and … 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 centred Machine Learning approaches, however, these methods typically rely on large-scale datasets which are … Read more
This project is intended to build on, and further develop an Irish-language AAC system that Rían Errity developed last year. The goal is to develop a facility that allows the individual user to design their own personal boards and adapt the system to their own context and requirements.