Fantasy Football Assistant [TAKEN]

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. 

Efficient in-place sparse matrix transpose [Taken]

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

Rugby Analytics [TAKEN]

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

Translating Uncertain Knowledge into a Solvable Mathematical Model for Process Optimisation 

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

[TAKEN] Develop a curl test setup for ECH

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