Program Overview

Program Overview

The proposed research program focuses on developing reliable and accurate models to predict athlete performance and career progression in Olympic and Paralympic Games. The theme of the program is Personalised Performance and Team Performance, and it is designed for PhD candidates.

Research Objective

The research seeks to advance the understanding of Olympic and Paralympic medal-winning performances by employing Artificial Intelligence (AI) and Machine Learning (ML) techniques. The study aims to develop sophisticated predictive models that consider the diverse categories of sports in the Olympic/Paralympic Games, including racing, judging, and head-to-head sports.

Research Areas

• The program will categorize sports based on their inherent characteristics and employ appropriate AI and ML approaches.
• The research will provide insights into the career progression of successful athletes in various sports.
• The program will allow for the development of more robust frameworks with which to assess long-term athlete development and performance progression.

Host University

The program is hosted by the Queensland University of Technology (QUT).

Student Type

The program is designed for PhD candidates who have been identified as suitable for the research project.