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Developing predictive models, methods and analytics for complex sports data

A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Analysis of professional squash matches

This project concerns computer vision and statistical analysis of performance in professional level matches in the game of squash.The goal is to use computer vision and existing systems to capture and analyse patterns of play, allowing coaches and professional players to develop strategies to improve performance, to counter particular types of play and even to tailor game plans to attack individual opponents.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Predicting how fast the next Olympic medalists will swim

A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) is currently under way. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Sport AI

Videos of sport activities are widely available at large scales. AI and its sub-fields, especially computer vision and machine learning, have a great potential to analyse, understand and extract useful information from these videos.This project aims at using AI and its subfields in computer vision and machine learning to develop techniques for analysing sport videos to extract intelligence for players and coaches.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

The efficacy of Mental Health First Aid (MHFA) training in community sport

Organised sport is primarily community based in Australia; and the benefits of sport participation to individuals and communities are well documented. However, there is also evidence that participating in organised high-performance sporting programs is associated with psychological distress, elevated relative to community norms, which would usually warrant a need for care by a health professional. As such a case for improvement in mental health education and practice in sporting communities exists.Mental Health First Aid (MHFA) is a standardised, psychoeducational programme …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Exercise and Nutrition Sciences

The benefits of custom fit compression garments on markers of performance and recovery

Cape Bionics has its foundations in the aerospace industry in the design of compression suits worn by astronauts on the international space station. The research which underpinned the design of these space suits has now been applied to sport as a means of improving performance and recovery in elite athletes.For compression garments to be effective they must fit perfectly and apply specific pressure regimes. Cape Bionics use technology from the medical and aerospace industry to provide custom fit compression garments …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Gaming behaviour: How schools might utilise eSports as a means of teaching self-regulation and social skills

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Early Childhood and Inclusive Education
Research centre(s)

Centre for Inclusive Education

“No vaccine = no service” – Investigating consumer reactions of service exclusion

A growing number of countries in Europe have introduced a ‘hospitality green pass’ (EU Digital COVID Certificate) which is a paper document or app that proves the holder has been fully vaccinated or recovered from COVID-19. It grants consumers access to indoor restaurants, bars, cafes and other indoor venues. That is, without proof of a COVID-19 vaccination, consumers will be prohibited to enter these indoor areas.However, the introduction of green passes has also led to some backlash. For instance, some …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Scheduling of vessel movements in channel constrained ports

International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

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