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Building healthy esports communities

The number of competitive games has been increasing more than ever in recent years. Popularization of esports might have contributed to this surge with organized championship events and large audiences. A majority of esports games require cooperation with teammates while competing against another team. While competition is enjoyable to many players, it can also lead to negative behaviors, also known as toxic behaviors. In fact, many esports communities are known to be toxic, especially towards minorities.This project will:investigate current game …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Virtual reality esports

Esports is the spectator-oriented form of competitive computer games and has recently emerged as a major sporting and cultural phenomenon. Millions of dollars are spent in sponsorship, drawing in large crowds as a marketable spectator sport. Universities around the world are developing esports as campus student activities and as representative sporting teams. QUT has its own esports centre, the first university esports centre in Australia.Virtual reality (VR) is an emerging trend in the esport space, however, it is only in …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Longitudinal modelling and analysis of elite swimming performance

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Time series modelling of athlete performance using wearable technologies

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Benchmarking elite athletes using multilevel models

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Leveraging Bayesian inference and machine learning: Dynamic Bayesian Networks for managing resilience

Dynamic Bayesian Networks (DBNs) provide a way to represent complex systems and their evolution over time by capturing cumulative local interactions between variables to infer global effects. They feature great flexibility and widespread applicability as demonstrated by applications in ecology, medicine, genetics, logistics and many more. Coming from machine learning and statistics, they are a generalised form of Hidden Markov Models (HMMs) and Kalman Filters. Here at QUT, exciting new developments of DBNs for systems that change over time led …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Development of impact resisting auxetic pad

Auxetic materials are being used in the fields of biomedical, sports and defence for protective applications. Their application in civil engineering is emerging particularly for impact resistance of structural members due to their unique negative Poisson’s ratio (NPR).This research is aimed at developing a 3D auxetic pad which exhibits NPR can provide better resistance against impact loads caused by, for example, derailed wheels impacting bridge deck, through high energy absorption.

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Civil Engineering and Built Environment

From annual reports to evaluation portfolios: developing nonprofit impact evaluation narratives

The Australian Accounting Standards Board (AASB) Exposure Draft: ED270 - Reporting Service Performance Information placed mandatory annual performance reporting for nonprofit organisations on the national agenda. The exposure draft specifically noted the need for nonprofit organisations to achieve service performance objectives and impact, and provide this information in a way that's useful for accountability and decision-making purposes.While reporting outputs and outcomes is relatively unproblematic, reporting impact is both very important and difficult. Impact evaluation narratives require stakeholder engagement, qualitative analysis …

Study level
Master of Philosophy
Faculty
QUT Business School
Lead unit
School of Accountancy

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