QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 75 matching student topics
Displaying 73–75 of 75 results
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
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
The gender profile of the insolvency profession
Given the advances in representation by women in business leadership and accountancy profession generally, is it inevitable that there remain 'gendered occupational niches'?This project investigates the nature of professional work undertaken by insolvency practitioners and profiles the state of the profession to examine whether there are any isolating influences or barriers to entry for one gender or the other. It will identify the key determinants to effective performance to the role of insolvency practitioner and whether any systemic biases become …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Representation learning for anti-microbial resistance
This project is about using neural network models help us understand Anti-Microbial Resistance (AMR), a phenomenon in which bacteria adapt to reduce the effectiveness of antibiotics, usually through a process known as Lateral or Horizontal Gene Transfer - where genes are included in the organism from other sources.Our focus will be on learning compact vector representations of biological sequences known to be associated with AMR genes. By encoding DNA sequences in this way we can more rapidly identify AMR genes …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
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