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 542 matching student topics
Displaying 85–96 of 542 results
Reinforcement learning for fair and ethical AI systems
This project studies how reinforcement learning (RL) can help make automated decisions fairer. Instead of fixing fairness after training, fairness is built into the learning process to create more equal outcomes for different groups. The focus is on important areas like hiring, healthcare, and finance, where biased AI can cause real harm.The aim is to reduce unfair bias while keeping the system accurate, helping create AI that is both effective and socially responsible. You will learn about advanced RL methods, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Efficient predictive models using physics-informed machine learning
This research explores how advanced physics-informed neural network models can guide the development of simplified yet accurate predictive systems across scientific and engineering domains. The work spans machine learning, computational physics, and applied mathematics, addressing the critical challenge of creating efficient models that maintain physical consistency and predictive reliability.Recent advances in neural operator learning and physics-informed architectures have demonstrated potential for dramatically reducing model complexity while preserving domain-specific knowledge. This research investigates generalisable frameworks for developing simplified predictive models that …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Digital twin in medical or sports context
Digital twins are virtual models of physical systems that use real-time data to mirror, simulate, and analyse behaviour. In medical and sports domains, they offer exciting opportunities for innovation.This project focuses on exploring these applications and aims to create digital twins to better understand and improve outcomes in these rapidly evolving fields.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Australia's urban and regional atmosphere: investigating influences on air quality
Global concern about urban air quality has been steadily increasing in recent years. However, most studies on the factors influencing air quality have focused on heavily polluted regions or locations in the Northern Hemisphere, where weather patterns, industrial activity, and vegetation differ significantly from those in Australia.Historically, urban areas in Australia have enjoyed relatively good air quality. Yet, rising population density, deforestation, and land use changes are placing increasing pressure on this status. Furthermore, the natural emissions from Australian vegetation …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Exploring courage in followers: psychometric instrument analysis and literature review
This research project centers around the validation of a newly developed psychometric instrument designed to measure 'courage in followers' - a timely and underexplored construct in leadership research. The project offers a unique opportunity for a student to work directly on a publishable paper intended for submission to a top-tier leadership journal. This project will suit students interested in organisational behaviour, leadership, and the quantitative side of psychological research.You will be provided with a $2000 stipend to cover the duration …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Management
Monitoring Corneal Immune Cell Changes After Anti-Inflammatory and Immunosuppressant Eye Drops Using In Vivo Confocal Microscopy
This project investigates how corneal immune cells in the human eye respond to topical anti-inflammatory and immunosuppressant eye drops. By using in vivo confocal microscopy, we aim to monitor real-time cellular changes to better understand treatment effects in common ocular surface conditions.
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Vision and Eye Research
Centre for Vision and Eye Research
Accountability in the nonprofit sector: governance, transparency and sustainability
Nonprofit organisations (NFPs) are under increasing scrutiny to demonstrate financial transparency, governance effectiveness, and sustainability commitment. This project explores how structural, cultural, and regulatory factors shape accountability in the NFP sector. Using archival, survey and interview data, candidates can investigate financial disclosures, sustainability practices, or resource allocation mechanisms.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
- Research centre(s)
-
Australian Centre for Philanthropy and Nonprofit Studies
Trust and transformation in corporate reporting: audit, governance and ESG assurance
This project investigates how corporate reporting is shaped by audit quality, board oversight, and emerging ESG assurance practices. With regulatory shifts like the AASB Climate Disclosure Standard and ASSA 5000, the project explores how auditors, boards, and regulators interact to deliver credible disclosures. Cross-country data, especially from Australia, Korea and China, can be used to evaluate assurance frameworks, audit judgement, or ESG strategy governance.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
- Research centre(s)
- Centre for Future Enterprise
3D scene reconstruction for medical application
New computer vision methods using machine learning can reconstruct 3D dynamic environments. We are working on medical application to track clinicians, patients body, lesions and tools. Those techniques can be applied for tracking injuries (e.g. wound), providing analytic of operating theatre, and provide guidance for surgical intervention.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Explainable AI for medical imaging
AI is increasingly used for interpreting medical images (e.g. MRI, CT, X-ray) in order to diagnose or monitor diseases. We are working on methods that can explain the AI decision and provide supplementary information. For example, if AI detect an abnormality, we want to generate the same scan without the abnormality. Another example is to detect automatically an area that is suspicious just by learning what healthy scans look like.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Impact assessment of mega events including Olympics
Mega events such as the Olympics or the Expo promise significant social and economic impacts. However, research in this field is limited in terms of methodologies, data as well as empirical case studies.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
Exploring climate-related processes of the Southern Ocean atmosphere
Are you curious about how the Earth's most remote oceans shape our climate? Passionate about data science, scientific discovery, and the polar atmosphere?Join a unique research project that takes you straight into the heart of cutting-edge Antarctic atmospheric science.The Southern Ocean and Antarctic regions are among the fastest-changing and least-understood parts of the planet. Climate models consistently struggle to simulate clouds there and one big reason is aerosols which are microscopic particles that act as seeds for cloud formation and …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
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