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 507 matching student topics
Displaying 193–204 of 507 results
Local drug delivery to prevent osteosarcoma recurrence and metastasis
Osteosarcoma (OS) is the most common primary bone cancer in children and adolescents. Despite aggressive treatment involving multi-agent chemotherapy and wide surgical resection, survival outcomes remain poor, with five year survival as low as 13% for patients with metastatic or recurrent disease. Current treatment relies heavily on systemic chemotherapy, which is associated with significant toxicity and long-term side effects, including cardiotoxicity, nephrotoxicity, and impaired growth and fertility. Local recurrence occurs in up to 30% of patients after surgical resection, often …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
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
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
From feedback loops to actionable insights: system dynamics modelling for sustainable energy systems
Energy systems are becoming increasingly complex, shaped by fluctuating renewable supply, evolving user behaviour, and dynamic market structures. To navigate this complexity, system dynamics (SD) modelling (Sterman, 2000) offers a powerful lens to understand and influence the behaviour of energy systems over time. By visualising and simulating feedback loops, stock–flow structures, and interdependencies (Fang et al., 2018), SD modelling can help generate actionable insights for designing resilient, adaptive, and user-centred energy solutions.This project explores how SD modelling can support innovation …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Energy Transition Centre
International policy approaches to food sovereignty
This project will be a desktop document review of international policy preferences to food sovereignty.Food sovereignty is the right of peoples to health and culturally appropriate food produced through ecologically sound and sustainable methods, and their right to define their own food and agriculture systems. It incorporates the intergenerational transfer of cultural knowledge through food which is fundamental to maintaining identity, connectedness and traditional practices. The concept has traction in Canada, USA, and Aotearoa, but is only starting to gain …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
Leveraging AI-driven cognitive computing for energy systems innovation
The transition toward a more sustainable energy system is generating vast volumes of data from distributed sources such as smart meters, energy sensors, and user-end devices. Energy informatics highlights the crucial role of information systems in optimising both energy supply and demand (Watson et al., 2010). In this project, we explore how cognitive computing systems (CCS), integrating artificial intelligence (AI), cognitive psychology, and neurobiology, can strategically transform energy informatics by creating adaptive, explainable, and human-aligned energy solutions.Leveraging advances in CCS …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Energy Transition Centre
Intergenerational responsibility of the sustainable energy transition: rethinking socio-technical systems through Indigenous knowledge
As the global community works to limit global warming to 1.5°C, accelerating the transition to sustainable energy systems remains a pressing challenge (IPCC, 2023). This transition is not only technical but deeply social, with intergenerational equity emerging as a critical concern. Decisions made today regarding infrastructure, resource use, and system design will have lasting consequences for future generations (UN, 2021). Indigenous knowledge systems, which emphasise long-term stewardship and relational accountability, offer valuable insights into rethinking socio-technical systems for sustainable futures …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Energy Transition Centre
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