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.

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Found 479 matching student topics

Displaying 325–336 of 479 results

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

Local sustainable procurement to support a circular local industry in fashion and textiles

The textile industry is one of the world’s largest, with global sales in 2016 of USD 1.5 trillion. It is also one of the most polluting industries, producing 20% of global wastewater, and contributing to 10% of carbon emissions. Fashion generates large amounts of waste, and has negative social and health impacts for workers.According to the European Community Action Plan (ECAP 2019), sustainable procurement has the potential to transform the fashion and textile industry acting as a driver for local …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Road map to local circular communities: strategies, barriers, enablers.

The textile industry is one of the world’s largest, with global sales in 2016 of USD 1.5 trillion. It is also one of the most polluting industries, producing 20% of global wastewater, and contributing to 10% of carbon emissions. Fashion generates large amounts of waste, and has negative social and health impacts for workers.Circular economy would address these issues, keep clothes and textiles at their highest value and keep clothes in continuous circulation. The transformation of the sector requires a …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Exploring the value and potential of hyperlocal gift economies

The Australian federal government has committed to achieving net-zero carbon emissions by 2050 to address and reverse the effects of climate change and transition to a circular economy. Achieving net-zero will require a shift in how we use, share and dispose of products, and our relationship to our local communities and planet.In other words, this goal will require an extraordinary shift in the way we ordinarily live. As informal practices of circularity are already happening across Australian neighbourhoods, they have …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design

Developing a precision oncology workflow for Osteosarcoma treatment

Osteosarcoma (OS) is the most common malignant bone tumour that primarily affects children and adolescents. With approximately 400 diagnosed cases/year in Australia, OS has the lowest survival rate of all solid cancers and is the leading cause of cancer-related death in Queensland adolescents. Unfortunately, 3 in 4 patients will not survive longer than five years following diagnosis with metastatic OS. Clinical “one size fits all” treatment strategies results in highly variable and unacceptably poor patient responses. Shockingly, both the OS …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Biomedical Technologies

Engineering bioartificial extracellular tumour microenvironments for Osteosarcoma personalised precision oncology

Osteosarcoma (OS) is the most common malignant bone tumour affecting children and adolescents. Importantly, clinical outcomes have not improved for decades, and bone tumours remain to be a leading cause of cancer-related death in adolescents.By identifying ideal treatment approaches for each individual patient, precision oncology has the potential to significantly improve these outcomes. Yet, its widespread application is hindered by a lack of biomaterials that support the reproducible and robust generation of patient-derived osteosarcoma organoids in vitro.Therefore, this project will …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Biomedical Technologies

Why do epithelial cells have antigen processing machinery?

Epithelial Cells (ECs) constitute the border between the host immune system and an environment teeming with inhaled antigens. Work from us and others has highlighted that ECs have the ability to express the antigen processing and presentation machinery, Major Histocompatibility Complex class II (MHC II) that is important in initiating immune responses. MHC II expression and function on mucosal epithelial cells, is not well understood.Whilst MHC II is expressed by ECs, and is altered with inflammation, there is a paucity …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Australian Ganoderma species for the production of bioactive metabolites and new functional materials synthesis

Fungi are essential components of all ecosystems in roles including symbiotic partners, decomposers and nutrient cyclers and as a source of food for vertebrates and invertebrates. While vital to soil health and organic matter turnover, fungi have great potential in sustainable design and medicine.Ganoderma strains in particular produce bioactive compounds and display growth characteristics that favour their use in medical and applied biotechnology. Some species produce triterpenoids, such as ganoderic acids, and have been used in traditional Asian medicine for …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Hydroponic mushroom production

Lions mane strains are capable of producing very small fruiting bodies (mushrooms) in static liquid culture. In this project we will try establish parameters and conditions that favour mushroom synthesis on a liquid surface. If we can understand how and why this species produces mushrooms on a liquid surface – we may be able to target genes that could improve yields and tendency to grow hydroponically.'Hericium erinaceum (Bull.: Fr.) Pers. is an edible fungus of great significance in medicine. It …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Multi-objective optimisation models for forecasting and decision-making in supply chains and energy systems

This PhD project will focus on developing and evaluating multi-objective optimisation models that simultaneously optimise forecasting accuracy and operational decisions in complex systems.

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

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

Bayesian focused learning

Forecasting renewable energy production is crucial for ensuring stable and sustainable energy grids. Traditional approaches often involve a two-stage process: first, energy production forecasts are generated, then decisions, such as how much energy to produce from various sources (wind, solar, fossil fuels), are made based on those forecasts. This disjointed process, where forecast accuracy and decision-making optimization are treated separately, can lead to sub-optimal outcomes due to conflicting objective functions.The goal of this project is to bridge these stages by …

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

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