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 631 matching student topics
Displaying 37–48 of 631 results
Automated computational analysis and mathematical modelling of in vivo scaffold degradation kinetics using longitudinal micro-CT
Biodegradable scaffolds are increasingly used to treat critical-sized bone defects, yet their in vivo degradation kinetics remain poorly understood. Existing analyses rely on limited morphometric measurements and lack automated computational tools. This project will use a unique longitudinal micro-CT dataset to characterize scaffold degradation over time, providing quantitative insights to support the design of next-generation biodegradable orthopedic implants.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Occupant-in-the-loop: VR as pre-occupancy evaluation tools for climate adaptive design practices
Ongoing global warming, compounded by local overheating in cities and buildings, poses growing risks to occupant health, comfort, and well-being. Conventional design approaches rely heavily on predictive simulation, where occupant preferences and adaptive responses are typically simplified through assumptions based on average populations. This overlooks substantial individual differences in perception and behaviour, contributing to persistent gaps between predicted and actual building performance beyond simply energy performance. Although virtual reality (VR) is increasingly recognised as a promising tool for pre-occupancy evaluation …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Testing AI-generated judicial personas
This project explores the growing use of artificial intelligence in the legal profession to create “personas” of judges. These systems are trained on past decisions, legal reasoning, and perceived judicial attitudes to simulate how a judge might respond to a case. Lawyers can then use these simulated responses to test arguments and refine litigation strategy.The project examines how these tools work in practice, what assumptions they rely on, and how accurate or useful they truly are. It also considers broader …
- Study level
- Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
VRES: The High Court and the legal treatment of blockchain in the Block Earner case
This project examines the High Court of Australia’s decision in ASIC v Web3 Ventures Pty Ltd (Block Earner)—one of the first times the High Court has directly engaged with blockchain-based financial products. In June 2026, the Court unanimously held that Block Earner’s fixed-yield crypto product was a financial product requiring a licence, confirming that existing financial services laws apply to digital assets.This decision raises important questions about how the law understands blockchain technology. The Court emphasised that financial regulation is …
- Study level
- Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
VRES: Blockchain as an archive fairy tale.
This project explores how blockchain is understood as a new kind of archive. Blockchain is often described as a system that creates trust through secure, unchangeable records. However, this claim is shaped by broader stories and expectations about technology. These stories form what we call the cultural imaginary—a mix of hope and fear that influences how people understand and regulate new technologies.On one hand, blockchain promises transparency and certainty. On the other, it raises concerns about misuse, control, and misinformation. …
- Study level
- Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
Physics-informed diffeomorphic image registration
Medical image registration is the process of finding a spatial transformation that aligns a medical scan or image (X-ray, CT, MR, US, PET etc.) to another scan or image for comparison. Example use of image registration includes mapping one patient's brain MRI onto another's, or tracking organ motion across breathing cycles in lung CT. Accurate registration is a primary requirement of a wide range of clinical workflows, including disease progression monitoring, treatment planning, and atlas-based segmentation.Diffeomorphic registration methods constrain the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Detecting metabolic regime switching using dilution-resolved growth data: mathematical modelling, statistical inference and uncertainty quantification
Microbial populations rarely grow according to a single fixed physiological program. As nutrients are consumed, waste products accumulate and environmental stress changes, cells can transition between distinct metabolic regimes associated with growth, maintenance, fermentation, respiration and survival. These transitions are biologically important and industrially relevant, but they are often difficult to detect directly from standard growth curve summaries such as maximum growth rate, lag time, carrying capacity or area under the curve.This project will develop new mathematical and statistical methods …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Where should we put our sensors? Designing smarter water quality monitoring networks
Water utilities and environmental agencies face a deceptively simple question: where should we put our sensors? In a piped stormwater network, the question matters because finding an illicit discharge quickly depends on having the right sensors at the right places. In an open creek or river, the question matters because spatial coverage, transport dynamics, and cost trade-offs all influence whether monitoring will actually answer the question being asked.Decisions about sensor placement are still often made on the basis of accessibility, …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Designing Inclusive Sports Technology for Broader Participation in Physical and Digital Sporting Environments
Sport and active participation play a critical role in physical health, social inclusion, wellbeing, and community connection. However, many people continue to face significant barriers to participation, including people with disabilities, and individuals experiencing mobility, sensory, cognitive, social, or economic constraint. Emerging sports technologies present new opportunities to broaden access and participation, yet many products, services, and systems remain designed for narrow user groups and performance contexts.This PhD project will investigate how sports technologies can be designed to support more …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
α-Synuclein–specific T-cell responses as early adaptive immune markers of Parkinson's disease
Parkinson’s disease develops over many years before motor symptoms become clinically apparent, limiting opportunities for early intervention. Increasing evidence suggests that adaptive immune responses, particularly T cells that recognise α-synuclein, may emerge during at-risk and early stages of disease.This project will investigate whether α-synuclein–specific T cells are expanded in at-risk individuals and early Parkinson's disease patients, with the goal of identifying early immune changes that may precede clinical disease onset.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Supporting boundary management in young people's AI companion interactions
We invite applications for Honours research within an interdisciplinary research team examining how young people engage with AI companion chatbots (e.g., Character.AI, Replika) and how they manage risks and boundaries in these interactions.AI companions have grown in popularity since the COVID-19 pandemic and are increasingly used by young people seeking connection. This trend raises important concerns, including exposure to harassment, misinformation, and self-harm, as well as the potential impact on human relationships when reliance on AI companions becomes significant.This project …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Transforming wastewater treatment with anaerobic granular sludge technology
Are you interested in solving real-world environmental challenges? Wastewater treatment is essential for protecting the environment, and anaerobic granular sludge technology is at the forefront of creating sustainable solutions. Think of it as using natural microorganisms to clean water in an energy-efficient way, while also recovering valuable resources like nutrients and energy.In this project, you’ll dive into how anaerobic granular sludge works - tiny but powerful clusters of microbes that improve wastewater treatment by breaking down pollutants. This cutting-edge technology …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
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