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 639 matching student topics
Displaying 37–48 of 639 results
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
Decision optimisation in energy supply chain
this project aims to develop integrated forecasting and decision optimisation models for renewable energies.
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Probabilistic forecasting of energy
This project aims to develop probabilistic forecasting models for renewable energies vi a Bayesian approach. The models will be developed for very short term and short-term (10 minutes to 24 hours ahead).
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Exploring the potential of M-assisted survey estimators
The Australian Bureau of Statistics (ABS) conducts surveys to collect information from individuals, households and businesses in order to produce statistics and data products to help inform decision-making. Unlike a census, in which an entire population of interest is enumerated (e.g., all individuals residing in Australia), a survey collects information from only a sample (subset) of a population of interest. Estimators are then used to estimate quantities related to the population of interest using information from the sample. Currently, the …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Climate change and trustees: powers, duties, responsibilities and liabilities
Trustees have a duty to act in the best interests of beneficiaries. In particular, it has been held that “(w)hen the purpose of the trust is to provide financial benefits for the beneficiaries, as is usually the case, the best interests of the beneficiaries are normally their best financial interests.” (Cowan v Scargill [1985] 1 Ch 270 at 286 per Megarry VC) This may require consideration of not only the economic well-being of the trust fund more generally, but also …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
Novel algorithms for microbiome data
Metagenomics data is complex, high-volume data and keeps evolving, requiring novel computational method development as the wetlab approaches changes and databases grow. Thus, novel computational methods are required to take advantage of them.There are several potential projects under this topic, including:using deep learning to improve metagenomics assemblydeveloping better tools to analyse the presence of resistance genes in metagenomics datadeveloping approaches for estimating the quality of genomes from novel generation sequencespredicting the function of small sequences using more than just sequence.Interested …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
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