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 508 matching student topics

Displaying 313–324 of 508 results

New antimicrobial compounds with biofouling properties

Bacteria can readily adhere to the surface of synthetic materials and form a biofilm which is much more difficult to combat than circulating bacteria due to their extreme resistance to antibiotics. Thus, biofilms are of particular concern in the healthcare system, where they increase infection rates by contaminating medical devices, delay chronic wound healing and contribute to tooth decay. In systems used to transport water and oil, biofilms are associated with pipe blockages and corrosion which can result decreased efficiencies …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Polymer theranostics for nanomedicine

The personalised treatment of disease though nanomedicine will allow for more effective and safer treatments for patients. Polymer theranostics provide for the simultaneous detection of disease, treatment, and monitoring of therapeutic response. Our research group synthesises new polymeric materials and investigates how they can be used in applications such as:potent antivirals to fight future pandemicsthe effect of radiation on materials for improved radiotherapy for cancerresponsive imaging agents that can report on metabolic processes of diseasecharacterizing the interaction of polymeric materials …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Improved data analytics for lithium ion batteries

Join the team to be part of an exciting QUT-lead project into materials for Lithium-ion batteries. The project is part of the Federally supported Future Battery Industries - Cooperative Research Centre, which hosts projects all-over the country that are aiming to boost the industry, create clean energy jobs, and enable a sustainable future.In this role you gain access to QUT's one-of-a-kind in Australia, Advanced Battery Facility. At the facility we build lithium batteries in a range of shapes and sizes. …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science
Centre for Clean Energy Technologies and Practices

Understanding and designing for digital self-care

The aim of this project is to better understand self-care practices with digital technologies amongst young adults and to explore opportunities for digital technology design.Self-care is a process of purposeful engagement in practices that promote holistic health and well-being of the self. Holistic health implies overall health and this encompasses more than just physical health but also includes mental, emotional and even spiritual health of a person. For some people, cooking can be a form of self-care to eat healthily …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Southern ocean aerosols: Sources, sinks and impact on cloud formation and climate

Robust prediction of human-induced global warming and future climate requires more accurate climate models. Currently, aerosol-clouds interactions represent the largest source of uncertainty in our global climate models. To reduce this uncertainty, we need a better understanding of aerosol sources, chemical and physical properties, and processes impacting their growth to sizes where they can act as Cloud Condensation Nuclei (CCN) and interact with incoming solar radiation.The Southern Ocean is a region of the world where climate and weather models, including …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences
Research centre(s)

Centre for the Environment

Develop microfluidic technologies for cardiovascular and cerebrovascular diseases

The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms. Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.To address this pressing need, we're developing simple-to-use, high-throughput and highly-informative microfluidic biochips to understand the sequences of molecular events underlying biomechanical thrombosis (mechanobiology). …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Development of a Microfluidic Gut-Brain Axis Chip

The gut microbiome refers to the collection of micro-organisms that are living symbiotically in the human or animal gastrointestinal tract (defined as the “microbiota”), their genetic material as well as the surrounding environmental habitat. It is now appreciated that the microbiome plays an important role in human health and diseases. Many neurodegenerative diseases, such as Parkinson's Disease have been linked to dysregulation of the gut microbiota. However, it is difficult to study gut-brain axis using animal models due to inter-species …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Microbiome Research

Big Data ideas for GLMs

The goal of this project is to develop new Bayesian methods for large-scale data analysis using subsampling techniques. The focus of the project will be on generalised linear models (GLMs), which are commonly used models in statistics and machine learning.One of the main challenges in using Bayesian statistics with big data is the high computational cost associated with processing big datasets. The proposed project aims to address this challenge by developing new subsampling techniques for Piecewise Deterministic Markov Process (PDMP) …

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

Continuous time samplers (MCMC at the limit!)

The goal of this project is to develop new continuous time Monte Carlo methods for efficient sampling from high-dimensional distributions. Continuous-time Monte Carlo methods are a class of algorithms that use continuous-time dynamics to generate samples from target distributions, rather than the discrete-time dynamics used in traditional Markov chain Monte Carlo (MCMC) methods. These methods have been shown to have faster mixing and better exploration of the state space, making them particularly appealing samplers for challenging distributions.The main objectives of …

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

Unlocking the Potential of Simplex-Truncated Distributions

This PhD project aims to develop new methods for generating random samples from a specific type of probability distributions called simplex-truncated distributions. These distributions are commonly used in various fields such as statistics, machine learning, and biology.The project will involve the development of new techniques to generate random samples from simplex-truncated distributions. These techniques are based on a method called continuous-time Monte Carlo which is a cutting edge method in statistics that can generate random samples from complex distributions.The main …

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

Low-cost portable Magnetic Resonance Imaging for clinical applications

The aim of this project is to develop accurate low-cost medical imaging methodology for pseudo-3D mapping of Mammographic Density (MD) within the breast. MD is the degree of radio-opacity (“whiteness”) in an X-ray mammogram. It has implications for breast cancer risk, ease of detection of breast cancer, and monitoring of the efficacy of hormonal breast cancer prevention or anti-cancer treatments.Healthcare ChallengeThere is a growing need for affordable and accurate quantitative assessment of MD without ionising radiation. Magnetic resonance imaging (MRI) …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics

Preventing arterial catheter-related harm in intensive care

Each year more than 200,000 patients (adults and children) are admitted to intensive care units (ICU) in Australia and New Zealand for treatment of serious and life-threatening injury or illness, or recovery from major surgery. The vast majority (~90%) of ICU patients will require an arterial catheter during their admission to optimise vital treatment and monitoring. Arterial catheters are small hollow plastic tubes inserted into peripheral arteries to facilitate continuous haemodynamic monitoring (e.g. blood-pressure) and frequent blood sampling. Hence, effective …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Nursing
Research centre(s)
Centre for Healthcare Transformation

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