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 643 matching student topics
Displaying 589–600 of 643 results
Using mathematics to understand multiple sclerosis: what causes the immune system to attack the brain?
Every day, we use our bodies to move, think, talk and eat, but for people with multiple sclerosis (MS) these tasks can be virtually impossible. MS is a chronic disease which develops because the immune system has started to attack the nerve cells in the brain. This causes the degradation of parts of the brain and irreversible impairment in physical and mental activity. Unfortunately, this disease has no cure, and while considerable therapeutic advances against this disease have been achieved, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Topics in computational Bayesian statistics
Bayesian statistics provide a framework for a statistical inference for quantifying the uncertainty of unknowns based on information pre and post data collection.This information is captured in the posterior distribution, which is a probability distribution over the space of unknowns given the observed data.The ability to make inferences based on the posterior essentially amounts to efficiently simulating from the posterior distribution, which can generally not be done perfectly in practice.This task of sampling may be challenging for various reasons:The posterior …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Cryptoarchitecture: architecture NFTs (non-fungible tokens)
This project will explore the application of Non fungible tokens NFTs to the architectural discipline specifically. It will do so with both intellectual and entrepreneurial goals.In light of today's highly liquid global financial markets, and the rise of intangible capital as the dominant form of corporate wealth (think Facebook, Google, Bitcoin), the property sector often seems like an anachronism. Land and buildings have historically been identified as the most fixed and tangible forms of capital. They have thus been difficult …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Predicting player performance from one format to another in cricket
Identifying talent as early as possible in elite sport is critical. An important component of this is learning about what metrics of performance in lower grades to focus on to help predict performance in the top grade. This project will explore for this research problem for cricket.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
The role of complex singularities in geometric flows
A popular topic in differential geometry involves studying the singularity structure of geometric flows. The most well-known example is mean curvature flow. In this example, surfaces evolve according to a flow rule that relates the speed of the surface to its curvature. Certain surfaces will evolve until singularities occur in finite time, and these singularities can be studied using similarity solutions and asymptotic analysis.In this project, a different perspective is applied to these problems, namely the use of complex variable …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Metal-free batteries
Chemical batteries are listed in the top 5 key energy technologies; ahead of others such as natural gas, wind turbines, hydrogen and electric motors. Our group is currently investigating the use of free radical containing polymers as avenues to produce environmentally friendly, lightweight and durable materials for the fabrication of printed carbon batteries or as a electrolytes in flow batteries.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Laser light sensors that see through containers
Raman scattering has been used as a powerful 'fingerprinting' technique for more than 80 years, and is widely used by security and law enforcement for detecting hazardous threats. To better safeguard the community, QUT has developed a unique eye -safe laser Raman sensing system for detecting threats, that works at distance from a target (> 10 m) and operates in real time. Increasingly however, threats are being concealed in order to avoid detection. This project will investigate what range of …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Separating nonlinear optical effects in optical limiters
Optical limiting uses a medium’s nonlinear response to allow light at low intensities to be transmitted, but restricts transmission at high intensities so as to safeguard sensitive detectors including the eye. A popular nonlinear process used in optical limiters is two photon absorption where two high intensity light photons are simultaneously absorbed thereby reducing the light transmission through the medium. Unfortunately, in gold nanoparticle optical limiters a second nonlinear process can arise – saturated absorption which leads to an increase …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Optical coherence tomography imaging of arterial tissue
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.While intravascular methods have been developed to visualize various features of vulnerable plaques, there is no single technique that can accurately predict plaque rupture in …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Develop point-of-care microfluidic technologies for cardiovascular and cerebrovascular diseases
Excessive clotting (thrombosis) leads to the cardiovascular diseases such as heart attack and stroke, killing one Australian every 12 minutes. It has long been recognized that platelets play a central role in thrombosis and are unique in their ability to form stable adhesive interactions under conditions of rapid blood flow.We've recently discovered a new ‘biomechanical’ prothrombotic mechanism that highlights the remarkable platelet sensitivity to the shear stress gradients of blood flow disturbance. Importantly, we've found that current anti-thrombotic drugs, such …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Image-based assessment of atherosclerotic plaque vulnerability: Towards a computational tool for early detection and prediction
Plaque characteristics and local haemodynamic/mechanical forces keep changing during plaque progression and rupture.Quantifying these changes and discovering the progression-stress correlation can improve our understanding of plaque progression/rupture. This will lead to a quantitative assessment tool for early detection of vulnerable plaques and prediction of possible ruptures.Our research project aims to combine medical imaging, computational modelling, phantom experiments and pathological analysis to investigate plaque progression and vulnerability to rupture in both animal models and patients with carotid stenosis.We will identify and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Image-based computational model to predict intracranial aneurysm rupture
Intracranial aneurysms are bulging, weak areas of an artery that supply blood to the brain which are relatively common. While most aneurysms do not show symptoms, 1% spontaneously rupture which can be fatal or it can leave the survivor with permanent disabilities. This catastrophic outcome has motivated surgeons to operate on approximately 30% of aneurysms despite their rate of complications arising and cost of operation.The impact of aneurysm morphology on blood flow shear stress and rupture could educate surgical decision-making …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
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