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 73–84 of 479 results

Parameter identifiability for stochastic processes in biological systems

Stochastic models are used in biology to account for inherent randomness in many cellular processes, for example gene regulatory networks. Noise is often thought to obscure information, however, there is an increasing understanding that some randomness contains vitally important information about underlying biological processes.When applying these models to interpret and learn from data, unknown parameters in the model need to be estimated. However, not all data will contribute to a given estimation task regardless of the data quantity and quality. …

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

Small business resilience in times of economic uncertainty: Examining retailers and regional businesses

Regional Australia is undergoing significant structural, economic, social, and environmental change which is impacting the viability of small businesses (Regional Australia Institute, 2018). Regional small retail businesses, estimated to contribute $21.9bn to local economies (Australian Small Business and Family Enterprise Ombudsman, 2019) are particularly susceptible to economic shocks, have lower survival rates, more volatile revenues and are generally less resilient than larger business (Barraket, Eversole, Luke & Barth, 2019).Disruptive external events such as the acceleration of e-retailing, COVID-19 travel restrictions, …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations
Research centre(s)

Australian Centre for Entrepreneurship Research

Searching for Life on Mars on Earth

NASA's newest Mars rover, Perseverance, has just arrived on the red planet. Tasked with searching for ancient life in the geological record of a ~4 billion-year-old crater lake, the mission science team must use our only available analogue - the Earth - as their guide to exploration.

Study level
PhD
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Probing the origins of life on Earth

The history of life on Earth is written in the fossil record. In this project, you will investigate stable isotope evidence for extremely early evolving organisms. Through careful petrography and with the use of isotope ratio mass-spectrometers, you will help unravel the history of microbial metabolisms that powered the ecosystems recorded by 3 billion-year-old microbial fossils.

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Electrothermal film heaters

Flexible electrothermal heaters have attracted a growing interest because of their broad applications in wearable electronics, including warming garments, and as flexural warmers for medical devices and vehicles. Traditional electrothermal materials such as ferro chromium (FeCr)-based alloys have disadvantages such as heavy weight, rigidity and low heating efficiency. Indium tin oxide (ITO) is widely used in commercial products due to its high transparency and high electrical conductivity. However, the finite reserve of indium has resulted in an increasing price of …

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

Optimal ecosystem management in rapidly changing systems

Delays in acting in collapsing ecosystems can be catastrophic. With every passing year, the chances that the ecosystem has progressed past some point of no return increases. Yet the research and development needed to develop a new technology can take a long time. Balance between these two dynamic processes is needed to determine the optimal length and effort for developing new technologies. This project will develop a method for finding the optimal schedule for developing technological readiness, social acceptability, a …

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

Engineering response to climate emergency with zero carbon footprint for building construction by 2030 using circular economy principles

We as engineers can make a contribution to address the current climate emergency.The Australian Sustainable Built Environment Council report (2016) found that if Australia's built environment sector reaches zero carbon emissions for the operation of residential and commercial buildings by 2050, it could contribute 28% to the country's 2030 emissions reduction target and save up to AU$20 billion.In this project we will consider the application of the circular economy, which is based on the principles of designing out waste and …

Study level
PhD, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science
Centre for a Waste-Free World

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

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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