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 502 matching student topics
Displaying 97–108 of 502 results
Understanding the immunological mechanisms that regulate increased susceptibility to respiratory syncytial viral infection after stem cell transplantation
Allogeneic stem cell transplantation (alloSCT) is considered the gold standard procedure for the treatment of blood cancers. Globally, over 9000 patients per year undergo this high-risk, life-saving therapy. However, major complications limit the therapeutic potential of this treatment which include graft-versus-host disease (GVHD) and infections due to the severe immunosuppression in these patients. Respiratory syncytial viral (RSV) infection is frequent in these patients, is often fatal and clearly a significant clinical problem. Thus, there is a pressing need for new …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Language and Literacy
Potential projects under the topic of Language and Literacy include:Enhancing critical reading beyond the classroom with migrant and refugee-background youthCritical digital literacy and communication - how digital platforms have affected and will continue to affect literacy and communication practices in educationThe affect and affordances of algorithms on online literacy practicesHow can Aboriginal and Torres Strait Islander teacher aides or support workers assist teachers with Indigenous Language learning in the classroom?
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Teacher Education and Leadership
Assessing the quality of cluster analysis
Machine learning cluster methods are common classification methods, but methods for assessing performance are limited as are methods for explaining how they work. Exploring methods for both assessing and explaining performance are the subject of this research with application to real-world contexts with the Australian Bureau of Statistics.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Explainability of outlier detection methods
Outliers are anomalous observations in a data set that are "outside the norm" of what would be expected. Identifying outliers is an important part of exploratory data analysis and data analysis in general. It is often a challenging problem and calls for advanced methods and approaches, including machine learning-based tools. As methods become more and more complex, their explainability becomes more difficult and more important. This research project will look at all aspects of explainability and explore new approaches and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Identifying novel pheno-endotypes in children with chronic cough
Chronic wet cough is among the commonest symptoms of chronic lung disease. In Australia, the most common cause of childhood chronic wet cough is protracted bacterial bronchitis (PBB), a clinical entity we first described. It has now been shown to be a precursor to bronchiectasis, which causes substantial morbidity and mortality, especially from acute respiratory exacerbations. Lung inflammation in children with persistent chronic wet cough is an important driver of ongoing and progressive tissue damage, leading to bronchiectasis, highlighting the …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Healthcare Transformation
Australian Centre for Health Services Innovation
Making predictions using simulation-based stochastic mathematical models
Stochastic simulation-based models are very attractive to study population-biology, disease transmission, development and disease. These models naturally incorporate randomness in a way that is consistent with experimental measurements that describe natural phenomena.Standard statistical techniques are not directly compatible with data produced by simulation-based stochastic models since the model likelihood function is unavailable. Progress can be made, however, by introducing an auxiliary likelihood function can be formulated, and this auxiliary likelihood function can be used for identifiability analysis, parameter estimation and …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Mathematical tools for stochastic and continuum transport models
Mathematical models of particle transport are fundamental to many applied disciplines including physics, biology, ecology and medicine. Particle transport is typically modelled using either a stochastic model, where probability rules govern the motion of individual particles, or a continuum model, where partial differential equations govern the concentration of particles in space and time. This project aims to use analytical and numerical techniques from applied and computational mathematics to address one or both of the following questions:what is the average time …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Facilitating Towards Sustainable Electric Vehicles Trading System
The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Real-time Business Process Integration in the Industrial Internet of Things (IIoT) for Industry 4.0
The vision of Industry 4.0 is to support business capabilities at the edge. The Industrial Internet of Things (IIoT) enables this vision by integrating IoT with Enterprise Systems (ESs). In an IIoT process, sensor applications at the edge require seamless integration with the software services of ESs. This, in turn, facilitates the real-time correlation of sensor events with BPs. However, existing IIoT architectures lack the necessary architectural capabilities to reflect the true essence of Industry 4.0.This research aims to develop …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Understanding user behaviours of kinetic energy harvesting
Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
Risk management and financial systems integrity. Enhancing outcomes for indigenous not-for-profit organisations
This topic examines the NFP sector, in particular, indigenous organisations and the risk associated with incidents of fraud. As funding to these organisations is limited, a fraudulent event can have dire consequences on employees as well as impact future funding opportunities. Scant attention has been paid to the NFP sector in relation to fraud risk management. The study will help to address this.If you are interested in researching this topic as part of a Master of Philosophy (Accountancy), and you …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
How to reduce consumer reactance?
Have you experienced a negative feeling when a media platform constantly pushing advertisements to your screen or when a salesman chasing you around to introduce a product? That negative feeling will typically lead to reactance and push you away from these persuasive messages. This research is embedded in the theories of persuasion knowledge and psychological reactance. We will also look into consumer personalities and cognitions. We aim at exploring and testing solutions to reduce consumer reactance.Skills and experience:Research background in …
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.