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 18 matching student topics
Displaying 13–18 of 18 results
Forecasting disease spread risk based on human movement patterns
This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
TRAP: Translation into practice of tools for risk assessment for healing and prevention of venous leg ulcers
Approximately 30% of venous leg ulcers (VLUs) fail to respond to evidence-based treatments and remain unhealed; while after healing, 60–70% of ulcers recur. Currently most clinicians use only their experience to identify patients with VLUs at high risk of failure to heal or recurrence after healing.To address this problem objectively, this project team has developed and validated two risk assessment tools to identify patients at high risk of failure to heal or ulcer recurrence. A prospective, multi-site study has demonstrated …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Nursing
Identifying individuals at high risk of Alzheimer’s disease
Dementia is the greatest cause of disability in Australians over the age of 65 years. In the absence of a significant medical breakthrough, more than $6.4 million Australians will be diagnosed with dementia in the next 40 years. The most common form of dementia is Alzheimer’s disease (AD), accounting for 60-80% of cases. The pathogenic process of AD begins decades prior to the clinical onset, so it is likely that treatments need to begin early in the disease process to …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
The interplay between environmental and genetic risk factors in the etiology of mental health disorders
Mental health disorders (e.g., depression, anxiety, substance use) are the leading cause of global disease burden in the young adult population. Twin and family studies show that both genetic and environmental factors play a large role in the aetiology of these disorders. The Translational Neurogenomics group aims to identify genetic risk factors for a range of mental health and substance use disorders, and investigate the interplay between genetic and environmental risk factors.UK Biobank is a major national and international health …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems
The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Centre for Future Mobility/CARRSQ
Culture and corruption risks in local government: the role of technology in detecting fraud
A recent investigation by the Crime and Misconduct Commission found serious fraud and corruption across a number of Queensland city councils. This included inappropriate relationships between the Council and the private sector, in particular property developers and improper use of power and influence for personal benefit by elected councilors.This project investigates how council employees and councillors avoid detection under existing accounting controls, and how they can be strengthened. We will focus on the latest technologies for detecting financial misconduct and …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
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