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 15 matching student topics

Displaying 13–15 of 15 results

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

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

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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