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 58 matching student topics

Displaying 13–24 of 58 results

Exploring the effects of interactions with intelligent agents in immersive systems

This research project aims to investigate the effects of interactions with intelligent agents on player experiences in various contexts, including videogames, learning-teaching, and complex data analysis. The intelligent agents will be developed using ChatGPT as a backend, and the studies will be conducted in both single-player and multiplayer settings, utilizing virtual and augmented reality technologies.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Using catastrophe theory to prepare for global warming in Antarctica

According to dynamical systems theory, crises occur because couplings within a system (geophysical, ecological and social) create instabilities. Nonlinear feedbacks means that relatively small changes in circumstances can cause a rapid change to the system state. For example, a small increase in tourism visitors could lead to the invasion of a new species. Or, a gradual change in the average global temperature could lead to the collapse of Antarctic ice-shelves.In the coming decade, the Antarctic and sub-Antarctic are likely to …

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

Centre for the Environment

Enabling effective novice-expert interactions: co-designing immersive systems for complex remote data analysis

This student research topic focuses on exploring and developing immersive systems that facilitate interactions between novice and expert users in the context of complex remote data analysis. The goal is to design and prototype innovative solutions that enhance the collaboration, learning, and training aspects of data analysis tasks.The research will involve investigating various immersive technologies and their potential application in bridging the gap between novice and expert users, enabling effective knowledge transfer and skill acquisition.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Asymmetric information in social dilemmas

Information about the state of the environment can be critical for promoting environmentally friendly and socially beneficial behaviors when people are facing social dilemma choices. However, it is not clear if individuals will be willing to spread this information for the benefit of everyone else. This project aims to understand how socially beneficial actions propagate when information is asymmetric.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Investigating DNA repair mechanisms in aging adult stem cells

When we age the DNA repair systems of our cells become down regulated. This results in reduced DNA repair capacity, enhanced rates of mutation load and may lead to the development of chronic aging-associated diseases including osteoporosis, Alzheimer's and cancer(1). So it is no surprise that genome instability and stem cell exhaustion, which also strongly correlates with the accumulation of DNA damage, are considered hallmarks of aging(2).However, we still lack a clear understanding on how the decrease in DNA repair …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

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

Evidence-driven policy innovation for urban heat islands

Extreme heatwaves and other extreme weather events are contributing to the fragility of cities and urban infrastructure, which requires urgent attention. Urban heat islands are an exemplar for metropolitan fragile areas, which exacerbate the impact of climate change and global warming on natural hazards, such as wildfires, storms, floods, and droughts, which pose a critical threat to Australian and international communities (Degirmenci et al., 2021). Decision support systems (DSS) can help city planners and policymakers to optimise their decision-making by …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Management
Research centre(s)
Centre for Future Enterprise

Australian experiences of algorithmic culture on TikTok

Join a world-leading research team examining how recommender systems are shaping personalised and shared experiences of algorithmic culture in Australia. The project is focused on TikTok and engages with both professional TikTok creators and users using innovative computational and traditional research approaches.The empirical work is structured into three streams:In the Platform Stream we observe the type of content TikTok recommends on the least-personalised version of the platform, to create a close-to-generic baseline of the Australian experience of algorithmic culture on …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Understanding human behaviour during automated driving

We are seeking a highly motivated and talented Vision Science and Human Factors PhD Researcher to join an interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and industry partner Seeing Machines—world leader in human-machine interaction and an industry leader in artificial intelligence (AI), that enable machines to see, understand and assist the people who are using them.A PhD scholarship is available for this project.Learn more about the scholarshipOur program offers:World-class research environment: immerse yourself in a …

Study level
PhD
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)

Centre for Vision and Eye Research

Understanding user behaviour in virtual power plant (VPP) communities

Virtual power plants (VPP) provide a viable solution to integrate intermittent renewable energy sources into the grid, where a transition from centralized to decentralized energy distribution can provide economic and ecological benefits and facilitate citizen empowerment and a sense of community. However, consumers are reluctant to adopt distributed energy systems such as rooftop solar panels and household and community battery storage, which provide electricity generation and storage technologies that are located close to the point of use, as opposed to …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Systematic evaluation towards the analysis of open-source supply chain on ML4SE tasks

Applying machine learning algorithms to source code related SE task is rapidly developing and attracts the attention from both researchers and industry engineers. While there are many program languages available, applying such techniques, i.e., the representation learning models, for different languages may achieve different performance. Particularly, they all have their own strict syntax, which determines the abstract syntax tree. Thus, a lot of different open-source supply chain are available, for example the parsing tools are used to build AST from …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Ecosystem responses to climate change and human impacts on sub-Antarctic islands: a context for conservation

Sub-Antarctic islands have unique ecosystems and landscapes under increasingly pressure from climate change. In many cases this is compounded by the introduction of invasive species since their discovery by humans in the 1800s.Understanding ecosystem and environmental responses to climate change and separating them from human-induced causes of change is essential for their future protection. To do this requires quantifying long-term, natural rates and variability of change, establishing the ‘baseline’ status of ecosystems and the environment prior to human arrival, and …

Study level
PhD
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

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