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 29 matching student topics
Displaying 1–12 of 29 results
Reinventing the Academy: Innovation, Strategy, and Change in Universities
Universities are among the most enduring institutions in society, yet they now face an unprecedented combination of pressures — from financial constraints and geopolitical tensions to the rise of generative AI and growing expectations around societal impact. Despite their well-documented role in driving innovation for others, how universities innovate themselves as organisations remains surprisingly understudied. This creates a timely and important opportunity for scholarly inquiry into the drivers, barriers, and processes of innovation within higher education institutions.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Management
Investigating smart campus development trends in Australian universities
Smart campus is an emerging concept following the smart city research movement and is predominantly argued to be a miniature replica of the smart city providing an ideal prototype for university campus development. The smart campus concept has attracted much attention, predominantly due to the rise in artificial intelligence, internet-of-things, cloud computing and big data applications in advancing university campus operation efficiency. In recent years, Australian universities started to invest in smart campus technologies and development opportunities.ReferenceA brief background on …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Enhancing sonographer work-integrated learning: balancing quality training with workforce demands and student well-being
Sonographers, highly skilled healthcare professionals responsible for essential diagnostic ultrasound services, are currently facing a severe nationwide shortage. The Australasian Sonographers Association reported a deficit of at least 3,000 sonographers in 2019. Training new sonographers involves comprehensive work-integrated learning (WIL), which blends academic knowledge with structured real-world experiences to develop vital clinical skills. However, due to escalating workforce demands, concerns have arisen about potential exploitation of students within workplaces. This exploitation could involve assigning tasks exceeding their capabilities or subjecting …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
Uptake of electric vehicles: the case of Australia
The uptake of electric vehicles is on the rise. This study undertakes a literature review of papers published on electric vehicles with a view to identify factors that influence their uptake and data sources. This information will then be used to develop a model to identify factors that are influencing the uptake of electric vehicles in Australia on a state basis and propose strategies that can further increase their uptake in the country. Policy implications of this new development in …
- Study level
- Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
Joint PhD QUT/Münster: Digital innovation in battery energy storage systems
Queensland is a global leader in residential solar photovoltaic adoption, yet battery energy storage uptake is comparatively low, constraining the full potential of decentralised battery energy storage systems (BESS). Similarly, in Germany, battery storage adoption remains limited and regionally concentrated, despite strong national policy support and technological advances in battery manufacturing.This project investigates the behavioural and systemic barriers to BESS adoption and explores how digital solutions can influence energy decisions. It forms part of a broader international collaboration between QUT, …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Energy Transition Centre
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 capsular polysaccharide diversity is key to next generation therapies for multi-drug resistant Acinetobacter baumannii infections
Bacteriophage therapy is an attractive innovative treatment for infections caused by extensively drug resistant Acinetobacter baumannii, for which there are few effective antibiotic treatments remaining.Capsular polysaccharide (CPS) is a primary receptor for lytic bacteriophage, thus knowledge of the chemical structures of CPS produced by the species underpins the identification of suitable phage for therapeutic cocktails.As many phage depolymerases cleave a specific CPS linkage formed by either a glycosyltransferase or polymerase enzyme, characterisation of these proteins are essential.However, these remain largely …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Immunology and Infection Control
Tailoring 2D materials via interface engineering
2D materials are crystalline materials with only a single layer thickness. The best known 2D materials is graphene, but it also encompasses a large family of materials , such as transition metal dichalcogenides (TMDCs).2D materials are set for breakthroughs in fundamental research and transformative technologies. They have few surface dangling bonds and unique atomic-level uniformity which make them very appealing for developing optical, electronic and energy applications.These materials also bring a new degree of freedom to combine highly distinct materials, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Productive reproducible workflows for deep learning-enabled large-scale industry systems
Deep learning is a mainstream to increase the capability of industry systems, particularly for those with massive data input and output. It is seen that many tools are now claimed to be freely available and could facilitate such process of development and deployment significantly with scalability and quality.However, limited attention has been on developing reproducible and productive workflows to identify the tools and their values towards large-scale industry systems. In this project, we will explore how to design such a …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
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
Fine-grained software vulnerability detection using deep learning techniques
Software vulnerability is a major threat to the security of software systems. Thus, the successful prediction of security vulnerability is one of the most effective attack mitigation solutions. Existing approaches for software vulnerability detection (SVD) can be classified into static and dynamic methods. Powered by AI capabilities, especially with the advancement of machine learning techniques, current software has been produced with more sophisticated methodologies and components. This has made the automatic vulnerability proneness prediction even more challenging. Recent research efforts …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Advanced artificial intelligence based ultrasound imaging applications
Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
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