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 44 matching student topics
Displaying 13–24 of 44 results
Co-designing ambient assistive technologies
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we engage people of all abilities in co-designing ambient assistive technologies?Participation in design is often defined on a spectrum where stakeholders can be categorised as simple informants (surveyed at the start of a project), evaluators (involved in trial iterations of a design), …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Advancing humanoid robots: exploring materials and design for enhanced aesthetics and emotional connection
Humanoid robots are increasingly being developed for a variety of applications including healthcare, customer service, and industrial automation. However, their effectiveness depends not only on their artificial intelligence, technical capabilities, functionality and efficiency but also on the design and application of exterior materials for enhanced interaction with humans. This research aims to investigate how the application of colour, materials, and form (CMF) and other concepts of wearable fashion and innovative design can improve the aesthetics, perception, emotional connection and overall …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
Strain-level characterisation and visualisation of microbial communities associated with inflammatory bowel disease
Inflammatory bowel disease (IBD) is a chronic, relapsing inflammatory disorder driven by complex interactions between environmental, microbial and immune-mediated factors. An unfavourable shift in gut microbiome composition, known as dysbiosis, is now considered a key feature of IBD, however it is unclear how specific microorganisms and their interactions with host cells contribute to disease onset and progression. Previous IBD studies have been largely limited to older sequencing methods with low resolution. Furthermore, these studies have predominantly focused on bacterial populations, …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Defining human immune responses to a healthy gut microbiome
Many human diseases are thought to involve interactions between the gut microbiome and the immune system which shape the nature and function of immunity. These interactions between host and environment are thought to be critical regulators of health and disease.In autoimmune diseases many studies have associated presence or absence of particular microbial species with diseases and some studies have shown influence of disease-related genetics on the composition of the gut microbiome. However, no studies to date have formally addressed the …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Human data interaction with big data visual analytics
Our research is seeking to answer the question: 'How can we support human interaction with big data?'We want to integrate the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers. These elements have the capacity to form a powerful knowledge discovery environment. This research will use datasets from the Queensland Government and the QUT Ecoacoustic research group over multiple years. Other big datasets, such as Amazon’s product review dataset, could also be …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Ecological interactions in Antarctic ecosystems
Antarctic and sub-Antarctic terrestrial ecosystems are dominated by mosses, lichens, invertebrates and some vascular plants. Marine vertebrates (penguins, seals, seabirds) also play an important role in driving terrestrial processes. All these species are influenced by many environmental and biotic factors, including interactions between species. Determining the impacts of climatic and environmental change on Antarctic and sub-Antarctic biodiversity requires greater understanding of these interactions.Ecological data on species interactions and the drivers of these interactions are an essential part of Antarctic and …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Data Science
Centre for the Environment
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
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
Co-designing community support systems for autonomous vehicles in rural and remote Australia
Automated Vehicles (AVs) hold promise for addressing transport challenges in regional and remote Australia, including workforce shortages, road safety, and supply chain disruptions. However, community acceptance and social licence remain critical hurdles to widespread deployment. Past experiences with new technologies in rural settings have shown that top-down approaches often fail to account for local values, concerns, and lived realities. This project recognises that the successful integration of AVs into public life requires trust, transparency, and tangible community benefit. Working within …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- Centre for Future Mobility/CARRSQ
Design Lab
Artificial Intelligence for collaborative and intelligent user interfaces
This project seeks to leverage recent advances in machine vision and natural language processing algorithms to support the design and development of knowledge-driven applications that support communication and collaborations with their users.One particular area where this will be investigated is in workplaces for supported employment, that is employment opportunities for people with intellectual disability. One of the questions to address is how machines could respond to what a user shows them in order to assist with decision making in a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Impact assessment of mega events including Olympics
Mega events such as the Olympics or the Expo promise significant social and economic impacts. However, research in this field is limited in terms of methodologies, data as well as empirical case studies.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
International Trade Law in the Asia-Pacific
This project seeks to map new developments in trade and investment law in the Asia-Pacific
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
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