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 553 matching student topics
Displaying 85–96 of 553 results
Designing Inclusive Sports Technology for Broader Participation in Physical and Digital Sporting Environments
Sport and active participation play a critical role in physical health, social inclusion, wellbeing, and community connection. However, many people continue to face significant barriers to participation, including people with disabilities, and individuals experiencing mobility, sensory, cognitive, social, or economic constraint. Emerging sports technologies present new opportunities to broaden access and participation, yet many products, services, and systems remain designed for narrow user groups and performance contexts.This PhD project will investigate how sports technologies can be designed to support more …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
Designing perception: Investigating gender perception in designed objects through practice-based research
Perceptions of gender are not limited to people; they extend to objects, products, and environments through subtle interactions between form, language, and cultural context. The inclusion and arrangement of specific aesthetic attributes are a primary driver of perceived object gender, interacting with various factors, including cultural and personal individual identity. This creates an opportunity to reframe the question of “object gender” through a design research lens.This PhD project seeks to explore object gender through practice-based design research. It leverages user …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
Learning complex dynamics from multimodal time-series data
Modelling non-stationary dynamics from high-frequency time-series data remains challenging. These signals often exhibit complex temporal and spectral structure, while observations are typically noisy, incomplete, and affected by changing operating conditions, making reliable prediction and representation learning difficult.This PhD project, offered at Queensland University of Technology (QUT) in collaboration with industry partners, focuses on learning representations and dynamics from multimodal time-series data.The research will explore deep approaches including sequence models, transformer-based architectures, anomaly detection, graph neural networks, and self-supervised learning, with …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Energy transitions in the food sector: how AI shapes consumer behaviour over time
Energy transitions are often studied in sectors such as transport (e.g. electric vehicles) and housing (e.g. solar panels, batteries), where decisions are relatively infrequent, highly deliberative, and associated with clear long-term payoffs. In contrast, food consumption represents a fundamentally different energy-relevant sector: decisions are made daily or even multiple times per day, involve low deliberation, and prioritise immediate outcomes such as convenience, cost, and taste (Reisch, 2021). These characteristics make food systems particularly susceptible to short-term decision-making, where long-term energy …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
Energy Transition Centre
Acceptance and adoption of 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 ensure the social acceptance and support the adoption of ambient assistive technologies?Technologies that support independent living are about much more than fulfilling a particular task. They alter how people perceive themselves and how they engage with others. Students in this project …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Respectful ambient interactions with vision-based assistive technology
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 design respectful ambient interactions that balance assistance and privacy?Students in this project will develop a method and theory of interactive intent for people with cognitive disabilities. The theory will be established through an exploration of the new types of interactions made …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
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
Exploring the accessibility needs of visually impaired peer workers in digital employment support platforms
This project will explore how blind and visually impaired (VI) peer workers use digital platforms in their day to day practice, with the aim of identifying or co-designing a platform that is accessible, JAWS compatible and aligned with the requirements of industry partner Chapter1’s peer-led employment services.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
α-Synuclein–specific T-cell responses as early adaptive immune markers of Parkinson's disease
Parkinson’s disease develops over many years before motor symptoms become clinically apparent, limiting opportunities for early intervention. Increasing evidence suggests that adaptive immune responses, particularly T cells that recognise α-synuclein, may emerge during at-risk and early stages of disease.This project will investigate whether α-synuclein–specific T cells are expanded in at-risk individuals and early Parkinson's disease patients, with the goal of identifying early immune changes that may precede clinical disease onset.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Early innate immune signatures as biomarkers of Parkinson's disease onset
Parkinson's disease is typically diagnosed after the onset of motor symptoms, when significant neurodegeneration has already occurred. Growing evidence suggests that immune dysregulation, particularly within the innate immune system, may arise in the prodromal and early stages of disease and contribute to disease initiation.This project will investigate whether individuals in the prodromal and early stages of Parkinson's disease exhibit distinct peripheral immune signatures, focusing on monocyte and macrophage polarisation and plasma cytokine profiles, with the aim of identifying early immune …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
SLAM inside the human body: camera tracking and 3D reconstruction for medical procedures
Minimally invasive surgery and endoscopic interventions rely heavily on the clinician’s ability to understand and navigate complex internal anatomy using only a narrow and often restrictive field of view. Having access to an accurate and dynamic 3D reconstruction of the endoscopic scene, together with reliable camera pose estimation can significantly improve spatial awareness and navigation during procedures. The generated map can be used alongside the device’s estimated location to help clinicians better orient themselves within the patient, and it also …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Supporting boundary management in young people's AI companion interactions
We invite applications for Honours research within an interdisciplinary research team examining how young people engage with AI companion chatbots (e.g., Character.AI, Replika) and how they manage risks and boundaries in these interactions.AI companions have grown in popularity since the COVID-19 pandemic and are increasingly used by young people seeking connection. This trend raises important concerns, including exposure to harassment, misinformation, and self-harm, as well as the potential impact on human relationships when reliance on AI companions becomes significant.This project …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
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