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 713 matching student topics

Displaying 193–204 of 713 results

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

Advanced maintenance of railways

Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation. Rail maintainers currently use a combination of time-based (scheduled) and condition-based approaches to balance the costs and benefits of inspections and maintenance.This project aims to enable advanced maintenance by advanced analysis of degradation patterns, establishment of new predictive models, and development of novel inspection and maintenance optimisation methods to efficiently allocate resources.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

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 a PhD position 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 …

Study level
PhD
Faculty
Faculty of Science
School
School of Computer Science

Physics informed machine learning for energy forecasting

Accurate forecasting is at the heart of many modern industries from energy and transport to retail, supply chains, finance, climate, and health. This research project explores deep learning approaches for time-series forecasting, investigating how modern architectures such as recurrent neural networks, LSTMs, Temporal Convolutional Networks, transformers, and multimodal foundation models can shape the next generation of forecasting systems.The overarching goal is to develop robust, interpretable, and scalable forecasting models that outperform classical methods and work effectively in real-world settings, including …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Energy Transition Centre

Improving access to information and support for burn survivor communities

This PhD project will explore the information and support needs of people with lived experience of burn injuries, their families and communities. The project will focus on people with burn injuries once they leave hospital or when the majority of their burns have healed. The likely outcome of the project will be resources and strategies that help burn survivors, their families and communities access information and support which they have expressed is a high priority.

Study level
PhD
Faculty
Faculty of Health
School
School of Public Health and Social Work
Research centre(s)
Australian Centre for Health Services Innovation
Australian Centre for Health Services Innovation

From lab to market: enhancing the translation of publicly funded research into commercial impact

Despite substantial advances in science, the translation of research findings into commercial products and services remains limited and uneven. Many promising ideas stall in the “valley of death” between laboratory discovery and market adoption, resulting in under-realised economic and societal impact.This research topic examines how scientific knowledge can be more effectively transformed into entrepreneurial ventures and innovations that deliver tangible outcomes. Positioned at the intersection of entrepreneurship and innovation, the topic explores the organisational, institutional, and individual factors that enable …

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

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