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 48 matching student topics
Displaying 13–24 of 48 results
What does the future of fashion look like?
The future of fashion consumption is changing rapidly. A new digital fashion economy is emerging at the intersection of fashion, law and social change.Incumbent fashion houses are now staking their territorial claims in the digital realm.At the same time, traditional markets for fashion have failed, and manufacturing has been largely offshored, while consumers are increasingly more informed about the impact of fashion consumption.
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
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
Comprehensive strain-level characterisation 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 1,2. An unfavourable shift in gut microbiome composition, known as dysbiosis, is now considered a key feature of IBD 2-5, 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 phylogenetic and functional resolution. Furthermore, these studies have predominantly …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Medical litigation, medical law and compensation for medical negligence
Tina Cockburn is interested in supervising PhD students in the area of patient safety law — focusing on medical litigation and compensation for medical negligence, communication of information to patients (including consent and post treatment open disclosure), regulation of health care professionals and the regulation of innovative medical treatment and new technologies.
- 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
Involuntary Treatment for Mental Illness: Under what circumstances is it ethically justified?
Dr Sam Boyle is looking for candidates wanting to explore the ethical and legal issues associated with providing involuntary treatment for people with mental illnesses. Candidates may explore this issue in relation to ethics, human rights, or any other relevant angle, including an international comparative approach.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
Voluntary assisted dying, medical practitioners and conscientious objection
Should legislation permitting Voluntary Assisted Dying (VAD) provide medical practitioners with a right to conscientiously object to VAD and, if so, what should the scope of that right be?Should it include a right not to give a person asking about VAD any information about it? In Victoria the legislation provides an unrestricted right to conscientiously object whereas in Western Australia the right to object is qualified by a requirement to give the patient information about VAD. Which position is most …
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
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
Digital twin in medical or sports context
Digital twins are virtual models of physical systems that use real-time data to mirror, simulate, and analyse behaviour. In medical and sports domains, they offer exciting opportunities for innovation.This project focuses on exploring these applications and aims to create digital twins to better understand and improve outcomes in these rapidly evolving fields.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
3D scene reconstruction for medical application
New computer vision methods using machine learning can reconstruct 3D dynamic environments. We are working on medical application to track clinicians, patients body, lesions and tools. Those techniques can be applied for tracking injuries (e.g. wound), providing analytic of operating theatre, and provide guidance for surgical intervention.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Explainable AI for medical imaging
AI is increasingly used for interpreting medical images (e.g. MRI, CT, X-ray) in order to diagnose or monitor diseases. We are working on methods that can explain the AI decision and provide supplementary information. For example, if AI detect an abnormality, we want to generate the same scan without the abnormality. Another example is to detect automatically an area that is suspicious just by learning what healthy scans look like.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Multimodal AI to simulate medical student competency
The assessment of medical graduate competency is a cornerstone of medical education and a critical safeguard for patient safety. Newly qualified physicians must demonstrate a broad range of skills and knowledge, including diagnostic reasoning, clinical decision-making, communication, procedural skills, and professionalism before independently practicing medicine. Traditional assessment methods often include standardized multiple-choice examinations, objective structured clinical examinations (OSCEs), direct observation of procedural skills (DOPS), and portfolio reviews. While these methods offer valuable insights, they have inherent limitations. Standardized tests may …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Data Science
Unveiling the explainability imperative in medical AI
As AI systems become increasingly prevalent in medical applications, the need for explainable AI (XAI) has become crucial. This research investigates the critical issue of explainability in medical artificial intelligence (AI) systems. This project investigates methods for improving the interpretability and transparency of AI models used in medical diagnosis, treatment planning, and prognosis prediction. Understanding the reasoning behind AI-driven decisions is essential for building trust among healthcare professionals and ensuring patient safety.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
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