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 102 matching student topics
Displaying 13–24 of 102 results
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
Medication and dietary supplement use and symptom severity of chemotherapy-induced peripheral neuropathy
Chemotherapy-induced peripheral neuropathy (CIPN) is highly prevalent and clinically problematic, occurring in up to 60–80% of people receiving chemotherapy. Despite the high prevalence and significant patient and healthcare burden of CIPN, treatment options are limited.This project will explore the association between medication and dietary supplement use and symptom severity of CIPN to identify factors that might worsen or improve CIPN symptoms.
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Nursing
- Research centre(s)
- Centre for Healthcare Transformation
Cancer and Palliative Care Outcomes Centre
Medical selfies and patient generated health data
Smartphones and wearable technologies provide exciting opportunities for patients and health professionals to transform healthcare.Patients can benefit from photos (“medical selfies”) taken on their smartphone to record a condition that they want to discuss with a health professional. Wearable devices allow patients to semi-automatically collect data about their physical activity, sleep, mood, diet, etc.This data can help patients to better understand a health concern, its underlying causes and the impact of treatments.Clinicians, on the other hand, can benefit from medical …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Predicting good sleep using computer science: Can we use machine learning to find out 'what's the best bed?'
In the Westernised world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial determinants of restful sleep in non-pathological, …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Develop microfluidic technologies for cardiovascular and cerebrovascular diseases
The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms. Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.To address this pressing need, we're developing simple-to-use, high-throughput and highly-informative microfluidic biochips to understand the sequences of molecular events underlying biomechanical thrombosis (mechanobiology). …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
A new physics informed machine learning framework for structural optimisation design of the biomedical devices
The machine learning based computer modelling and simulation for engineering and science is a new era. The optimisation analysis is widely used in the design of structures.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Bio-inspired design to create strong and toughness composites
A fundamental challenge to materials design for mechanical capability is to attain both strength and toughness at the same time in one body. Conventional metallic materials generally have relatively large plasticity due to having massive population of microstructural defects and effective plastic deformation mechanism, which have long been exploited for fabricating flaw tolerant (toughness) materials for structural applications. By the same token theseStructural defects render the materials relatively low strength, thus low load-bearing capability. In contrast, ceramics and intermetallic compounds …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Materials Science
Image-based computational model to predict intracranial aneurysm rupture
Intracranial aneurysms are bulging, weak areas of an artery that supply blood to the brain which are relatively common. While most aneurysms do not show symptoms, 1% spontaneously rupture which can be fatal or it can leave the survivor with permanent disabilities. This catastrophic outcome has motivated surgeons to operate on approximately 30% of aneurysms despite their rate of complications arising and cost of operation.The impact of aneurysm morphology on blood flow shear stress and rupture could educate surgical decision-making …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Providing legal evidence for non-accidental scald burn injury
Although most burn injuries are completely accidental in nature, they can also occur due to neglect or abuse. Burn clinicians are often required to ascertain if the patient history and the wound are consistent with accidental or non-accidental injury. If the case goes to court, the clinician will prepare a medico-legal report as evidence. We have previously conducted studies examining the depth of burn injury after different durations and temperatures of hot water. This data can be used to predict …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Development of bioengineered 3D tumour models for preclinical breast cancer research
3D organoid model technologies have led to the development of innovative tools for precision medicine in cancer treatment. Yet, the lack of resemblance to native tumours, and the limited ability to test drugs in a high-throughput mode, has limited translation to practice.This project will progress organoid models by using advanced tissue engineering technologies and high-throughput 3D bioprinting to recreate 'mini-tumours-in-a-dish' from a patient’s own tumour cells, and study the effects of various components of the tumour microenvironment on drug response.In …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Traces of zinc and ciprofloxacin loaded polymer nanoparticulate inhaled formulations against lung infections associated with COPD and CF (CLIN08)
Lower respiratory tract infections (LRTIs) are one of the fatal diseases of the lungs that have severe impacts on public health, especially for Indigenous people. The currently available antibiotics administered orally for the treatment of LRTIs need high doses with frequent administration and cause dose-related adverse effects. To overcome this problem, we will investigate the development of ciprofloxacin (CIP) loaded poly(2-ethyl-2-oxazoline) (PEtOx) nanoparticles (NPs) with traces of zinc for potential pulmonary delivery from dry powder inhaler (DPI) formulations. As zinc …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
-
Centre for Immunology and Infection Control
Model predictive control of connected vehicle platoons
Control of connected vehicle platoons can ensure the swift movement of traffic through a city by sharing vehicles' states and desired actuation. This networked control design can alleviate traffic jams, reduce vehicle emissions, and reduce fuel usage through improved aerodynamics. Model Predictive Control algorithms are a natural solution to address constraints arising from both communications and system dynamics. A key challenge is to design distributed control algorithms that are robust to disturbances in the environment and to stochastic information from …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.