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 21 matching student topics

Displaying 13–21 of 21 results

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

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

Combining solar and vibration energy harvesting for rainfall prediction

Rainfall prediction plays a crucial role in various sectors such as agriculture, water resource management, and disaster preparedness. Traditional prediction methods often rely on complex meteorological models and expensive equipment. However, advancements in energy harvesting technology offer the opportunity to develop low-cost and sustainable solutions for rainfall prediction.This project proposes to leverage solar and vibration energy harvesting for rainfall prediction. Combined measurements from both solar and vibration energy harvesting can provide comprehensive data for real-time monitoring of cloud coverage and …

Study level
Honours
School
School of Information Systems

Using mathematics to understand multiple sclerosis: what causes the immune system to attack the brain?

Every day, we use our bodies to move, think, talk and eat, but for people with multiple sclerosis (MS) these tasks can be virtually impossible. MS is a chronic disease which develops because the immune system has started to attack the nerve cells in the brain. This causes the degradation of parts of the brain and irreversible impairment in physical and mental activity. Unfortunately, this disease has no cure, and while considerable therapeutic advances against this disease have been achieved, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

The efficacy of Mental Health First Aid (MHFA) training in community sport

Organised sport is primarily community based in Australia; and the benefits of sport participation to individuals and communities are well documented. However, there is also evidence that participating in organised high-performance sporting programs is associated with psychological distress, elevated relative to community norms, which would usually warrant a need for care by a health professional. As such a case for improvement in mental health education and practice in sporting communities exists.Mental Health First Aid (MHFA) is a standardised, psychoeducational programme …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Exercise and Nutrition Sciences

Avatar customisation for diversity training in virtual reality

Avatar representation is found to be crucial for user engagement in various types of applications and user identifications with avatars. This project aims to design and develop an environment where users can customize their avatars by looking at a virtual mirror. In this project, where users will be trained in diversity awareness, it is crucial for them to feel like the character who is in the scenario. The outcome of the project will be used in experiments to test the …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Enhancing sonographer work-integrated learning: balancing quality training with workforce demands and student well-being

Sonographers, highly skilled healthcare professionals responsible for essential diagnostic ultrasound services, are currently facing a severe nationwide shortage. The Australasian Sonographers Association reported a deficit of at least 3,000 sonographers in 2019. Training new sonographers involves comprehensive work-integrated learning (WIL), which blends academic knowledge with structured real-world experiences to develop vital clinical skills. However, due to escalating workforce demands, concerns have arisen about potential exploitation of students within workplaces. This exploitation could involve assigning tasks exceeding their capabilities or subjecting …

Study level
PhD, Master of Philosophy
School
School of Clinical Sciences

Scheduling of vessel movements in channel constrained ports

International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …

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

Optimising delivery of a novel nose-to-brain treatment for brain cancer

Glioblastoma multiforme (GBM) is an aggressive brain cancer with no curative treatment and poor prognosis. One of the biggest challenges with treating GBM is the inability of treatment to cross the blood-brain barrier resulting in poor drug distribution in the brain. Fortunately, scientists have recently developed a novel nose-to-brain delivery system that uses nanoparticles loaded with a chemotherapy drug called paclitaxel. Initial treatment investigations in vivo are showing significant promise in reducing and controlling the tumour burden. While exciting, before …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

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