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 127 matching student topics
Displaying 73–84 of 127 results
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
Enhancing clinical decision-making through AI-assisted agents
Artificial Intelligence (AI) has shown tremendous potential in revolutionizing healthcare delivery. This research focuses on developing AI agents that can augment clinical decision-making processes, ultimately improving patient outcomes. The project aims to explore and design novel AI architectures that integrate disparate medical data sources, providing context-aware recommendations for diagnosis, treatment planning, and care coordination. Despite the promising applications of AI in healthcare, significant challenges remain in integrating these technologies into clinical practice effectively and safely.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
Developing and evaluating an evidence-based and practical system approach to reduce surgical site infections
A surgical wound is an incision in the skin that is made during a surgical procedure and generally expected to heal within two to four weeks by primary intention in an orderly manner through the normal wound healing process. However, this process can be disrupted by many factors, leading to complications such as wound dehiscence, non-healing wounds, surgical site infections and sepsis. On average, there are 11 surgical wounds infected for every 100 surgical wounds and these surgical site infections …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Nursing
- Research centre(s)
- Centre for Healthcare Transformation
Studying the small proteins of the global microbiome
As part of an ARC Future Fellowship project awarded to Luis Pedro Coelho, we aim to study small proteins with the aim of better understanding them and laying the groundwork for exploiting them for biotechnological purposes. Small proteins (up to 100 amino acids, but often much shorter) have vital roles in all areas of life, but have been neglected in research due to lack of methods.Particular projects in this topic include developing methods for determining function based on genomic context, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Novel algorithms for microbiome data
Metagenomics data is complex, high-volume data and keeps evolving, requiring novel computational method development as the wetlab approaches changes and databases grow. Thus, novel computational methods are required to take advantage of them.There are several potential projects under this topic, including:using deep learning to improve metagenomics assemblydeveloping better tools to analyse the presence of resistance genes in metagenomics datadeveloping approaches for estimating the quality of genomes from novel generation sequencespredicting the function of small sequences using more than just sequence.Interested …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Improving language outcomes in people with epilepsy
Epilepsy is a serious and debilitating condition which is grossly under-researched despite the devastating impact it can have. Damage to the vast language processing network of the brain during surgical resection can cause aphasia, a devastating communication disability. This project aims to determine reliable pre-surgical mapping and outcome predictors in epilepsy resection: To 1) develop a reliable and comprehensive battery to map the language network in pre-surgical epilepsy patients with different foci, and 2) assess how the reorganisation of the …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
The economics of transport and work-related injuries in Australia: a population-based cohort study
Injury is a major contributor to mortality, morbidity, and permanent disability, and imposes a significant burden on the Australian health system. A better understanding of the burden, models of care, and economic drivers of injury will help design cost-effective injury prevention and treatment strategies to minimize the incidence and burden of the disease while improving injury outcomes.
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Healthcare Transformation
Australian Centre for Health Services Innovation
Motivation to exercise: how does a virtual cycling stimulus influence performance on a stationary bicycle?
This research project will use Zwift exercise bikes at the QUT Gardens Point Campus to investigate how different sources of visual information influence physiological (e.g., RPE, HR) and psychological variables (e.g., engagement, enjoyment, motivation, immersion). The visual information will be presented on a large screen in front of the rider. The rider will view themselves on a virtual cycling course where inclines and declines will be mapped to the resistance the rider experiences through the pedal cranks. There is a …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Exercise and Nutrition Sciences
From a descriptive to a predictive understanding of the human microbiome
Microorganisms have a profound influence on biological, environmental, and industrial processes, but understanding the complex dynamics of microbial communities and how to manipulate them to our advantage remains a challenge. CMR Director Professor Gene Tyson has recently been awarded a prestigious ARC Laureate Fellowship that aims to overcome current technological limitations and transform microbial ecology from a descriptive to a predictive science. This will be achieved using as a model the most intensively studied ecosystem on the planet: the human …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
HoliCOW – A holobiont strategy to decipher core host-microbiota interactions in cows
To meet the goal of limiting global warming to 1.5C, methane emissions from ruminants such as beef and dairy cattle must be reduced by 11–30% by 2030 and by 24–47% by 2050 compared to 2010 levels. A newly funded Future Fellowship project is hiring 2 PhD students who will tackle this challenge by creating a thorough mechanistic understanding of the microbiological, biochemical and genetic processes that cause methanogenesis in the cow rumen. These activities will identify core beneficial microbiota that …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Advancing monitoring of diverse grass pollen with computer vision
We're seeking motivated students to join an ongoing multidisciplinary project that brings together computer vision and deep learning field with pollen aerobiology as part of the Australian Research Council Discovery Program—Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. The successful candidate will be primarily based in the Allergy Research Group at QUT's Kelvin Grove campus.Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in over 500 million people. With over 10,000 species, the influence of …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Robotics
Centre for Immunology and Infection Control
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
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
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.