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 680 matching student topics
Displaying 577–588 of 680 results
Unravelling the function of PSA variants in prostate cancer
OverviewProstate cancer (PCa) is the second-most common cancer in men. Prostate-specific antigen (PSA) encoded by the KLK3 gene is the only FDA-approved PCa biomarker for PCa. As a serine protease, PSA can also regulate multiple functions involved in PCa progression and metastasis and is summarised in our recent publications. Immunotherapies, including PSA-targeting therapies, have shown modest improvement in survival, for only a subset of metastatic PCa patients. Not much is known on the immunoregulatory role of PSA or its variants, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
CGPH01 - Human neural stem cell models to understand neurogenesis and neurodegeneration
Neurodegenerative disorders such as Alzheimer’s Disease continue to impact the quality of life of a significant number of Australians, yet they remain untreatable. If we focus on how human neural stem cells behave normally and compare them to similar cells from Alzheimer’s patients, we will likely gain a better understanding of what has gone wrong and potentially how to stop it or fix it.
- Study level
- PhD, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
A soft robotic manipulator for spinal surgery
The geriatric population in Australia (4.2 million 2020, ABS), is growing steadily with numbers expected to double in the coming years. Incidences of spinal disorders requiring surgical treatment are therefore predicted to increase, incurring an estimated lifetime cost of AUD 3.7 billion per case (The Treasury). Robotics, an increasingly important component of modern medicine, is well suited to address the minimally invasive surgical needs of treating the spine.This project proposes the use of a soft-robotic manipulator to carry out spinal …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Assessing the quality of cluster analysis
Machine learning cluster methods are common classification methods, but methods for assessing performance are limited as are methods for explaining how they work. Exploring methods for both assessing and explaining performance are the subject of this research with application to real-world contexts with the Australian Bureau of Statistics.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Explainability of outlier detection methods
Outliers are anomalous observations in a data set that are "outside the norm" of what would be expected. Identifying outliers is an important part of exploratory data analysis and data analysis in general. It is often a challenging problem and calls for advanced methods and approaches, including machine learning-based tools. As methods become more and more complex, their explainability becomes more difficult and more important. This research project will look at all aspects of explainability and explore new approaches and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
BIOM05 - Application of fluorescence microscopy for the visualization of methane-oxidizing microorganisms in the environment
The archaeal lineage Methanoperedenaceae are anaerobic methanotrophs with a key role in mitigating the atmospheric release of the potent greenhouse gas methane. The metabolic diversity of these microorganisms directly links methane with several key biochemical cycles and suggests a remarkable ability of these microorganisms to adapt to diverse environmental conditions.These microorganisms have never been grown in a laboratory and have only been studied in enrichment cultures with several other partner microorganisms. How these microorganisms grow and interact with these bacterial …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
The role of genetics in the development and mechanism of human traits
The Statistical and Genomic Epidemiology Laboratory (SGEL) studies the role of genetics in the development and mechanism of human traits, with particular emphasis on migraine, and the specific goal of identifying genetic risk factors and detecting common genetic links with other disorders, in particular depression, endometriosis, and epilepsy.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
Aerosol presursors in Australian marine environments
Aerosols, tiny solid or liquid particles, play an important role in global climate regulation, firstly, by scattering and absorbing incoming solar radiation and, secondly, by their ability to take up water vapor from the atmosphere and serve as nuclei for cloud droplet formation (Cloud Condensation Nuclei (CCN)).With oceans covering 71% of the Earth’s surface, marine aerosols present a significant proportion of the global aerosol budget. Production of particles in the marine environment occurs via 2 pathways: 1) wave breaking and …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
-
Centre for the Environment
Machine Learning-based pedictive tool for energy storage
The fundamental idea behind the ML approach is to analyze and map the relationships between the physical,chemical, and energy storage properties of materials with their associated output data. This early understanding of the energy storage capabilities through the ML approach helps the material scientists to clearly understand, discover, and optimize the fabrication process to develop highly efficient energy storage systems. It also provides key steps in the device fabrication process omitting excessive experimental stages.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
The impact of automotive interior materials on user experience in the era of EVs
Materials play a crucial role in shaping people's perceptions, experiences, and emotional responses to the products they encounter. In automotive design, this significance is particularly pronounced within the interior cabin space, especially in the age of sustainability and electric vehicles (EVs).The materials utilised heavily influence how customers and users perceive the value, quality, and emotional aspects of their interactions. While numerous studies have examined the link between interior materials and traditional internal combustion engine (ICE) vehicles, the advent of EVs …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Natural disaster (landslide, earthquake) mitigation using remote sensing, geophysics, and site monitoring
Extreme weather events can exacerbate slope and dam stability issues. Risk mitigation, stabilisation works, and engineered solutions to slope or dam failure require detailed site and subsurface characterisation – generally undertaken after a failure, but often resulting in unacceptable delays to remediation, impacting communities, transport, and water resources.This project will develop pre-emptive risk mitigation measures for at-risk sites, utilising remote sensing, geophysical, and monitoring approaches.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Lunar seismology: Using lunar seismology data for site characterisation at Schrodinger crater
QUT is involved in the science team for a recently Australian Space Agency-funded mission to Schrodinger crater, to deploy a Fleet Space seismometer. QUT is developing workflows to translate the seismic data into detailed subsurface models for site characterisation, off-world construction, and in-situ resource mapping of materials such as ice.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
- Centre for Data Science
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