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 685 matching student topics
Displaying 601–612 of 685 results
Small, high efficiency, low cost appliance UPS
An existing household Battery Energy Storage System (BESS) constitutes a large investment which may require approval and certainly requires professional installation. In contrast, a consumer Uninterruptible Power Supply (UPS) is relatively low cost and can be installed by the householder "in-line" with a computer. However, these low cost UPS are often not efficient, and are not designed for "cycling", and often only have sufficient back-up time to allow the safe shut down of the attached computer.An efficient, larger capacity UPS …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
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Centre for Clean Energy Technologies and Practices
Mathematical and computational models for diffusion magnetic resonance imaging (dMRI)
In 1985, the first image of water diffusion in the living human brain came to life. Since then significant developments have been made and diffusion magnetic resonance imaging (dMRI) has become a pillar of modern neuroimaging.Over the last decade, combining computational modelling and diffusion MRI has enabled researchers to link millimetre scale diffusion MRI measures with microscale tissue properties, to infer microstructure information, such as diffusion anisotropy in white matter, axon diameters, axon density, intra/extra-cellular volume fractions, and fibre orientation …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for Biomedical Technologies
Bacteria - mammalian cell interactions in implant-associated infections
The recent COVID-19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Anthony Gristina conceptualized in 1987 that bacteria compete with tissue cells …
- 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
Race for the surface: helping implants to win the race
The recent COVID-19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them.Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.When a biomaterial is implanted into the body and bacteria get into …
- 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
Understanding and manipulating bacterial motility for infection control (PhD)
The recent COVID 19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Bacterial motility/movement and group-coordination on surfaces and in 3-dimensional environment …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Developing predictive models, methods and analytics for complex sports data
A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Mathematical modelling of ecosystem feedbacks and value-of-information theory
Ecosystems respond to gradual change in unexpected ways. Feedback processes between different parts of an environment can perpetuate ecosystem collapse, leading to potentially irreversible biodiversity loss. However, it is unclear if greater knowledge of feedbacks will ultimately change environmental decisions.The project aims to identify when feedbacks matter for environmental decisions, by generating new methods that predict the economic benefit of knowing more about feedbacks. Combining ecological modelling and value-of-information theory, the outcomes of these novel methods will provide significant and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Addressing security challenges for the industrial internet of things
With the emergence of the Internet of Things (IoT) and Industry 4.0, there is a trend for applying these services and applications to a large-scale industrial area. The IoT paradigm has changed the way of interactions with the things that surround us. In essence, the IoT promises ubiquitous connection to the Internet, turning common objects into connected devices. It is predicted that there will be 50 billion connected devices at the end of the year 2022.Over the last few years, …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Optimal ecosystem management in rapidly changing systems
Delays in acting in collapsing ecosystems can be catastrophic. With every passing year, the chances that the ecosystem has progressed past some point of no return increases. Yet the research and development needed to develop a new technology can take a long time. Balance between these two dynamic processes is needed to determine the optimal length and effort for developing new technologies. This project will develop a method for finding the optimal schedule for developing technological readiness, social acceptability, a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Hierarchical visualisation of large social networks
Networks have been extensively used to capture social interactions, by representing individuals as nodes and their relationships as edges.Such networks have been used to model the spread of epidemics. A few nodes are 'infected', and over time they gradually infect their neighbours on the network, who in turn infect their neighbours, etc. This type of model can then be used to simulate different intervention strategies aimed at containing outbreaks.However, an important limitation is the difficulty to visualise these networks when …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Modelling and managing uncertain Antarctic species networks
Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Visualisation of CRISPR targets
CRISPR-Cas9 technology allows us to modify virtually any gene in any organism of interest. It has generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the 'guide RNAs' that will control where modifications occur.We have developed a software pipeline, named Crackling, to identify safe and effective guide RNAs across entire genomes. We're now seeking to develop a visualisation to communicate the results produced by …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
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