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 22 matching student topics
Displaying 13–22 of 22 results
Design, Simulation and Implementation of a Reliable PV Fault Detection Technique
Faults in any elements such as modules, lines, DC-DC converters and DC-AC inverters of photovoltaic (PV) systems can impact the reliability of the system and exacerbate the efficiency. Some other faults such as ground-fault might lead to significant issues such as the risk of fire. Therefore, it is crucial to investigate and detect the faults in the PV system and prescribe the appropriate actions.The supervisory team is looking for passionate students who are keen to conduct an overarching review and …
- Study level
- PhD, Master of Philosophy
- 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
Curvature dependence of reaction-diffusion wave front speed with nonlinear diffusion.
Reaction-diffusion waves describe the progression in space of wildfires, species invasions, epidemic spread, and biological tissue growth. When diffusion is linear, these waves are known to advance at a rate that strongly depends on the curvature of the wave fronts. How nonlinear diffusion affects the curvature dependence of the progression rate of these wavefronts remains unknown.
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
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, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for Biomedical Technologies
Scalable Bayesian Inference using Multilevel Monte Carlo
Bayesian inference is a popular statistical framework for estimating the parameters of statistical models based on data. However, Bayesian methods are well known to be computationally intensive. This fact inhibits the scalability of Bayesian analysis for real-world applications involving complex stochastic models. Such models are common in the fields of biology and ecology.Multilevel Monte Carlo (MLMC) methods are a promising class of techniques for dealing with the scalability challenge. These approaches use hierarchies of approximations to optimise the trade-off between …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Molecular simulation of rotational diffusion in ideal liquids
Rotational tumbling of molecules in a liquid is an important phenomenon in Magnetic Resonance Imaging (MRI) because it determines the spin-relaxation rates of the resident nuclei which can determine MRI contrast.For a relatively simple molecular process, the theoretical description of rotational motion of molecules in liquids remains controversial. The most commonly used model, the Debye model, assumes that:the rotational diffusion propagator of a tumbling molecule is a solution of the diffusion equation on a spherical surfacethis solution is described by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Advancing robotic vision systems: a next-generation event camera plugin for robotics simulators
This project aims to develop an event camera plugin for a robotics simulator, advancing the capabilities of robotic vision systems in simulation environments. Event cameras offer a unique approach to visual data acquisition, with each pixel operating independently and triggering an event once a pre-set change in brightness threshold is surpassed. This eliminates the need for conventional frames, while providing low-latency, high-speed operation and an exceptionally wide dynamic range.Previous attempts to simulate event cameras, such as rpg_esim and v2e, have …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Human-machine interface (HMI) design to manage driver engagement in automated vehicles
We are seeking an enthusiastic and dedicated individual to join the Empathic Machines project as an HCI/HMI PhD Researcher. This interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and Seeing Machines, aims to explore the concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of human-machine interaction, interface design, and attention sharing to enhance safety and user experience in automated vehicles.A …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Psychology and Counselling
- Research centre(s)
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Centre for Future Mobility/CARRSQ
Branching processes, stochastic simulations and travelling waves
Branching processes are stochastic mathematical models used to study a range of biological processes, including tissue growth and disease transmission.This project will implement a simple stochastic branching process to generate simulations of biological growth, and then consider differential equation-based description of the stochastic model.Using computation we will compare the two models, and use phase plane and perturbation analysis to analyze the resulting traveling wave solutions.
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Maxwell's Demon revisited: Molecular simulations as a statistical physics learning tool
In his 1871 'Theory of Heat', James Clerk Maxwell introduced a fictitious being who can violate the second law of thermodynamics by following the trajectory of every molecule within a gas.The being, later dubbed 'Maxwell's Demon' by Lord Kelvin, would operate a small trapdoor in a partitioned container to allow hotter and colder molecules of the gas to pass to opposite sides of the container. The Demon would be able to raise the temperature of the gas in one half …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Making predictions using simulation-based stochastic mathematical models
Stochastic simulation-based models are very attractive to study population-biology, disease transmission, development and disease. These models naturally incorporate randomness in a way that is consistent with experimental measurements that describe natural phenomena.Standard statistical techniques are not directly compatible with data produced by simulation-based stochastic models since the model likelihood function is unavailable. Progress can be made, however, by introducing an auxiliary likelihood function can be formulated, and this auxiliary likelihood function can be used for identifiability analysis, parameter estimation and …
- Study level
- PhD, Master of Philosophy, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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