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 8 matching student topics
Displaying 1–8 of 8 results
QIMR01 - Improving diagnostic processes for regulatory region variants
Hereditary disease diagnosis has improved dramatically in recent times due to improvements in genomic sequencing technology. The majority of work however has centered on the diagnosis of gene variants in the protein coding region of the genome. The non-coding region of the genome remains an unexplored and underdiagnosed area. In particular, variants in regulatory regions have a high likelihood of impacting gene function and causing disease, but few have sufficient available information to determine if they cause disease in a …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Implementing virtual reality techniques to investigate users’ perceptions of hospital rooms
We have an ongoing project that investigates how patients and their carers respond to different lighting conditions and outdoor views in hospital rooms (recovery ward). We want to better understand how daylighting and views influence occupants’ attitudes during their recovery process.This would contribute to designing hospital environments that are more responsive to users’ requirements for well-being.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
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
QIMR05 - Evaluate blood cell free DNA for detection of actionable mutations for advanced lung cancer
LocationQIMR Berghofer, HerstonWe work across multiple different cancer types using a wide range genomics data, including whole-genome, whole-exome, panel sequencing and transcriptome to understand cancer development and treatment of cancer patients.BackgroundLung cancers remain the leading cause of mortality from cancer representing 18% of all cancer’s death, with a 5-year survival of only 10 to 20%. Most lung cancer patients are diagnosed at advanced stages of disease. For the majority of these patients the main method to acquire tumour material for …
- Study level
- Vacation research experience scheme
- School
- School of Biomedical Sciences
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
Efficient Parameter Estimation for Stochastic Simulations
Stochastic simulation-based models are routinely used in many areas of science to describe inherent randomness in many real-world systems. Applications include the study of particle physics, imaging if black holes, biochemical processes, the migration of animals, and the spread of infectious diseases. To apply these models to interpret data requires statistical methods to estimate model parameters.Unfortunately, standard statistical techniques are not capable of analysing data using these models. This is largely due to the model likelihood, the probability of the …
- 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
Traces of zinc and ciprofloxacin loaded polymer nanoparticulate inhaled formulations against lung infections associated with COPD and CF (CLIN08)
Lower respiratory tract infections (LRTIs) are one of the fatal diseases of the lungs that have severe impacts on public health, especially for Indigenous people. The currently available antibiotics administered orally for the treatment of LRTIs need high doses with frequent administration and cause dose-related adverse effects. To overcome this problem, we will investigate the development of ciprofloxacin (CIP) loaded poly(2-ethyl-2-oxazoline) (PEtOx) nanoparticles (NPs) with traces of zinc for potential pulmonary delivery from dry powder inhaler (DPI) formulations. As zinc …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
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Centre for Immunology and Infection Control
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