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 446 matching student topics
Displaying 73–84 of 446 results
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
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
A Human-centric eXplainable Automated Vehicle
CARRS-Q has developed a strong expertise in AV and ADAS, and operate an Automated Vehicle for its research on test track and open roads.We have collected more than 12,000km of sensor data in various Australian conditions, and we are progressing quickly to a broader understanding of safe operation of AV technologies on our roads. We are looking for PhD candidates to progress further on these topics. PhD positions are available for highly motivated domestic and/or international students to work on …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Psychology and Counselling
Analysing the oceanographic variables that generate and mobilise coral rubble on the GBR
There is increasing concern on the effects of global warming and how it is increasing the frequency and severity of disturbance events on the Great Barrier Reef (GBR), an enduring living structure on our planet. For example, the intensity and frequency of tropical cyclones is likely to increase and this will also reduce the time available for coral reefs to recover.Moreover, there are other factors that contribute to the vulnerability of coral to mechanical breakage, such as crown of thorns …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Climate vulnerability of nut and pulse food systems in Australia
Arable land, water resources and biodiversity are under pressure from increased human populations and resource needs. On top of that, natural and agri-food systems are rapidly changing due to natural disturbances, with climate change likely to increase the impacts of extreme events like drought and wildfire.With climate change, negative impacts on agriculture are predicted with disruptions to food supply; many ecosystems have already been impacted by increased frequency and severity of extreme fire events; coral reefs will be threatened by …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Centre for the Environment
Resolving uncertainty in decisions to improve agri-food system outcomes for people and nature
Despite efforts to monitor and manage declining species and ecosystems around the world, biodiversity is still not routinely included in mainstream decision-making and continues to decline at the highest rate in human history. Added to this is the problem that both natural and agri-food systems are complex networks that are continually changing due to human and natural disturbances, with climate change likely to increase the impacts of extreme events like drought, fire and economic shocks on these networks.Because of large …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Understanding the impacts of biodiversity-focused interventions to agri-food systems on people and nature
Despite efforts to monitor and manage declining species and ecosystems around the world, biodiversity is still not routinely included in mainstream decision-making and continues to decline at the highest rate in human history. Added to this is the problem that both natural and agri-food systems are continually changing due to human and natural disturbances, with climate change likely to increase the impacts of extreme events like drought, fire and economic shocks. Because of large uncertainties and trade-offs between many human …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Centre for the Environment
Development of a multiplexed gut micro-bioreactor for functional screening of gut microbiome
The human microbiome refers to the collection of micro-organisms that are living symbiotically in the human body (defined as the “microbiota”), their genetic material as well as the surrounding environmental habitat.It is now appreciated that the microbiome plays an important role in human health and diseases. Various disease states have been linked to dysregulation of the gut microbiota, including neurodegenerative, cardiovascular and metabolic diseases. The composition of the gut microbiome can also affect responses to therapies, most notably in cancer …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Microbiome Research
Development of a 3D Printed Nasal Model to Study Viral-Airway Interactions
As airway infections become pandemic worldwide, airway models to investigate pathogen infection mechanism and nasal drug delivery is now increasingly important. However, current airway models cannot mimic the triad coupling of human nasal anatomical geometries, aerosol flow and biological responses (e.g. infection and inflammation) from the nasal epithelium.Computational fluid dynamics (CFD) models are used for simulating pathological airflow patterns resulting from anatomical structural changes of the nasal cavities, but they cannot measure phenotypic or functional alterations in the nasal epithelium …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Wound care in regional/rural Queensland
Barriers to health care for regional/rural residents often relate to the limited availability of local health services and resources and the distance needed to seek suitable specialised services. Wounds experienced in rural and regional areas are often dependent upon the types of employment available, recreational pursuits and risk-taking behaviours.The prevalence of non-communicable lifestyle related risk factors (such as obesity and poor nutrition) and the propensity for an ageing population in rural and regional areas, positions this population group as one …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Nursing
Coarse-grained molecular dynamics modelling in expansive soil
Expansive soil/active soil has wide applications in geotechnical engineering and other engineering disciplines due to its desirable special properties - for example, low permeability and swelling pressure under saturated condition. But these materials are highly susceptible to experiencing huge volume change and even damage due to moisture content reduction. However, the underlying mechanism of this phenomenon is still not clear for geotechnical engineers. Therefore, there is no optimum solution available to solve the problem.In this project, a special modelling approach …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
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
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
From LiDAR or drone imagery to structural geometries
LiDAR geo-spatial data (3D coordinates) are freely available from government websites such as "QSpatial data portal". Alternatively, the use of drones have also become popular in aerial surveys and imagery.The geospatial data from these sources include 3D coordinates of various built structure. The data can be downloaded (in case of LiDAR) or processed from images (in case of drone survey) to create actual 3D picture of building structures. This work is commonly done using rendering software. The use of this …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
-
Centre for the Environment
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