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 42 matching student topics
Displaying 13–24 of 42 results
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
Mathematical modelling of spatial plant patterns in a sub-Antarctic island
Various spatial patterns naturally emerge in ecology. These include stripes, spots, hexagons, and donuts, to name just a few. However, it can be puzzling to figure out how these patterns form.Systems of partial differential equation models can be used to simulate these patterns, and thereby provide ecologists with testable hypotheses for how these patterns formed.
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
A mathematical model of disrupting cell-to-cell communication by bacteria
The emergence of resistance of bacteria to antibiotics presents a global healthcare challenge that intensifies the search for strategies to increase the effcacy of therapy. Several mechanisms are involved in resistance of bacteria against antibiotics such as mutations in genes, horizontal gene transfer, and biofilm formation. Bacteria can communicate with each other through production and response to local concentration of small molecules called autoinducers.This mechanism is called quorum sensing (QS).It has been suggested that QS can influence the resistance of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Mathematical and computational techniques for advection diffusion reaction models
Mathematical models of advection diffusion reaction processes are fundamental to many applied disciplines including physics, biology, ecology and medicine. This project will focus on developing mathematical and computational techniques for continuum (PDE) and/or stochastic (random walk) models of advection diffusion reaction.Potential project topics include:building new simplified models that are easier to implement, interpret and analyseextracting new mathematical insights into advection diffusion reaction processesproposing new methods for parameterising models from datadeveloping new numerical and/or analytical methods for solving PDE models.All project …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
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
Mathematical tools for stochastic and continuum transport models
Mathematical models of particle transport are fundamental to many applied disciplines including physics, biology, ecology and medicine. Particle transport is typically modelled using either a stochastic model, where probability rules govern the motion of individual particles, or a continuum model, where partial differential equations govern the concentration of particles in space and time. This project aims to use analytical and numerical techniques from applied and computational mathematics to address one or both of the following questions:what is the average time …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Exploring how entrepreneurs use social media to influence users' emotions and achieve virality
Social media has become an integral part of our lives – we click, like and share posts with our personal and professional networks each day. The concept of sharing is activated by psychological stimulation, be it emotional or physical (Tellis et al., 2019). But why are certain types of online content more viral than others?Achieving ‘virality’ is not random and isn’t just about creating engaging content. Instead there are mechanics that are planned to achieve this type of ‘social currency’. …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
- Research centre(s)
-
Australian Centre for Entrepreneurship Research
Not included: Taxes, Fees and Surcharges - Consumer reactions to partitioned prices in online retail
Not included: Taxes, Fees and Surcharges - Consumer reactions to partitioned prices in online retailPartitioned pricing, which refers to the practice of diving prices into a base price and surcharges such as taxes, shipping or handling fees is increasingly popular (Greenleaf et al., 2016; Choi et al., 2019). Yet at the same time it is a practice that divides practitioners, where some online retailers partition their prices while others opt not to. Scientific insights on this issue are in its …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
Regulatory mode and the endowment effect
Consumers often demand a higher price for items they own, than what they would be willing to pay to buy the same item (Kahneman et al., 1990). This effect is commonly known as the endowment effect. While the endowment effect is well established (e.g. Bar-Hillel & Neter, 1996; Chan, 2015; Horowitz & Mcconnell, 2002), and some studies have attempted to explain it by considering the effects of psychological ownership (Kirk et al., 2015), there are still questions about when, for …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
Consumer reactions to voice-based AI
Artificial intelligence increasingly allows marketers to manipulate video and audio materials in a manner that has been restricted to still pictures in the past. Yet little is known about how consumers engage with and react to marketing content that consumers know has been manipulated in this fashion. For instance, for whom, when and why do interactions with voice-based AI (e.g. Google Duplex, Healed through A.I.) reduce purchase intentions. Building on research from interpersonal interactions (Lechner & Mathmann, 2020) and motivational …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
My flow: Menstrual cycle Femtech for elite athlete performance optimisation through wearable technology
There is a need for additional studies to monitor on-field performance parameters in female elite athletes (Meignié 2021). We know that wearable sensors can be used to monitor the physiological and biochemical profile of athletes (Seshadri 2019), and a combination of several wearables is going to be more effective for accessing all relevant parameters (Düking 2016). However, there is limited research on the effects of menstrual cycle phases on elite athlete performance (Meignié 2021).This proposed research aims to bridge the …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.