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.

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Found 88 matching student topics

Displaying 73–84 of 88 results

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

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

Conservation is a noisy business: modelling the effects of stochasticity on wildlife management decisions

To conserve species in disturbed natural environments, we need to use mathematical models to predict the consequences of different interventions. Unfortunately, these models are based on partial information of complex systems, and the systems themselves are subject to substantial observational and process noise.We often use ordinary differential equations to describe ecosystems, like the classic logistic growth model:dn/dt = r n (1 - n / k)However, these models are deterministic, and they assume we know the values of the key parameters …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Springbrook groundwater monitoring and modelling

In partnership with the City of Gold Coast, QUT has set up water monitoring networks in the Gold Coast Hinterland to improve assessment of water and ecological resources. You will have an opportunity to carry out research that leads to improved environmental management.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Human-in-the-loop techniques to debug machine learning models

Machine learning models are being deployed in critical domains such as healthcare, education and fintech. The current approach to deploying machine learning models is based on considering a data-centric approach where the models are evaluated using performance measures on a test set. However, the high performance of the model on test data is not indicative of its reliability,An important aspect of reliability is in the understanding of what exactly a machine learning model encodes, and to verify if it learns …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

NHMRC Idea Grant: intergenerational living and learning models

This research project acts upon recommendations from the Inquiry into the Quality of Care and Residential Aged Care in Australia IQCRAC (2018) by developing an inter-generational model for senior living within school campuses in consultation with industry partners. The project differs from existing programs by establishing an economic policy-driven 'shared campus facilities and services' approach which is person-centred, health focused and socially inclusive. The model intends to be translatable across diverse Australian contexts, from urban realms where land is limited, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Equation learning for partial differential equation models of stochastic random walk models

Random walk models are often used to represent the motion of biological cells. These models are convenient because they allow us to capture randomness and variability. However, these approaches can be computationally demanding for large populations.One way to overcome the computational limitation of using random walk models is to take a continuum limit description, which can efficiently provide insight into the underlying transport phenomena.While many continuum limit descriptions for homogeneous random walk models are available, continuum limit descriptions for heterogeneous …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Emergence of curvature-dependent growth in mathematical models of tissue invasion

The growth of biological tissues in 3D-printed scaffold pores occurs under strong geometric controls depending on the shape and size of the pores. How this control emerges from the interaction between spatial constraints and biological processes such as cell migration and cell proliferation remains largely unknown. Existing phenomenological models of tissue growth hypothesise growth laws which directly involve curvature without considering cellular mechanisms.Recently, a reaction–diffusion mathematical model of tissue growth in porous scaffolds was proposed to investigate cell-level behaviour using …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Biomedical Technologies

CGPH01 - Human neural stem cell models to understand neurogenesis and neurodegeneration

Neurodegenerative disorders such as Alzheimer’s Disease continue to impact the quality of life of a significant number of Australians, yet they remain untreatable. If we focus on how human neural stem cells behave normally and compare them to similar cells from Alzheimer’s patients, we will likely gain a better understanding of what has gone wrong and potentially how to stop it or fix it.

Study level
PhD, Honours
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

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

Supporting second hand clothing purchases

Clothing production and consumption systems are recognised as needing urgent change to reduce the world’s waste and carbon emissions. Each year, Australians purchase some 15kg of new clothing per person, with a similar amount discarded each year, and clothing and textiles have recently been identified by the Australian government as a waste priority area.One of the oft-repeated strategies for sustainable consumption is to purchase second-hand, with many services and systems rapidly emerging to support and commercialise this consumption practice. However, …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design

Exploring the value and potential of hyperlocal gift economies

The Australian federal government has committed to achieving net-zero carbon emissions by 2050 to address and reverse the effects of climate change and transition to a circular economy. Achieving net-zero will require a shift in how we use, share and dispose of products, and our relationship to our local communities and planet.In other words, this goal will require an extraordinary shift in the way we ordinarily live. As informal practices of circularity are already happening across Australian neighbourhoods, they have …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design

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