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 66 matching student topics

Displaying 25–36 of 66 results

Understanding and designing for digital self-care

The aim of this project is to better understand self-care practices with digital technologies amongst young adults and to explore opportunities for digital technology design.Self-care is a process of purposeful engagement in practices that promote holistic health and well-being of the self. Holistic health implies overall health and this encompasses more than just physical health but also includes mental, emotional and even spiritual health of a person. For some people, cooking can be a form of self-care to eat healthily …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Design, derivation, and implementation of mesh-free finite volume solvers based on 3D unit cell morphology to estimate biomass particle effective parameters

The aim of this PhD project is to use lignocellulosic morphological features extracted from high resolution micro-CT images of biomass particles undergoing a dilute acid pretreatment process to perform computational homogenisation over representative unit cell configurations. Mesh-free finite volume solvers will be developed based on 3D point cloud data sets to estimate virtual biomass particle effective parameters, such as diffusivity, thermal conductivity, and permeability. The simulation results will be analysed to provide a fundamental understanding of the impact that changes …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Exact and approximate solutions of diffusion on evolving domains

Classical applications of mathematical analysis involve solving partial differential equation models on fixed domains, e.g. 0 < x < L. Applications in biology, however, involve studying diffusive transport on rapidly evolving domains, e.g. 0 < x < L(t), where L(t) represents the length of the evolving tissue. While many problems have been addressed for the case where L(t) increases, less attention has been paid to cases where we consider diffusion on an oscillating domain.In this project we will construct exact …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Polymer particles as precision sensors for molecules

Polymer particles are a billion-dollar industry with a diverse range of applications from biomedical to industrial coatings. As a prime example, point-of-care testing devices rely on polymeric particles with various size and functionality to conveniently allow instantaneous, selective, and precise diagnostics. However, as new applications arise and current applications advance, these demand the preparation of increasingly complex material and particle systems.The Soft Matter Materials Team has developed a simple method to form uniform particles without any additives, initiators or stabilizers. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Probing the origins of life on Earth

The history of life on Earth is written in the fossil record. In this project, you will investigate stable isotope evidence for extremely early evolving organisms. Through careful petrography and with the use of isotope ratio mass-spectrometers, you will help unravel the history of microbial metabolisms that powered the ecosystems recorded by 3 billion-year-old microbial fossils.

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Searching for Life on Mars on Earth

NASA's newest Mars rover, Perseverance, has just arrived on the red planet. Tasked with searching for ancient life in the geological record of a ~4 billion-year-old crater lake, the mission science team must use our only available analogue - the Earth - as their guide to exploration.

Study level
PhD
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

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

Natural disaster (landslide, earthquake) mitigation using remote sensing, geophysics, and site monitoring

Extreme weather events can exacerbate slope and dam stability issues. Risk mitigation, stabilisation works, and engineered solutions to slope or dam failure require detailed site and subsurface characterisation – generally undertaken after a failure, but often resulting in unacceptable delays to remediation, impacting communities, transport, and water resources.This project will develop pre-emptive risk mitigation measures for at-risk sites, utilising remote sensing, geophysical, and monitoring approaches.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Empowering communities with DataCare: ethical data practices for smart cities

Smart cities hold immense potential for progress, but their success hinges on citizen empowerment and ethical data practices. Our research initiative, DataCare, aims at reshaping the landscape of smart cities by prioritising citizens, communities, and small businesses. This project, developed in collaboration with Brisbane Residents United (BRU), focuses on transforming smart cities from profit-driven entities to community-led developments.BRU is a community association serving as a vital grassroots advocacy and peer support network for suburban and local resident groups across Greater …

Study level
PhD, Master of Philosophy
School
School of Design
Research centre(s)
Digital Media Research Centre
Design Lab

How to reduce consumer reactance?

Have you experienced a negative feeling when a media platform constantly pushing advertisements to your screen or when a salesman chasing you around to introduce a product? That negative feeling will typically lead to reactance and push you away from these persuasive messages. This research is embedded in the theories of persuasion knowledge and psychological reactance. We will also look into consumer personalities and cognitions. We aim at exploring and testing solutions to reduce consumer reactance.Skills and experience:Research background in …

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Participatory Visualisation of Smart City Data

This PhD project will be affiliated with FrontierSI and Value Australia and contribute to its goals and objectives around smart cities, digital twins, and automated land valuations. Although consumers contribute much of the data upon which these smart city technologies operate, its systems often remain opaque black boxes closed off to public understanding, scrutiny and control. There are also serious concerns around privacy and loss of autonomy.This PhD project addresses these issues by exploring new methods for the participatory visualisation …

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

Design Lab

Designing smart cities for more-than-human futures

Cities are changing across the globe. Climate change, rapid urbanisation, pandemics, as well as innovations in technologies such as blockchain, AI and IoT are all impacting urban space. One response to such changes has been to make cities ecologically sustainable and 'smart'. The 'eco smart city', for instance, uses networked sensing, cloud and mobile computing to optimise, control, and regulate urban processes and resources. From real-time bus information, autonomous electric vehicles, smart parking, and smart street lighting, such initiatives are …

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

Design Lab

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