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 37 matching student topics

Displaying 1–12 of 37 results

Analysis of professional squash matches

This project concerns computer vision and statistical analysis of performance in professional level matches in the game of squash.The goal is to use computer vision and existing systems to capture and analyse patterns of play, allowing coaches and professional players to develop strategies to improve performance, to counter particular types of play and even to tailor game plans to attack individual opponents.

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

Australian experiences of algorithmic culture on TikTok

Join a world-leading research team examining how recommender systems are shaping personalised and shared experiences of algorithmic culture in Australia. The project is focused on TikTok and engages with both professional TikTok creators and users using innovative computational and traditional research approaches.The empirical work is structured into three streams:In the Platform Stream we observe the type of content TikTok recommends on the least-personalised version of the platform, to create a close-to-generic baseline of the Australian experience of algorithmic culture on …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Strengthening security for cloud computing applications

In today's digital landscape, applications are increasingly being deployed on cloud platforms, offering benefits such as streamlined management and cost-effectiveness. However, even with the efforts of cloud providers to deliver reliable services, the risk of runtime failures and faults still exists. This project aims to address this challenge by exploring innovative approaches to detect and mitigate errors that occur during the operation of cloud-based applications. By proactively identifying and resolving runtime issues, we can enhance the overall performance, reliability, and …

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

Data reasoning to extend domain knowledge in deep learning

A wide variety of companies now use personalized prediction models to improve customer satisfaction, for example, detecting cancer relapses, Detecting Attacks in Networks (e.g., SDN) or understanding Customer Online Shopping Behaviour. However, the dramatic increase in size and complexity of newly generated data from various sources is creating a number of challenges for domain experts to make personalized prediction.For example, early detection of cancer can drastically improve the chance and successful treatment. Recently, supervised deep learning has brought breakthroughs in …

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

Advancing monitoring of diverse grass pollen with computer vision

We're seeking a motivated student to join the multidisciplinary project that brings together computer vision and deep learning field with pollen aerobiology. This is a fully funded PhD program for a three-year period starting in 2024. It's part of the project funded by the Australian Research Council Discovery Program—Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. The successful candidate will be primarily based in the Allergy Research Group at QUT's Kelvin Grove campus.Grass pollen is the main outdoor allergen …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Robotics
Centre for Immunology and Infection Control

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

Image-based assessment of atherosclerotic plaque vulnerability: Towards a computational tool for early detection and prediction

Plaque characteristics and local haemodynamic/mechanical forces keep changing during plaque progression and rupture.Quantifying these changes and discovering the progression-stress correlation can improve our understanding of plaque progression/rupture. This will lead to a quantitative assessment tool for early detection of vulnerable plaques and prediction of possible ruptures.Our research project aims to combine medical imaging, computational modelling, phantom experiments and pathological analysis to investigate plaque progression and vulnerability to rupture in both animal models and patients with carotid stenosis.We will identify and …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Investigating community advocacy in response to aircraft noise pollution in Brisbane: an ethnographic study

The flight path design and community engagement practices associated with Brisbane Airport have long been criticised for prioritising profit over community wellbeing, leading to excessive aircraft noise pollution. These issues have now amounted to a federal Senate Inquiry and an investigation by the Commonwealth Ombudsman.This PhD research project aims to explore the dynamics between Brisbane Airport and the affected residential communities across more than 220 suburbs, drawing inspiration from a similar study conducted into the social engineering practices of Schiphol …

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

Determining the theapeutic efficiency of epigenetic drugs in ovarian cancer

Because cancer and many diseases arise from a combination of genetic propensity and the response of cells to external factors mediated through changes to the expression of key genes, it is important to understand epigenetic regulation. The epigenome is crucial to the changes of gene expression and there is now strong evidence that epigenetic alterations are key drivers of cancer progression. However, very few drugs targeting epigenetic modifiers have been successful, in part due to the lack of effective means …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Therapeutic opportunities targeting epigenetic-metabolism crosswalks in cancer

Epigenetic and metabolic pathways in cancer cells are highly interconnected. Epigenetic landscape in cancer cells is modified by oncogene-driven metabolic changes. Metabolites modulate the activities of epigenetic modifying enzymes to regulate the expression of specific genes. Conversely, epigenetic deregulation that occurs in cancer affect the expression of metabolic genes, thereby altering the metabolome. These changes all coordinately enhance cancer cell proliferation, metastasis and therapy resistance.The overall aim of the project is to understand the link between the activity of epigenetic …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Epigenetic regulation of non-coding RNAs in hypoxic tumours

In solid tumours, hypoxia occurs as a result of limitation on oxygen diffusion in avascular primary tumours or their metastases. Persistent hypoxia, significantly reduces the efficacy of radiation and chemotherapy and lead to poor outcomes. This is mainly due to increase in pro-survival genes that suppress apoptosis, enhance tumour angiogenesis, the epithelial-to-mesenchymal transition, invasiveness and metastasis. Much of tumour hypoxia research has been centred on examining the transcriptional targets of hypoxia inducible factors (HIFs).HypothesisEpigenetic changes mediate the effect of hypoxia …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Spatial profiling of the tumour microenvironment

Lung cancers are the leading cause of cancer related deaths in Australia, with a 5-year survival of 15%. With the emerging success of immune checkpoint blockage leading to durable responses and prolonged survival in 15-40% of cases, there is now a need for predictive biomarkers to guide selection for immunotherapies.The immune contexture of the tumour microenvironment (TME) is an important factor in dictating how well a tumour may respond to immune checkpoint therapies (1). Spatial and immunological composition with cellular …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences

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