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 446 matching student topics

Displaying 97–108 of 446 results

Time-series analysis of 2D diffraction patterns for Synchrotron rock physics

The interaction between deformation, fluid flow, chemical reactions, and heat flow in rocks constitutes a research frontier in the Earth Sciences. In addition to fundamental academic interest in this subject, there are many applied industrial problems, which require a sound understanding of this coupling. Examples include: the long-term sequestration of carbon dioxide in rocks, the energy-efficient processing of future-mineral resources, the design of unconventional geothermal-energy operations, and the prediction of earthquakes and volcanic eruptions.The advisory team pioneered new methods for …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences
Research centre(s)
Centre for Data Science

Investigating factors impacting urban heat vulnerability in subtropical cities

In recent years, with the rise in climate change impact, urban heat has become a major issue for many cities to tackle consequently. Extreme heat events are becoming more frequent and intense due to climate change, which has directly caused a substantial increase in heat-related morbidity and mortality. This indispensably puts an extra burden on medical systems and national finance. Meanwhile, the urban heat island effect has been exaggerating the consequences caused by the increased extreme heat in metropolitan areas. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Virus Search Algorithms

Meta-heuristics are powerful search algorithms for solving intractable optimization problems. There are many population based approaches, like genetic algorithms, evolutionary algorithms, particle swarm, etc. but most of these have a static population size.Viruses arise and attack populations periodically. They typically appear when populations become abundant. Viruses infect population members, and often reduce the number of individuals. Viruses create spaces for more individuals and balance competition.The concept of viruses may be mimicked and could be a useful optimization paradigm.

Study level
Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Network Flow Improvement

Network flow is impeded by the arcs present in the network and their associated length/weighting. Arcs can be added or removed to debottleneck the network. But which ones? At what cost?

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

The pulse of sustainability: Interventions to sustainably increase legume production and consumption

Legume-supported value chains, from production to consumption, provide benefits to people and nature that include improved ecosystem functions and resource use efficiency, as well as farmed animal and human health provisions. Environmental co-benefits of legumes include reduced nitrate leaching, increased food sources for pollinators, a greater structural diversity of farmland, and improved soil fertility. Despite the potential of legumes to improve the sustainability of cropping systems and enhance human health, the production and consumption of legumes in Australia is low.Multiple …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Visualisation and sonification for genomic data sets

Successive revolutions in sequencing technology over the past two decades have led to an explosion in the availability of genomic data. Analysing biological datasets and identifying relationships within them is challenging - some of the process can be automated but interactive exploration offers a number of advantages, and supports serendipitous discovery.This project looks at visual analytics and sonification - the use of sound and musical encodings - to enhance our understanding of biological networks.

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

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

Identifying disease distress in patients with chronic venous leg ulcers

Venous leg ulcers (VLUs) make up 70% of all chronic leg ulcers. Unfortunately, around 30% of VLUs fail to heal in a 24-week period often despite evidence-based practice. Chronic VLUs impose a significant burden on people with these ulcers. Disease related distress has been explored in diabetes and inflammatory bowel disease but has not been explored in chronic wounds.Research has completed phase one of this study (secondary analysis of existing data), phase two (focus group to explore the findings), phase …

Study level
Master of Philosophy
Faculty
Faculty of Health
School
School of Nursing

Reversing Epithelial Mesenchymal Plasticity with Eribulin to Enhance Therapy Response

Epithelial mesenchymal plasticity (EMP) is a highly regulated and powerful cellular process that is fundamental in embryonic development (1), which is hijacked by cancer cells for metastatic progression and therapy resistance in epithelial cancers (2). Eribulin is a microtubule-inhibiting cancer drug discovered in sea sponges and approved for 3rd line therapy in metastatic breast cancer, which was shown to reverse epithelial mesenchymal transition (EMT) (3).We hypothesise that eribulin’s reversal of EMT will sensitise breast cancer cells to other therapies and …

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

Genome to phenome: exploiting multi-omics and deep learning strategies to decipher importance of isoforms in health and behaviour

The molecular process that leads to multiple mRNA transcripts being produced from the same segment of DNA (aka gene) is known as alternative splicing (AS). This is a common form of regulation in higher eukaryotes, enabling the production of novel protein isoforms, which in turn are known to have a big impact on phenotype. Understanding the regulatory factors involved in AS, including epigenetic mechanisms such as DNA methylation, will offer key insights into important biological phenomena (health disease, behaviour, production). …

Study level
PhD
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Preventing arterial catheter-related harm in intensive care

Each year more than 200,000 patients (adults and children) are admitted to intensive care units (ICU) in Australia and New Zealand for treatment of serious and life-threatening injury or illness, or recovery from major surgery. The vast majority (~90%) of ICU patients will require an arterial catheter during their admission to optimise vital treatment and monitoring. Arterial catheters are small hollow plastic tubes inserted into peripheral arteries to facilitate continuous haemodynamic monitoring (e.g. blood-pressure) and frequent blood sampling. Hence, effective …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Nursing
Research centre(s)
Centre for Healthcare Transformation

Prescriptive process analytics

With growing significance of data there is a need to harness the potential of that data for improved business operations. Historical data is often to provide a descriptive overview of how business processes have performed in the past. However, there is a need to be proactive and take appropriate actions to ensure that business processes perform in an optimal manner. Prescriptive analytics is a process that analyzes data and provides instant recommendations on how to optimize business practices. Prescriptive analytics …

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

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