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 642 matching student topics
Displaying 493–504 of 642 results
BIOM05 - Application of fluorescence microscopy for the visualization of methane-oxidizing microorganisms in the environment
The archaeal lineage Methanoperedenaceae are anaerobic methanotrophs with a key role in mitigating the atmospheric release of the potent greenhouse gas methane. The metabolic diversity of these microorganisms directly links methane with several key biochemical cycles and suggests a remarkable ability of these microorganisms to adapt to diverse environmental conditions.These microorganisms have never been grown in a laboratory and have only been studied in enrichment cultures with several other partner microorganisms. How these microorganisms grow and interact with these bacterial …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
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Centre for Microbiome Research
Promoting incidental physical activity and social interactions in public space
The World Health Organisation recently raised the alarm on the critical importance of physical activity and social interactions for mental and physical health, highlighting the need for active environments that support people to engage in healthy activities. In order to address the high-rates of physical inactivity and social isolation, we need additional research evidence to design high-quality public spaces that promote health and wellbeing for all ages. This study lies at the intersection of built environment, human behaviour, and health …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Machine Learning-based pedictive tool for energy storage
The fundamental idea behind the ML approach is to analyze and map the relationships between the physical,chemical, and energy storage properties of materials with their associated output data. This early understanding of the energy storage capabilities through the ML approach helps the material scientists to clearly understand, discover, and optimize the fabrication process to develop highly efficient energy storage systems. It also provides key steps in the device fabrication process omitting excessive experimental stages.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Anode-free Batteries
The lithium-metal battery (LMB) has been regarded as the most promising and viable future high-energy-density rechargeable battery technology due to the employment of the Li-metal anode. However, it suffers from poor energy density and safety, and improved battery design is sought. The anode-free full-cell architecture is constructed from a fully lithiated cathode with a bare anode Cu current collector. In such an anode-free lithium battery, both the gravimetric and volumetric energy densities can be extended to the maximum limit. Moreover, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Phosphate-based polyanionic cathode materials for (post) Li-ion batteries
Mixed polyanionic compounds have been studied extensively as viable cathode materials for sodium-ion batteries. Mixed phosphates Na4M3(PO4)2P2O7 (M = Mn2+, Fe2+, Co2+, Ni2+), provide a low barrier for Na-ion diffusion, being advantageous in comparison to phosphates and pyrophosphates. Despite being structurally similar, electrochemical performance differs for their analogues with different degrees of (de)sodiation, according to the transition element present. This project will develop series of mixed phosphates using novel rapid heating methods to achieve desired electrochemical properties.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
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
Statistics via scalable Monte Carlo
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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
The role of genetics in the development and mechanism of human traits
The Statistical and Genomic Epidemiology Laboratory (SGEL) studies the role of genetics in the development and mechanism of human traits, with particular emphasis on migraine, and the specific goal of identifying genetic risk factors and detecting common genetic links with other disorders, in particular depression, endometriosis, and epilepsy.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
Explainability of outlier detection methods
Outliers are anomalous observations in a data set that are "outside the norm" of what would be expected. Identifying outliers is an important part of exploratory data analysis and data analysis in general. It is often a challenging problem and calls for advanced methods and approaches, including machine learning-based tools. As methods become more and more complex, their explainability becomes more difficult and more important. This research project will look at all aspects of explainability and explore new approaches and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Facilitating Towards Sustainable Electric Vehicles Trading System
The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Human-machine interface (HMI) design to manage driver engagement in automated vehicles
We are seeking an enthusiastic and dedicated individual to join the Empathic Machines project as an HCI/HMI PhD Researcher. This interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and Seeing Machines, aims to explore the concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of human-machine interaction, interface design, and attention sharing to enhance safety and user experience in automated vehicles.A …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Psychology and Counselling
- Research centre(s)
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Centre for Future Mobility/CARRSQ
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