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 175 matching student topics
Displaying 61–72 of 175 results
Corporate Law, Innovation and Entrepreneurship
Dr Anne Matthew is interested in talking to students wishing to undertake research in the areas of corporate law and innovation. This research will focus on the flexibility and agility of corporate law to respond to change in the business environment, and its capacity to support innovation and entrepreneurship. Projects may include a focus on the constraints of the corporate form, access to finance, and/or abuse of limited liability. Projects are likely to involve a comparative approach. This topic is …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
Digitising Legislation
Dr Anna Huggins is looking for PhD/MPhil candidates interested in the emerging computational law project of translating legislation into digital forms. This could involve top down conceptualisation of the translation of legislative provisions or projects examining in detail the digitisation of specific legislation. Candidates with a background in data science, public administration and/or law are encouraged to apply. This topic is led by the QUT School of Law within the Digital Social Contract and Datafication and Automation of Human Life …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
Adaptive evolution of anaerobic methanotrophic (ANME) archaea mediating methane oxidation in freshwater environments (PhD)
The as-yet-uncultured archaeal lineage Methanoperedenaceae are anaerobic methanotrophs with a key role in mitigating the atmospheric release of methane in freshwater environments. 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.The overall aim of this PhD project will be to uncover the metabolic diversity of the Methanoperedenaceae and to understand the evolutionary mechanisms responsible for these adaptations.Methods and ResourcesThe project will …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
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Centre for Microbiome Research
High-performance scoring of CRISPR targets
The CRISPR-Cas9 technology allows the modification of virtually any gene in any organism of interest. It's generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the "guide RNAs" that will control where modifications occur. It's vital that the modification is made at the desired location and not elsewhere.We developed a method utilising high-performance computing to efficiently assess the "off-target risk" of each guide RNA …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Digital business models
The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings.This is not only relevant for new (‘born-on-the-web’) companies, but also for traditional companies who run the risk of having their core business disrupted. While some struggle with the new business models (e.g. Kodak), others turn it into …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
2D heterostructures for future electronics
The traditional approach to the miniaturisation of electronic devices is coming to a halt. Experts agree that the Moore’s law prediction of doubling the number of transistors per chip every two years will cease to be fulfilled in 2020, as the heat produced in small structures cannot be cooled down quickly enough.However, by reducing the size of the device, the quantum nature of atoms and solids can be turned into an asset. By exploiting the phenomena occurring at these scales, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Centre for Clean Energy Technologies and Practices
An airway chip for screening viral infection mediated immune responses
Respiratory infections such as influenza, SARS-COV-2, COVID-19, and MERS are increasingly prevalent. Complications and related deaths arising from these infections are often the result of a “cytokine storm”, whereby there is an over production of proinflammatory soluble factors by immune cells, which dictates symptoms severity and mortality risk. Recent works showed that immunomodulatory therapy, with or without antiviral agents, may improve recovery outcome. However, the screening of suitable immune-modulatory and antiviral agents relies heavily on animal models which can't capture …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Measuring higher education performance: a global comparisons using network data envelopment analysis
The research objective focuses on comparing the top 100 universities (according to the Times Higher Education) from 2010 to 2020. The objective of the project is fourfold. First, to derive appropriate research outputs per university. Second, employ a Network DEA approach to identify (in)efficiencies within the network. Third, to measure productivity change of universities using the Fare-Primont index. Fourth, to determine sources of (in)efficiencies and productivity.This project is both theoretical and applied. The applicant should possess strong mathematical and computational …
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
Molecular simulation of rotational diffusion in ideal liquids
Rotational tumbling of molecules in a liquid is an important phenomenon in Magnetic Resonance Imaging (MRI) because it determines the spin-relaxation rates of the resident nuclei which can determine MRI contrast.For a relatively simple molecular process, the theoretical description of rotational motion of molecules in liquids remains controversial. The most commonly used model, the Debye model, assumes that:the rotational diffusion propagator of a tumbling molecule is a solution of the diffusion equation on a spherical surfacethis solution is described by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Haptics controllers for natural interactions in VR
Virtual reality (VR) technologies have become cheaper and more accessible in the last couple of years. This allowed for exploring their use in different areas including gaming, health, education and training settings.While VR can provide high immersion via augmenting our senses in the virtual environment, user interaction with the virtual environment has been limited relying on pre-set gestures or default controllers designed by the companies who built the VR gears.The Vive Tracker is an accessory for HTC Vive which allows …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer 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
The insufficient informativeness of measurements in Bayesian detection problems
Shiryaev's Bayesian Quickest Change Detection (QCD) problem is to detect a change in the statistical problems of an observed process. This is an important signal processing problem with application in a diverse range of areas, including:automatic controlquality controlstatisticstarget detection.Recently a critical deficiency in Shiryaev's QCD problem has been identified to occur due to the insufficient informativeness of measurement in low signal-to-noise (SNR) to overcome geometric prior assumption on the change event.These deficiencies are due to the non-ergodic nature of the …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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