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 507 matching student topics
Displaying 229–240 of 507 results
Assessing reef restoration using MARRS Reef Stars on the Great Barrier Reef
The Bait Reef rehabilitation project commenced in early 2021 (site surveys, risk assessments and approval processes) and installation on-site occurred in October 2021. Since installation there has been monitoring of the Reef Stars in June 2022, February 2023, and January 2024.Thermal bleaching impacts in early 2022 and rapid colonisation of the area by soft corals meant that by February 2022 more than 50% of the original coral fragments had died. Subsequently, in August 2023 all dead fragments (still attached to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
- Centre for Data Science
Climate change and trustees: powers, duties, responsibilities and liabilities
Trustees have a duty to act in the best interests of beneficiaries. In particular, it has been held that “(w)hen the purpose of the trust is to provide financial benefits for the beneficiaries, as is usually the case, the best interests of the beneficiaries are normally their best financial interests.” (Cowan v Scargill [1985] 1 Ch 270 at 286 per Megarry VC) This may require consideration of not only the economic well-being of the trust fund more generally, but also …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
Lab grown meat: uncovering consumer and industry perceptions and attitudes leading to developing marketing strategies for a new product category
This project will explore the current attitudes of Australian industry players, startups and consumers towards lab grown ‘real’ meats (ie chicken, beef etc - not vegetarian products). It aims to give projections regarding behaviour when a new product is launched and how to develop suitable marketing recommendations on how to launch, branding, costs, who would actually buy this new product, and creating demand for these products.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
X-ray backscatter diffraction and X-ray fluorescence for the rapid structural and chemical characterisation of rock samples
The advisory team devised a synchrotron-based microscopy method for coeval measurements of elemental concentrations and crystal-orientation data combining X-ray fluorescence microscopy (XFM) with X-ray backscatter diffraction mapping (XBDM).We seek students with a background in physics, crystallography, or mineralogy and coding skills to help with the improvement of the methods.XBDM/XFM has the potential to become a game changer in the microphysical and -chemical characterisation of crystalline solids, with future applications in the critical-minerals industry and material science.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Implementation of the Global Minimum Tax by Australia-based MNEs
Global Minimum Tax (GMT) is an emerging framework in the international tax landscape, anticipated to play a vital role in curbing tax base erosion and profit shifting by multinational corporations. Australia's implementation of the GMT aligns with the OECD/G20 Two-Pillar Solution, specifically addressing the tax challenges of digital economy globalization. Starting January 2024, a 15% global minimum tax will apply to large multinational enterprises (MNEs), alongside a domestic minimum tax to safeguard Australia's tax base against profit shifting and erosion. …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Physics-informed reinforcement learning for complex environments, using graph neural networks
Neglecting to incorporate physics information into world models for reinforcement learning leads to reduced adaptability to dynamic and complex environments and overall learning outcomes.In this project, we endeavour to develop and implement learnable models in reinforcement learning (RL) based on graph neural networks (GNNs). These models will integrate object and relation-centric representations to enable accurate predictions, strong generalization, and system identification in complex, dynamical systems. Additionally, we will focus on leveraging extensive world knowledge or physics information to refine representations …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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
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
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- Digital Media Research Centre
Design Lab
Immersive audio data visualisation for better engagement of residential communities exposed to aircraft noise pollution
This PhD project addresses the significant issue of misleading noise data in the context of residential communities exposed to aircraft noise pollution. Despite efforts by authorities to provide noise exposure forecasts and information based on the Australian Noise Exposure Forecast (ANEF) approach, many communities feel misled by the noise contours presented to them. Experiences from previous major development projects at Australian airports have shown a range of problems with relying solely on the ANEF as a noise information tool as …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Hospital readmission prediction with domain knowledge
The Australian Commission on Safety and Quality in Health Care has highlighted that reducing avoidable hospital readmissions supports better health outcomes, improves patient safety and leads to greater efficiency in the health system. Previous studies have reported that up to 11% of the emergency (ED) population are 'heavy users' with a higher prevalence of psychosocial problems and often co-existing chronic medical conditions. All Australian governments have committed to reforms under the National Health Reform Agreement Addendum,1 and the ability to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Interpretable software vulnerability detection using deep learning techniques
Software vulnerabilities have been considered as significant reliability threats to the general public, especially critical infrastructures. Many approaches have been proposed to detect vulnerabilities in source code to avoid any damages they pose when exploited. Conventional approaches include static analysis and dynamic analysis. Static analysis uses pre-defined patterns or vulnerability dataset to scan and examine software source code to identify potential vulnerable code snippets. These patterns are manually crafted or identified by software developers or security experts, which are time-consuming. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Studying the small proteins of the global microbiome
As part of an ARC Future Fellowship project awarded to Luis Pedro Coelho, we aim to study small proteins with the aim of better understanding them and laying the groundwork for exploiting them for biotechnological purposes. Small proteins (up to 100 amino acids, but often much shorter) have vital roles in all areas of life, but have been neglected in research due to lack of methods.Particular projects in this topic include developing methods for determining function based on genomic context, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
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