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 336 matching student topics
Displaying 325–336 of 336 results
Using a natural β-carboline dimer compound to target metabolic vulnerabilities linked to glycolysis in prostate cancer
Prostate cancer is an androgen dependent cancer and treatments are aimed at preventing activation of the androgen receptor. Part of the development of resistance to therapies involves prostate cancers reprogramming their metabolism to overcome metabolic stress induced by these therapies and support growth and survival. This reprogramming involves increases in the rate of glycolysis and intermediate pathways branching from glycolysis. Previously in our laboratory, the natural compound, beta-carboline dimer, BD, was identified to have potent effects on cell viability, cell …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
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
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Philanthropy and accountability in Australia
Philanthropy (defined here as structured giving through organisations such as foundations) is growing strongly and expected to benefit significantly from the intergenerational transfer of wealth in the coming decades. The accountability of philanthropy is a vital discussion, as criticism grows internationally of the lack of transparency, particularly for wealthy philanthropists who use their retained influence over donated and taxpayer-subsided funds to pursue their individual interests and influence public policy. There are current calls for a national blueprint or strategy for …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
- Research centre(s)
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Australian Centre for Philanthropy and Nonprofit Studies
Understanding the immunological mechanisms that regulate increased susceptibility to respiratory syncytial viral infection after stem cell transplantation
Allogeneic stem cell transplantation (alloSCT) is considered the gold standard procedure for the treatment of blood cancers. Globally, over 9000 patients per year undergo this high-risk, life-saving therapy. However, major complications limit the therapeutic potential of this treatment which include graft-versus-host disease (GVHD) and infections due to the severe immunosuppression in these patients. Respiratory syncytial viral (RSV) infection is frequent in these patients, is often fatal and clearly a significant clinical problem. Thus, there is a pressing need for new …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Corporate social and environmental performance information and related accountability practices
Due to stakeholder attention, companies are increasingly disclosing social and environmental performance information within their annual and corporate social responsibility (CSR) reports.OutcomesThis study will investigate whether these disclosures reflect real performance, and thereby create accountability practices by corporations. Both Australian and international companies are the focus of this project.The project considers both qualitative and quantitative methods.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Surprising genomes
Genomic sequencing has changed radically since the first public sequencing projects more than 25 years ago. The original human genome project cost more than two billion dollars; sequencing a human genome now costs as little as a thousand, and we may sequence whole viruses and bacteria as a matter of routine.The challenge now lies in rapidly analysing these genomes as they appear, and understanding quickly whether there is anything interesting in the new sequence to warrant further inquiry. This project …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Mathematical modelling of cell-to-cell communication via extracellular vesicles (EVs)
Extracellular vesicles (EVs) are membrane bound packages of information constantly being released by all living cells, including bacteria. There are many types and sizes of EVs. Each EV type contains its own distinctive cargo consisting of characteristic DNA, RNA, and proteins. We are just beginning to understand the many roles of EVs to maintain the health of the cell producing the EVs, and to communicate with other cell types that take up the EVs produced by neighbouring cells. Since EVs …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Representation learning for anti-microbial resistance
This project is about using neural network models help us understand Anti-Microbial Resistance (AMR), a phenomenon in which bacteria adapt to reduce the effectiveness of antibiotics, usually through a process known as Lateral or Horizontal Gene Transfer - where genes are included in the organism from other sources.Our focus will be on learning compact vector representations of biological sequences known to be associated with AMR genes. By encoding DNA sequences in this way we can more rapidly identify AMR genes …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Productive reproducible workflows for deep learning-enabled large-scale industry systems
Deep learning is a mainstream to increase the capability of industry systems, particularly for those with massive data input and output. It is seen that many tools are now claimed to be freely available and could facilitate such process of development and deployment significantly with scalability and quality.However, limited attention has been on developing reproducible and productive workflows to identify the tools and their values towards large-scale industry systems. In this project, we will explore how to design such a …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Systematic evaluation towards the analysis of open-source supply chain on ML4SE tasks
Applying machine learning algorithms to source code related SE task is rapidly developing and attracts the attention from both researchers and industry engineers. While there are many program languages available, applying such techniques, i.e., the representation learning models, for different languages may achieve different performance. Particularly, they all have their own strict syntax, which determines the abstract syntax tree. Thus, a lot of different open-source supply chain are available, for example the parsing tools are used to build AST from …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Information retrieval and coding methods for large scale bioinformatics
Advances in sequencing technologies over the past two decades have led to an explosion in the availability of genomic sequence data and an increasingly urgent need for scalable clustering and search facilities. One approach is to encode sequences as binary vectors in a high-dimensional space, simplifying the comparison and allowing it to be computed very rapidly using bit-level operations.Coupled with these ideas is the need to provide clustering methods and efficient indexing and lookup in response to search queries. One …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Tailoring 2D materials via interface engineering
2D materials are crystalline materials with only a single layer thickness. The best known 2D materials is graphene, but it also encompasses a large family of materials , such as transition metal dichalcogenides (TMDCs).2D materials are set for breakthroughs in fundamental research and transformative technologies. They have few surface dangling bonds and unique atomic-level uniformity which make them very appealing for developing optical, electronic and energy applications.These materials also bring a new degree of freedom to combine highly distinct materials, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
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