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 502 matching student topics
Displaying 205–216 of 502 results
International Environmental Law and Politics
Many environmental issues are globally significant problems and countries have to engage and interact with each other to resolve them despite having different domestic priorities. Current challenges around climate, land degradation, biodiversity loss, and plastics are just some of the issues that are influenced by international standards, agreements and institutions.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
Sentience and the law (plants and animals)
For centuries the law has operated under the assumption that plants and animals are inert and material objects without the ability to meaningfully determine their future or engage with other living or material things. Plants constantly communicate with each other through fungal (mycorrhizal) networks in the soil and have up to 20 senses as opposed to the five that human beings have. New ways of thinking about plants and animals raise important and deep possibilities for law reform. The supervisors …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
Investigating DNA repair mechanisms in aging adult stem cells
When we age the DNA repair systems of our cells become down regulated. This results in reduced DNA repair capacity, enhanced rates of mutation load and may lead to the development of chronic aging-associated diseases including osteoporosis, Alzheimer's and cancer(1). So it is no surprise that genome instability and stem cell exhaustion, which also strongly correlates with the accumulation of DNA damage, are considered hallmarks of aging(2).However, we still lack a clear understanding on how the decrease in DNA repair …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Understanding the role of the hSSB1 protein in the response to UV induced DNA damage
Melanoma is the 4th most common cancer in Australia. The link between skin cancer and UV exposure is now well established. If a DNA damage induced by UV exposure is left unrepaired, the mutation generated in the genome can lead to cell death or cancer. It is thus highly important to understand of how a cell can repair DNA damage. The main pathway to repair UV DNA damaged is the nucleotide excision repair pathway (NER) (Kamileri I. et al, Trends …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Spatial profiling of the tumour microenvironment
Lung cancers are the leading cause of cancer related deaths in Australia, with a 5-year survival of 15%. With the emerging success of immune checkpoint blockage leading to durable responses and prolonged survival in 15-40% of cases, there is now a need for predictive biomarkers to guide selection for immunotherapies.The immune contexture of the tumour microenvironment (TME) is an important factor in dictating how well a tumour may respond to immune checkpoint therapies (1). Spatial and immunological composition with cellular …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
MyFootCare - designing technology with people with diabetic foot ulcers
Every day in Australia:50,000 people are suffering with a diabetic foot ulcer (DFU)1,000 are in hospital because of a DFU12 will undergo an amputationfour people will die with a DFU.A key challenge to healing DFUs is effectively engaging people in their independent self-care away from the clinic. To date, self-care of people with DFU has been reported to be universally low. This project seeks to address the challenge of low adherence to self-care amongst patients with DFUs.The main innovation of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Growth and characterisation of epitaxial graphene for electronic and sensing applications
The extraordinary properties of graphene, a single sheet of carbon atoms (e.g. monodimensional structure, high conductivity, low-noise characteristics) are expected to be exploited in the next generation of electronic devices and gas sensors. These applications require a perfect control of the growth of graphene layers, and an optimum integration with the processes and materials used in the semiconductor industry.This project aims at studying the growth of graphene obtained by heating crystalline SiC at high temperature in Ar atrmosphere and ultra …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Investigating genetic variants involved in Wilson disease and copper metabolism using genome editing
Wilson disease (WD) is a genetic disorder of copper metabolism. It can present with hepatic and neurological symptoms, due to copper accumulation in the liver and brain (1). WD is caused by compound heterozygosity or homozygosity for mutations in the copper transporting P-type ATPase gene ATP7B. Over 700 ATP7B genetic variants have been associated with WD. Estimates for WD population prevalence vary with 1 in 30,000 generally quoted. Early diagnosis and treatment are important for successful management of the disease. …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
Automatic Generation of Software Vulnerability Datasets for Machine Learning
In recent years, machine learning has enjoyed profound success in a range of interesting applications such as natural language processing, computer vision and speech recognition. It has been possible mainly due to, in addition to better computing resources, the availability of large amounts of training datasets to these applications. However, in software security research, the lack of large datasets is an open problem that makes it challenging for machine learning to reason about security vulnerabilities found in real-world software. The …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Unified def-site and use-site security policies for component-based software systems
Securing the information manipulated by computer systems, such as privacy and integrity in social software, is a challenge. Traditional methods to impose limits on the information disclosure, such as access control lists, firewalls, and cryptography, provide no guarantees about information propagation. For instance, cryptography provides no guarantees about the confidentiality of the data are given once it is decrypted.Information flow control (IFC) is the problem of ensuring secure information flow according to specified policies within computer systems. Modern applications are …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer 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
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