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.

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Found 337 matching student topics

Displaying 325–336 of 337 results

Metal polymer batteries and supercapacitors for renewable energy storage

Australia boasts rich wind and solar energy resources. To avoid fluctuations placing severe burden on the power grids, a reliable and efficient battery storage is required.The present technology based on lithium-ion batteries suffers from high manufacturing costs, poor safety and short life-span. Metal-polymer batteries are expected to overcome the storage and the charging speed of the traditional batteries in the near future, opening new avenues for renewable energy resources …

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

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

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)

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

Unveiling the explainability imperative in medical AI

As AI systems become increasingly prevalent in medical applications, the need for explainable AI (XAI) has become crucial. This research investigates the critical issue of explainability in medical artificial intelligence (AI) systems. This project investigates methods for improving the interpretability and transparency of AI models used in medical diagnosis, treatment planning, and prognosis prediction. Understanding the reasoning behind AI-driven decisions is essential for building trust among healthcare professionals and ensuring patient safety.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Public Health and Social Work

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

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

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

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

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

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

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