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 210 matching student topics

Displaying 121–132 of 210 results

Local drug delivery to prevent osteosarcoma recurrence and metastasis

Osteosarcoma (OS) is the most common primary bone cancer in children and adolescents. Despite aggressive treatment involving multi-agent chemotherapy and wide surgical resection, survival outcomes remain poor, with five year survival as low as 13% for patients with metastatic or recurrent disease. Current treatment relies heavily on systemic chemotherapy, which is associated with significant toxicity and long-term side effects, including cardiotoxicity, nephrotoxicity, and impaired growth and fertility. Local recurrence occurs in up to 30% of patients after surgical resection, often …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Biomedical Technologies

Exploring the accessibility needs of visually impaired peer workers in digital employment support platforms

This project will explore how blind and visually impaired (VI) peer workers use digital platforms in their day to day practice, with the aim of identifying or co-designing a platform that is accessible, JAWS compatible and aligned with the requirements of industry partner Chapter1’s peer-led employment services.

Study level
Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Fine-grained software vulnerability detection using deep learning techniques

Software vulnerability is a major threat to the security of software systems. Thus, the successful prediction of security vulnerability is one of the most effective attack mitigation solutions. Existing approaches for software vulnerability detection (SVD) can be classified into static and dynamic methods. Powered by AI capabilities, especially with the advancement of machine learning techniques, current software has been produced with more sophisticated methodologies and components. This has made the automatic vulnerability proneness prediction even more challenging. Recent research efforts …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Facilitating gaining trust in IOT systems

Many organisations have shown an increasing interest in deploying IOT systems. However, most of them and their stakeholders are new to these systems, and it is difficult for them to trust the technology. What are the technological, managerial and societal aspects that contribute to trust in IOT systems? What can we do to improve the level of trust and increase adoption of the technology?

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Dissecting the molecular and cellular basis of melanoma susceptibility

Several factors strongly influence an individual’s chance of developing melanoma. Paramount amongst these are the number of moles (nevi) present on the skin, cumulative levels of UV exposure and skin pigmentation phenotype. Numerous Genome Wide Association Studies (GWAS) we have identified gene variants at a number of loci that are strongly associated with cutaneous nevi (mole) counts, UV damage response and accordingly susceptibility of individuals to develop melanoma. Currently the functional impact of genetic variants in the genes IRF4, PLA2G6 …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Advanced numerical modelling to study fluid flow and heat transfer of ground-mounted photovoltaic panels for the power generation industry

The increase in global energy demand necessitates further advancement in photovoltaic (PV) systems. Advancements in PVs could potentially play a role to help meet the Paris Agreement of limiting global temperature increase to below 2°C.The performance of ground-mounted PV panels commonly found in solar farms depends on a myriad of factors such as tilt angle, microclimate i.e. wind loads, shading, solar irradiance, and dust deposition. This project aims to develop an advanced numerical model, namely computational fluid dynamics (CFD), backed …

Study level
PhD, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Journey mapping student experiences in engineering education

This research topic explores the use of journey mapping as a research and design methodology to better understand, analyse and improve student experiences in engineering education. The project investigates how students navigate key stages and touchpoints across the academic lifecycle including transition into university, curriculum progression, assessment, engagement, wellbeing and career development. By systematically mapping these journeys, the research aims to reveal patterns, barriers, and opportunities that shape student engagement, experience and success.Situated at the intersection of engineering education research, …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

Adaptive and efficient robot positioning

I am looking for highly motivated and talented PhD students to work with us on robot localisation and navigation. The students would join my DECRA Fellowship project "Adaptive and Efficient Robot Positioning Through Model and Task Fusion" funded by the Australian Research Council, which provides substantial top-up scholarships in addition to QUT's tax-free base stipend.Robot positioningWhere are you? This is a fundamental question to which most of us usually know the answer. And so do the birds singing in our …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Coarse-grained molecular dynamics modelling in expansive soil

Expansive soil/active soil has wide applications in geotechnical engineering and other engineering disciplines due to its desirable special properties - for example, low permeability and swelling pressure under saturated condition. But these materials are highly susceptible to experiencing huge volume change and even damage due to moisture content reduction. However, the underlying mechanism of this phenomenon is still not clear for geotechnical engineers. Therefore, there is no optimum solution available to solve the problem.In this project, a special modelling approach …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science

Why do epithelial cells have antigen processing machinery?

Epithelial Cells (ECs) constitute the border between the host immune system and an environment teeming with inhaled antigens. Work from us and others has highlighted that ECs have the ability to express the antigen processing and presentation machinery, Major Histocompatibility Complex class II (MHC II) that is important in initiating immune responses. MHC II expression and function on mucosal epithelial cells, is not well understood.Whilst MHC II is expressed by ECs, and is altered with inflammation, there is a paucity …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Exploring chemotherapy-induced molecular aging and its relationship to exercise

Ovarian cancer is the sixth most common cause of death from cancer in women, with a five-year survival rate of less than 45 per cent. However, there is emerging research that shows the benefits of exercise therapy during recovery following certain cancer treatments, and how exercise can improve and extend the lives of women with ovarian cancer.This project is a collaboration exploring these health and survival outcomes in ovarian and other gynaecological cancers, and in particular how new diagnostic testing …

Study level
Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Comprehensive strain-level characterisation of microbial communities associated with inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic, relapsing inflammatory disorder driven by complex interactions between environmental, microbial and immune-mediated factors 1,2. An unfavourable shift in gut microbiome composition, known as dysbiosis, is now considered a key feature of IBD 2-5, however it is unclear how specific microorganisms and their interactions with host cells contribute to disease onset and progression.Previous IBD studies have been largely limited to older sequencing methods with low phylogenetic and functional resolution. Furthermore, these studies have predominantly …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

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