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 72 matching student topics

Displaying 49–60 of 72 results

Tracking small bones for robotic surgery

Robotic knee surgery can perform femoral and tibial resection. Currently it is not possible to use robotic technology for patella preparation; to do so will require miniaturisation of tracking, effective clamping of the patella and controlled use of a saw. This project will aim to develop the technology for any small bone resection with a robot, taking the patella as a test case.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Dexterous tools with variable stiffness for minimally invasive surgery

Robotics has a positive impact on surgical procedures. This is particularly the case with minimally invasive surgeries. In these procedures, there is a need for compact tools that can be inserted through a tiny opening but are versatile in function. This project will look at the design of dexterous alternatives to traditional surgical tools within this context. Methods to vary the workspace and stiffness of the tool will be investigated by combining inspiration from the design of miniature biological joints …

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

The role of complex singularities in geometric flows

A popular topic in differential geometry involves studying the singularity structure of geometric flows. The most well-known example is mean curvature flow. In this example, surfaces evolve according to a flow rule that relates the speed of the surface to its curvature. Certain surfaces will evolve until singularities occur in finite time, and these singularities can be studied using similarity solutions and asymptotic analysis.In this project, a different perspective is applied to these problems, namely the use of complex variable …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Digital publics

Digital and social media platforms provide new opportunities for public communication, and the formation of distinct publics and communities around shared interests and identities. Such publics may engage in political debate, popular media fandom, science communication, vernacular creativity, and other activities; but they may also be affected by, or actively engage in promoting, mis- and disinformation and other problematic content. Their activities are also shaped by the features and affordances of the platforms they use, from Facebook and Twitter to …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Weakly nonlinear water waves in the complex plane

Weakly nonlinear waves are described by dispersive pdes, such as the famous Korteweg–De Vries (KdV) equation. These models have applications to a variety of phenomena in physics, including the propagation of water waves, but they are also interesting from a mathematical perspective because they can have special properties.While the KdV equation and its variants are well-studied in the literature, a new approach is to attempt to learn about wave propagation by investigating solution behaviour in complex plane. For example, there …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Identifying individuals at high risk of Alzheimer’s disease

Dementia is the greatest cause of disability in Australians over the age of 65 years. In the absence of a significant medical breakthrough, more than $6.4 million Australians will be diagnosed with dementia in the next 40 years. The most common form of dementia is Alzheimer’s disease (AD), accounting for 60-80% of cases. The pathogenic process of AD begins decades prior to the clinical onset, so it is likely that treatments need to begin early in the disease process to …

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

Designing smart visual technologies with people with intellectual disability

This research is part of a Future Fellowship project funded by the Australian Research Council. You will join a team of researchers and research students in the school of computer science, with expertise in the disciplines of human computer interactions and data science.In broad terms, the project is seeking to understand how the meaning of images can be computed and used in the design of intelligent interfaces which can be used by and support people with intellectual disability.The visual interactions …

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

5G and IoT smart ontology learning

This project aims to investigate privacy preservation protocols in a 5G integrated IoT environment through an analysis of the depth of smart-device use in common smart domains. 5G’s addition to IoT-based smart devices will be effectively deployed and utilised by a large majority of individual and organisation-based users. The knowledge-based ontology and tools developed in the project will help form the new privacy preservation mechanisms that are required for the 5G enabled environment.The development of an ontology for 5G enabled …

Study level
PhD, Honours
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Characterising a DNA repair protein as an anti-cancer therapeutic target and diagnostic marker in brain cancer

Cancer is the single biggest clinical problem facing the world and will account for half of all global deaths by 2030. Even though there have been significant advances in immunotherapy, we are still unable to cure most cancers. New therapeutic targets, individualised to patient needs, must be identified and validated in order to improve cancer outcomes.Brain cancer causes more deaths in people under the age of 40 than any other cancer and more deaths in children than any other disease. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

Engineering bioartificial extracellular tumour microenvironments for Osteosarcoma personalised precision oncology

Osteosarcoma (OS) is the most common malignant bone tumour affecting children and adolescents. Importantly, clinical outcomes have not improved for decades, and bone tumours remain to be a leading cause of cancer-related death in adolescents.By identifying ideal treatment approaches for each individual patient, precision oncology has the potential to significantly improve these outcomes. Yet, its widespread application is hindered by a lack of biomaterials that support the reproducible and robust generation of patient-derived osteosarcoma organoids in vitro.Therefore, this project will …

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

Every side job starts with an idea: Exploring motivations for the ‘side hustle’

Almost 1 million Australians have lost their jobs and countless micro and small businesses have folded as a consequence of the COVID-19 pandemic. At the same time the pandemic has propelled innovation and new venture creation and given rise the ‘side hustle’, taking on an extra job for money. Side-hustles, supplemental income-generating work performed alongside full-time jobs, are increasingly common (Sessions, Nahrgang, Vaulont, Williams & Bartels, 2021).Technology has in part empowered and enabled people to market their skills and products …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Drone and satellite Artificial Intelligence

Satellite and drone/UAV data has a great potential to provide large-scale analytics for many domain applications. However, the wide range of data of diverse nature (e.g., optical vs. SAR, high-resolution vs. wide-coverage, mono- vs. hyper-spectral, 2-D vs. 3-D) also poses significant challenges for analytics.Deep learning holds great promise to deal with these tasks. While the number of research in this area is increasing, there still exists challenges such as co-learning of multimodal data, limited data annotation, and uncertainty in the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

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