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 145–156 of 337 results

Praeclarus process-data quality framework

Praeclarus is an open-source software framework that aims to facilitate data pre-processing for process mining. Process mining is specialised data mining focusing on process-data. It is of high interest to industry, with the market doubling every two years (e.g., increasing from $550M in 2020 to $1B in 2022). This market increase has meant that big companies like Microsoft, SAP, and IBM are acquiring process mining vendors such is Minit, Signavio, and myInvenio.Recent process mining surveys show that more than 60% …

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

Understanding how self-image and compassionate goals affect well-being in a social media context

There is increasing concern about the negative impact of social media use on well-being. To understand its impact, we need to move beyond simple conceptualisations of social media use and utilise strong research methods to understand the role that psychological processes play in producing positive and negative impacts. There is preliminary evidence that interpersonal goals play an important role in predicting how people use and experience social media. Self-image goals involve trying to convey a desirable image of oneself to …

Study level
PhD
Faculty
Faculty of Health
School
School of Psychology and Counselling

Novel therapeutic strategies to treat advanced colorectal cancer

Colorectal cancer is a very common disease, with over 15,000 new cases diagnosed in Australia annually. Metastatic colorectal cancer describes advanced disease that has spread beyond the primary site. This is very aggressive and incurable in the vast majority of these patients. To improve outcomes for colorectal cancer, we are using cutting edge genomic and cell biology techniques to understand disease heterogeneity and optimise drug response. We are developing novel therapeutic interventions based on unique molecular signatures and are testing …

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

Understanding human behaviour during automated driving

We are seeking a highly motivated and talented Vision Science and Human Factors PhD Researcher to join an interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and industry partner Seeing Machines—world leader in human-machine interaction and an industry leader in artificial intelligence (AI), that enable machines to see, understand and assist the people who are using them.A PhD scholarship is available for this project.Learn more about the scholarshipOur program offers:World-class research environment: immerse yourself in a …

Study level
PhD
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)

Centre for Vision and Eye Research

Bridging the gap: leveraging AI to improve healthcare access

Access to quality healthcare remains a significant challenge in many parts of the world, often due to geographic and financial barriers. This research explores how artificial intelligence (AI) can address the challenges of geographic and financial barriers in accessing healthcare. The project will focus on developing AI-powered solutions that enhance healthcare delivery, increase patient engagement, and reduce costs

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

Implicit representations for place recognition and robot localisation

This project will develop a novel localization pipeline based on implicit map representations. Unlike traditional approaches that use explicit representations like point clouds or voxel grids, the map in our project is represented implicitly in the weights of neural networks such as Neural Radiance Fields (NeRF). You will get a chance to develop a new class of localization algorithms that work directly on the implicit representation, bypassing the costly rendering step from implicit to explicit representation. The designed algorithms will …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

The benefits of custom fit compression garments on markers of performance and recovery

Cape Bionics has its foundations in the aerospace industry in the design of compression suits worn by astronauts on the international space station. The research which underpinned the design of these space suits has now been applied to sport as a means of improving performance and recovery in elite athletes.For compression garments to be effective they must fit perfectly and apply specific pressure regimes. Cape Bionics use technology from the medical and aerospace industry to provide custom fit compression garments …

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

Designing micromobility for equitable and responsible use

Shared electric micromobility (e.g., e-bike, e-scooter) schemes are common in Australian cities, and all over the world. Despite their rapid growth in recent years, there are many challenges faced by operators and local jurisdictions. This includes Illegal and antisocial behaviours, inconveniences caused by vehicle placement, inequitable access, and narrow rider demographics (i.e., gendered activity with predominantly young male users).Electric micromobility is positioned as an important transport modality as urban populations expand and there is increasing strain placed on existing transport …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Changing the world with augmented creativity

We're seeking brilliant and highly motivated students to work on an Australian Research Council-funded project.Our goal is to transform augmented reality (AR) from a hyper-specialised tool for power users, into an enabler of creativity, socialisation, and new forms of community.We will reimagine augmented reality, from the current hyper-specialised tool for power users, into an enabler of creativity and imagination. We seek to engage with artists, designers, musicians, to explore new forms of creativity, art, and performance.

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

Augmented reality interfaces for autonomous vehicles

We're seeking brilliant and highly motivated students to work on an project seeking to improve the accessibility and usability of automated vehicles for disadvantaged users.Automated Vehicles are often touted as a solution to enable mobility for older users and people with disabilities, but these user groups are rarely included in their design. As a result, current developments are largely focused on the needs and skills of affluent, younger users, and ironically risk to further marginalise, instead of empowering, those who …

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

Advanced materials for perovskite solar cells

Solar cells using metal halides perovskite materials to absorb light is one of the most important scientific discoveries. These cells have the potential to provide cost-effective solar electricity in the future. In the last decades, perovskite solar cells (PSCs) demonstrated unprecedented progress towards this goal. This technology holds the world record for energy conversion efficiency and is comparable to commercial crystalline silicon, but at a much lower cost.Currently their instability and use of hazardous solvents and toxic lead are key …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Renewal and differentiation in human neural stem cells and their application to understanding neurological disorders

The effective regeneration of brain tissue requires an understanding of the factors mediating the damage as well as the integration of new/replacement cells to form new functional neural networks. The isolation and expansion of human stem cells and limited neural lineage differentiation have provided the foundation for strategies in the treatment of neurodegenerative disorders. We utilise iPSC-derived NPCs and patient-derived (Alzheimer’s disease; AD) iPSCs and neural lineage differentiation of hMSCs, iPSC NPCs and AD iPSCs in neuronal and glial culture …

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

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