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 181 matching student topics

Displaying 121–132 of 181 results

How do healthy people sleep? Biomechanics, physiology, and environment - what matters most?

In the Westernized world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial and biomechanical determinants of restful sleep …

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

Predicting good sleep using computer science: Can we use machine learning to find out 'what's the best bed?'

In the Westernised world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial determinants of restful sleep in non-pathological, …

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

Understanding responsible deployment of computer vision for urban planning

Advances in artificial intelligence (AI) offer urban planning practice many novel prospects. By the responsive use of AI, planners can effectively analyse data, improve processes, increase efficiency, and prioritise human-centric aspects of planning to develop sustainable cities. Computer vision is one of the key areas where responsible AI is applied in urban planning to revolutionise the analysis and interpretation of visual data, like images and videos captured in cities to aid decision and plan making processes. While the potential impacts …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Improving cow fertility: targeting exosome-responsive pathways

Exosomes are small (40-120 nm), stable, lipid bilayer nanovesicles identified in biological fluids (e.g. in Until recently, genetic selection in dairy cows has focused primarily on milk production traits, with very few countries including functional traits such as fertility in selection indices. Poor reproductive efficiency in dairy herds results in fewer calves, reduced milk production, high involuntary culling rates and increased cow maintenance costs. The need for, and utility of, markers of early onset of diseases (or vulnerability to diseases) …

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

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Teacher Education and Leadership

New technology and the law

Computer vision has developed to a point where machines using artificial intelligence are better and faster than humans at performing many vision-related tasks. For example, we are now often processed through customs based solely on face recognition software. Add to this the fact that the average Australian is photographed on CCTV cameras around 75 times per day. Commercial applications of face recognition technology include Microsoft's Face Application Programming Interface that can be used to classify face images based on gender, …

Study level
PhD, Master of Philosophy
School
null
Research centre(s)
null
null

Capacity, wills and enduring powers of attorney

Dr Kelly Purser is interested in talking to students who wish to undertake research on the topics of capacity, wills, enduring powers of attorney, advance health directives, estate planning, equity and trusts, succession, or therapeutic jurisprudence.

Study level
PhD, Master of Philosophy
School
null
Research centre(s)
null
null

Profiling aerosol liquid water content over Australia

Aerosol liquid water content (ALWC) is a ubiquitous constituent in atmospheric aerosol particles. The degree of ALWC present in aerosol particles is influenced various factors, including relative humidity, temperature, particle mass, size distribution, and aerosol composition. Comprehensive analyses on ALWC have been conducted in the Northern Hemisphere, but similar work has rarely been done in the Southern Hemisphere due to the scarcity of aerosol particle measurements. In the atmosphere, ALWC scatters radiation and reduces visibility, significantly affecting air quality, weather, …

Study level
Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Implementation of the Global Minimum Tax by Australia-based MNEs

Global Minimum Tax (GMT) is an emerging framework in the international tax landscape, anticipated to play a vital role in curbing tax base erosion and profit shifting by multinational corporations. Australia's implementation of the GMT aligns with the OECD/G20 Two-Pillar Solution, specifically addressing the tax challenges of digital economy globalization. Starting January 2024, a 15% global minimum tax will apply to large multinational enterprises (MNEs), alongside a domestic minimum tax to safeguard Australia's tax base against profit shifting and erosion. …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Accountancy

Empowering communities with DataCare: ethical data practices for smart cities

Smart cities hold immense potential for progress, but their success hinges on citizen empowerment and ethical data practices. Our research initiative, DataCare, aims at reshaping the landscape of smart cities by prioritising citizens, communities, and small businesses. This project, developed in collaboration with Brisbane Residents United (BRU), focuses on transforming smart cities from profit-driven entities to community-led developments.BRU is a community association serving as a vital grassroots advocacy and peer support network for suburban and local resident groups across Greater …

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

Australian experiences of algorithmic culture on TikTok

Join a world-leading research team examining how recommender systems are shaping personalised and shared experiences of algorithmic culture in Australia. The project is focused on TikTok and engages with both professional TikTok creators and users using innovative computational and traditional research approaches.The empirical work is structured into three streams:In the Platform Stream we observe the type of content TikTok recommends on the least-personalised version of the platform, to create a close-to-generic baseline of the Australian experience of algorithmic culture on …

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

HoliCOW – A holobiont strategy to decipher core host-microbiota interactions in cows

To meet the goal of limiting global warming to 1.5C, methane emissions from ruminants such as beef and dairy cattle must be reduced by 11–30% by 2030 and by 24–47% by 2050 compared to 2010 levels. A newly funded Future Fellowship project is hiring 2 PhD students who will tackle this challenge by creating a thorough mechanistic understanding of the microbiological, biochemical and genetic processes that cause methanogenesis in the cow rumen. These activities will identify core beneficial microbiota that …

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

Centre for Microbiome Research

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