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 37 matching student topics

Displaying 25–36 of 37 results

Investigating smart campus development trends in Australian universities

Smart campus is an emerging concept following the smart city research movement and is predominantly argued to be a miniature replica of the smart city providing an ideal prototype for university campus development. The smart campus concept has attracted much attention, predominantly due to the rise in artificial intelligence, internet-of-things, cloud computing and big data applications in advancing university campus operation efficiency. In recent years, Australian universities started to invest in smart campus technologies and development opportunities.ReferenceA brief background on …

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

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

Artificial intelligence (AI) to balance fluctuations of intermittent renewable energy sources

Artificial intelligence (AI) can play a significant role in analyzing and predicting energy consumption and production patterns from renewable sources such as solar and wind (Lyu & Liu 2021). This is particularly important due to the key challenge of intermittency, where major renewable sources for electricity, such as solar and wind, are subject to the inconsistencies of the weather (Watson et al., 2022).In this project, we investigate how AI and machine learning algorithms can optimize smart grids and other components …

Study level
PhD, Master of Philosophy, Honours
School
School of Information Systems
Research centre(s)
Centre for Data Science

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

Biological and clinical impact of the association of germline variations in KLK3 (PSA) gene in prostate cancer

Prostate cancer is the most frequently occurring cancer (after skin cancers) in Australian males, and the second most common cause of cancer death. While the 5-year survival rate for localised disease approaches 100%, extra-prostatic invasion results in a poorer prognosis. Kallikreins are serine proteases, which are part of an enzymatic cascade pathway activated in prostate cancer (Lawrence et al 2010). The most well-known member is prostate specific antigen (PSA) or the KLK3 protein, encoded by the Kallikrein 3 (KLK3) gene, …

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

BIOM04 - Unravelling the function of PSA variants in prostate cancer

OverviewProstate cancer (PCa) is the second-most common cancer in men. Prostate-specific antigen (PSA) encoded by the KLK3 gene is the only FDA-approved PCa biomarker for PCa. As a serine protease, PSA can also regulate multiple functions involved in PCa progression and metastasis and is summarised in our recent publications. Immunotherapies, including PSA-targeting therapies, have shown modest improvement in survival, for only a subset of metastatic PCa patients. Not much is known on the immunoregulatory role of PSA or its variants, …

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 Chimeric Antigen Receptor (CAR) T cell for the treatment of cancer

Chimeric Antigen Receptor (CAR) T cells are genetically modified immune cells that can recognise and kill cancer cells. They do so through the CAR, which recognises specific antigens expressed on cancer cells. CAR T cell therapy has emerged as an effective form of cancer immunotherapy in certain types of blood cancers and are now approved for use in patients. However, CAR T cell therapy can only benefit a very small proportion of cancer patients at present because it is very …

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

Risk management and financial systems integrity. Enhancing outcomes for indigenous not-for-profit organisations

This topic examines the NFP sector, in particular, indigenous organisations and the risk associated with incidents of fraud. As funding to these organisations is limited, a fraudulent event can have dire consequences on employees as well as impact future funding opportunities. Scant attention has been paid to the NFP sector in relation to fraud risk management. The study will help to address this.If you are interested in researching this topic as part of a Master of Philosophy (Accountancy), and you …

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

Exploring the attributes that influence the purchase of indigenous art and souvenirs

What attributes influence a consumers' intention to purchase indigenous art and souvenirs? Research has suggested ‘perception of authenticity’ motivate some consumers to seek out and purchase such products. However, authenticity may relate to the marker/artist, aesthetics of the design, or material use. These attributes are identified through the extant literature in indigenous art and souvenirs. The purpose of this research project is to determine what influences perceptions of authenticity, leading to purchase intention.

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

Understanding authenticity seeking in the purchase of indigenous art and souvenirs

There is a growing and substantial body of knowledge concerning tourists' perception of authenticity for indigenous art and souvenirs. Such products have significant impact on local economies.For tourists and visitors, indigenous art and souvenirs are mementos of their travel experiences and help tourists appreciate cross-cultural differences. However, more and more, these products are becoming mass-produced objects where the satisfaction of tourists and the profit motives of retailers are given priority. From the demand side, there are many motives for souvenir …

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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