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 291 matching student topics

Displaying 73–84 of 291 results

Managing Diversity for Positive Organizational Outcomes

This research aims to provide insights into how organisational gender and age diversity can be managed for positive employee and organisational outcomes. A lack of knowledge is creating issues including slow progress in being an inclusive society, diversity initiatives for short-term gains, and a lack of well-being of individuals. The expected outcomes include insights into what drives diversity practices, how diversity practices lead to positive outcomes, and organisational strategies to strengthen positive outcomes.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Management

The Martyrdom Effect: why we hurt to give

Most theories of motivation and behaviour consider pain and effort to be deterrents. In contrast to this widely held belief, researchers have identified that the prospect of enduring pain and exerting effort for a cause can promote contributions to the cause. Specifically, research has shown that willingness to contribute to a charitable or collective cause increases when the contribution process is expected to be painful and effortful rather than easy and enjoyable.This project extends this theory to a shopping context. …

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

Dopamine Dressing: Do brightly coloured outifts make us happier?

The theory of “enclothed cognition” suggests the systematic influence that clothes have on the wearer's psychological processes.Researchers have found the diverse impact that clothes can have on the wearer. It is proposed that enclothed cognition involves the co-occurrence of two independent factors—the symbolic meaning of the clothes and the physical experience of wearing them. For example, research has found physically wearing a lab coat increased selective attention compared to not wearing a lab coat, and wearing a lab coat described …

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

The use of chatbots for mental healthcare and emotional wellbeing

According to the World Health Organization, depression is the leading cause of disability, with 300 million globally suffering from it while fewer than half of those affected receive treatment. New Apps aim to help users manage their mental state, from meditation apps to more therapeutic platforms like Joyable. And a new Facebook Messenger chatbot called Woebot tries to help people with depression and other mental disorders through education and mood tracking. The focus of this research is to investigate consumers’ …

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

‘race for the surface’: designing the next generation antimicrobial biomaterials

When a biomaterial is implanted into the body and bacteria get into the implantation site, both the bacteria and tissue cells actively seek to establish their colonization on the biomaterial surface. This process, called ‘the race for the surface’ by Anthony Gristina in 1987, is still a subject of intense investigation. It is generally accepted that a biomaterial’s success in integrating with the body depends on if tissue cells win or the bacteria win the race. However, evidence from the …

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

Design, Simulation and Implementation of a Reliable PV Fault Detection Technique

Faults in any elements such as modules, lines, DC-DC converters and DC-AC inverters of photovoltaic (PV) systems can impact the reliability of the system and exacerbate the efficiency. Some other faults such as ground-fault might lead to significant issues such as the risk of fire. Therefore, it is crucial to investigate and detect the faults in the PV system and prescribe the appropriate actions.The supervisory team is looking for passionate students who are keen to conduct an overarching review and …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)

Centre for Clean Energy Technologies and Practices

The impacts of retailers' collectable free-gifts on children

Have you collected any? From the McDonalds' 1998 Vintage to the Coles 2018 Little Shop and the Woolworth 2019 Lion King Ooshies, retailers have been trying many collectable premium/gift promotions, and most of them are free to get with a certain amount of consumption in the retailer's store.Generally speaking, premium promotion is an important marketing promotion strategy which increases the retailers' revenue and brand reputation (Foubert et al. 2008; Septianto et al. 2020). For example, Wang, Japutra and Molinillo (2020) …

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

Epitaxial growth of 2D heterostructures for two dimensional electronics

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

Mines of the future

The mining industry is critical to the Australian economy with over 1 million jobs currently either directly or indirectly related to this sector. At present, a significant change in mining practices is occurring due to introduction of Industry 4.0 practices. Industry 4.0 involves the digital transformation of traditional mining methods through:additive manufacturingbig datamachine learningInternet of thingsroboticsautomation/instrumentationsmart processing.This project will develop industry 4.0 approaches to various ore bodies with the aim of controlling the influence of variable feedstocks, improving product quality, …

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

Tree-chain: a fast lightweight consensus algorithm for IoT applications

In recent years, blockchain adaptation in IoT has received tremendous attention due to its salient features including distributed management, security, anonymity, and auditability. However, conventional blockchains are significantly resource demanding and suffer from lack of throughput, delay in committing transactions, and low efficiency. We recently introduced a novel blockchain consensus algorithm known as Tree-chain, that bases the validator selection on an existing feature in all blockchains: hash function. Tree-chain achieves a fast throughput while ensuring the randomness and unpredictability of …

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

Modelling the response of expansive soil under wetting and drying

Expansive soils are those which can experience significant volume change when water content varies and as of this reason they are considered as problematic soils in geotechnical engineering. Expansive soils are widely distributed globally and cover a significant percentage of world land surface, especially in arid and semi-arid area.In Australia, expansive soil covers around 20% of surface soils and approximately 30% of the total ‘built-up’ land area is covered by expansive soils. This figure is expected to increase, as the …

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

Machine learning for understanding and predicting behaviour

Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …

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

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