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 680 matching student topics

Displaying 541–552 of 680 results

Customer messaging for energy behaviour change in smart homes

Queensland has committed to the rapid transformation of its energy systems in the coming years, with the 2022 Queensland Energy and Jobs Plan targeting 70% renewable energy usage by 2032 (Queensland Government, 2022). While the implementation of the plan has the potential to deliver major environmental and economic benefits for the state, it carries significant technological and social challenges.Critically, it requires effective communication with customers to ensure uptake of target consumer energy resources (CERs) like electric vehicles, home battery storage, …

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

Re-localisation in natural environments

Re-localisation in robotics involves the process of determining a robot's current pose, consisting of its position and orientation. This can either be within a previously mapped and known environment (i.e. prior map) or relative to another robot in a multi-agent setup. Re-localisation is essential for enabling robots to perform tasks such as autonomous monitoring and exploration seamlessly, even when they encounter temporary challenges in precisely tracking their location in GPS-degraded environments. For instance, consider the 'wake-up' problem, where a robot …

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

Challenges to data sharing of electric vehicles: alleviating privacy concerns with edge computing

The Australian Government has released Australia’s first National Electric Vehicle Strategy to increase the uptake of electric vehicles (EVs) in Australia (Australian Government, 2023), which has the potential to reduce carbon emissions substantially, given that electricity is produced from renewable energy sources (Degirmenci & Breitner, 2017).Despite environmental benefits like reduced carbon emissions, EV owners become increasingly concerned about their privacy due to enhanced EV connectivity and increased personal data sharing through EV digital services. Edge computing, where data is processed …

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

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
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Supercapacitor with 2D vertical heterostructure electrodes

Supercapacitor is a promising energy storage device with advantages of high power density, fast charging/discharging rate and long cycling life. However, the energy density of supercapacitor is relatively low as compared to that of other devices such as lithium-ion battery. To improve the energy density, new electrode materials including graphene and metal oxides have been explored for supercapacitor electrodes.Two-dimensional (2D) heterostructures recently offered a compelling solution to enhance the performance of supercapacitors by combining more than one components into a …

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

Greenwashing

This project is exploring the regulation of greenwashing in Australia, and elsewhere. It is investigating the environmental, sustainability and climate claims made by companies in a variety of industries including energy, vehicles, household products and appliances, food and drink packaging, cosmetics, clothing and footwear. It is exploring the impact of misleading environmental and sustainability claims on consumers. It is compiling a database of disputes and controversies over greenwashing. This project is analysing various modes of regulation of greenwashing. It highlights …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)

Centre for Behavioural Economics, Society and Technology

Tobacco control

As a prime advocate for plain packaging of tobacco products, Professor Matthew Rimmer is engaged in research and public policy work on tobacco control. He is interested in supervising research students working within the field of tobacco control - including in respect of the WHO Framework Convention on Tobacco Control; trade and investment disputes over tobacco control; the plain packaging of tobacco products; restrictions on tobacco advertising, sponsorship, and promotions; generational limitations on smoking; spatial restrictions on smoking; and civil …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)

Australian Centre for Health Law Research

Motivation to exercise: how does a virtual cycling stimulus influence performance on a stationary bicycle?

This research project will use Zwift exercise bikes at the QUT Gardens Point Campus to investigate how different sources of visual information influence physiological (e.g., RPE, HR) and psychological variables (e.g., engagement, enjoyment, motivation, immersion). The visual information will be presented on a large screen in front of the rider. The rider will view themselves on a virtual cycling course where inclines and declines will be mapped to the resistance the rider experiences through the pedal cranks. There is a …

Study level
Master of Philosophy
Faculty
Faculty of Health
School
School of Exercise and Nutrition Sciences

An identity-based approach to entrepreneurial education

Entrepreneurs are motivated by their passion to create solutions. How they define themselves shape the purpose of their start up and influence their decision matrix on a daily basis. This research program aims to design and evaluate various development approaches to support entrepreneurs journey.

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Management
Research centre(s)
Centre for Future Enterprise

Enhancing 3D visual understanding through multimodal data fusion

The demand for 3D scene understanding through point clouds is rapidly growing in diverse applications, including augmented and virtual reality, autonomous driving, robotics, and environment monitoring. However, the field faces challenges due to limited data availability and predefined categories. Training deep 3D networks effectively for sparse LiDAR point clouds requires significant amounts of annotated data, which is both time-consuming and expensive. Building on the advancements in 2D models that leverage the power of image and language knowledge, our project aims …

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

Dietary counselling for nutrition-impacting symptoms during cancer treatment

Nutrition-impacting symptoms contribute to decreased quality of life and food intake, and subsequent malnutrition and decreased willingness to commence or complete cancer treatment, which all compromise survival. Evidence exists to support the role of dietary counselling for malnutrition during cancer treatment; however, less is known about the role of dietary counselling for nutrition-impacting symptoms that lead to the development of malnutrition.This systematic review project will synthesise available evidence on the effect of dietary counselling interventions on nutrition-impacting symptoms (e.g., fatigue, …

Study level
Honours
Faculty
Faculty of Health
School
School of Nursing
Research centre(s)
Centre for Healthcare Transformation
Cancer and Palliative Care Outcomes Centre

Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems

The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Data Science
Centre for Future Mobility

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