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.
Found 494 matching student topics
Displaying 361–372 of 494 results
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)
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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
Understanding public perceptions of the sustainable energy transition: a social network analysis
The challenge to keep global warming to 1.5°C above pre-industrial levels has become even greater due to a continued increase in greenhouse gas emissions (IPCC, 2023). One major challenge is the shift from fossil fuels to renewable energy to reduce emissions (Gholami et al., 2016). The share of renewable energy in electricity generation has increased to 28.3%, however, an acceleration of the pace of the transition is required to limit global temperature rise (REN21, 2022).In this project we investigate public …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Enabling effective novice-expert interactions: co-designing immersive systems for complex remote data analysis
This student research topic focuses on exploring and developing immersive systems that facilitate interactions between novice and expert users in the context of complex remote data analysis. The goal is to design and prototype innovative solutions that enhance the collaboration, learning, and training aspects of data analysis tasks.The research will involve investigating various immersive technologies and their potential application in bridging the gap between novice and expert users, enabling effective knowledge transfer and skill acquisition.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
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