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 239 matching student topics
Displaying 169–180 of 239 results
Business model innovation
Business models are becoming an important focus of innovation activities of practitioners and innovation studies of academics.When organisations want to introduce new products or services or need to transform their existing products or services, a viable business model is a critical requirement for commercial success. For example, many internet services are provided for free and require providers to find alternative sources of revenue, such as advertisements or premium services.In addition, the innovation of the business model itself is often a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
Molecular simulation of rotational diffusion in ideal liquids
Rotational tumbling of molecules in a liquid is an important phenomenon in Magnetic Resonance Imaging (MRI) because it determines the spin-relaxation rates of the resident nuclei which can determine MRI contrast.For a relatively simple molecular process, the theoretical description of rotational motion of molecules in liquids remains controversial. The most commonly used model, the Debye model, assumes that:the rotational diffusion propagator of a tumbling molecule is a solution of the diffusion equation on a spherical surfacethis solution is described by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Haptics controllers for natural interactions in VR
Virtual reality (VR) technologies have become cheaper and more accessible in the last couple of years. This allowed for exploring their use in different areas including gaming, health, education and training settings.While VR can provide high immersion via augmenting our senses in the virtual environment, user interaction with the virtual environment has been limited relying on pre-set gestures or default controllers designed by the companies who built the VR gears.The Vive Tracker is an accessory for HTC Vive which allows …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Human-in-the-loop techniques to debug machine learning models
Machine learning models are being deployed in critical domains such as healthcare, education and fintech. The current approach to deploying machine learning models is based on considering a data-centric approach where the models are evaluated using performance measures on a test set. However, the high performance of the model on test data is not indicative of its reliability,An important aspect of reliability is in the understanding of what exactly a machine learning model encodes, and to verify if it learns …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Tailoring 2D materials via interface engineering
2D materials are crystalline materials with only a single layer thickness. The best known 2D materials is graphene, but it also encompasses a large family of materials , such as transition metal dichalcogenides (TMDCs).2D materials are set for breakthroughs in fundamental research and transformative technologies. They have few surface dangling bonds and unique atomic-level uniformity which make them very appealing for developing optical, electronic and energy applications.These materials also bring a new degree of freedom to combine highly distinct materials, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
2D heterostructures for future electronics
The traditional approach to the miniaturisation of electronic devices is coming to a halt. Experts agree that the Moore’s law prediction of doubling the number of transistors per chip every two years will cease to be fulfilled in 2020, as the heat produced in small structures cannot be cooled down quickly enough.However, by reducing the size of the device, the quantum nature of atoms and solids can be turned into an asset. By exploiting the phenomena occurring at these scales, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Centre for Clean Energy Technologies and Practices
Surface engineering for nanoelectronic devices
Ga2O3 is an emerging wide-bandgap semiconducting material that has received enormous attention in recent years. This is due to its potential application in power devices, UV detectors and military applications that are unattainable by conventional semiconductors such as silicon.The operation and performance of these type of electronic devices rely critically on the surface quality and properties of the semiconducting materials. However, the surface atomic structures and electronic structures of Ga2O3 single crystals are not yet fully understood.The principal aim of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Centre for Clean Energy Technologies and Practices
Glassy 2D molecular materials
Modern semiconductor technologies are based on crystalline materials with well-defined physical and electronic structures.However, molecular materials, such as organic semiconductors, may present interesting opportunities through disordered structures.The focus of this project will be on conjugated 2D materials without long-range order: molecular glasses. Through control of the chemical composition, atomic bonding motifs, and lateral size, we will be able to modify the properties of these materials.Our focus will be on synthesising and studying these new materials to better understand the relationship …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Avatar customisation for diversity training in virtual reality
Avatar representation is found to be crucial for user engagement in various types of applications and user identifications with avatars. This project aims to design and develop an environment where users can customize their avatars by looking at a virtual mirror. In this project, where users will be trained in diversity awareness, it is crucial for them to feel like the character who is in the scenario. The outcome of the project will be used in experiments to test the …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Hierarchical forecasting: forecasting a collection of time series
Hierarchical forecasting is a method used to generate forecasts at multiple levels of aggregation within a structured hierarchy. This technique is particularly valuable in situations where data can be organised into a hierarchy based on different dimensions, such as geography, product categories, or time. The approach ensures that forecasts at the top levels (e.g. total sales) align with forecasts at the lower levels (e.g. regional or product-level sales), creating a coherent and consistent forecasting process across the entire hierarchy.In many …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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
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
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