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 33 matching student topics
Displaying 13–24 of 33 results
Evaluation of language models and word embedding methods for natural language processing applications
In deep learning models, language models and word embedding methods have become popular to understand the context of text data. There exist many variants of these methods and have different limitations. This project will introduce you to the hot topic of language models and the fields of Natural Language Processing and Text Mining.
- Study level
- Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Optimisation of piezoelectric materials for robotics applications
Piezoelectricity, which translates to “pressure electricity”, is the phenomenon in which certain materials convert mechanical energy to electrical energy, and vice versa. Such materials are common-place and are used in a variety of applications including sensor, actuator, and energy harvesting technologies. The capabilities of such piezoelectric materials have not yet been fully realised. We plan to use computational structural optimisation to design new piezoelectric materials and components that may contribute to novel sensing technologies for robotics applications. Essentially, robots need …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Market practice disruption and the implications for consumers and marketing
Marketing and consumer research has focused in recent years on how consumers respond to disruption. Work in this area has illustrated how disruption can cause consumption practices to fall apart, or become re-aligned through the actions of consumers. However, there has been less attention paid the market disruption and the effects.This project focuses on market practice disruption and the implications for consumers and marketing. Drawing upon a social practice theory perspective, this research will consider different contexts in which markets …
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
- Research centre(s)
- Centre for Justice
Centre for Behavioural Economics, Society and Technology
Low-cost portable Magnetic Resonance Imaging for clinical applications
The aim of this project is to develop accurate low-cost medical imaging methodology for pseudo-3D mapping of Mammographic Density (MD) within the breast. MD is the degree of radio-opacity (“whiteness”) in an X-ray mammogram. It has implications for breast cancer risk, ease of detection of breast cancer, and monitoring of the efficacy of hormonal breast cancer prevention or anti-cancer treatments.Healthcare ChallengeThere is a growing need for affordable and accurate quantitative assessment of MD without ionising radiation. Magnetic resonance imaging (MRI) …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Augmented reality (AR) applications for robotics
Augmented reality (AR), or mixed reality, has become a mature technology with many possible practical applications in manufacturing, retail, navigation and entertainment.We're interested in using AR to support human-robot interaction. In this project, you'll investigate how a human can use AR to better understand how a robot perceives the world and to understand the robot's intentions.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
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
Growth and characterisation of epitaxial graphene for electronic and sensing applications
The extraordinary properties of graphene, a single sheet of carbon atoms (e.g. monodimensional structure, high conductivity, low-noise characteristics) are expected to be exploited in the next generation of electronic devices and gas sensors. These applications require a perfect control of the growth of graphene layers, and an optimum integration with the processes and materials used in the semiconductor industry.This project aims at studying the growth of graphene obtained by heating crystalline SiC at high temperature in Ar atrmosphere and ultra …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Structural application of green concrete
The need for sustainable construction has prompted researching alternative concrete technologies around the world. In QUT, a project has been developed to investigate structural applications of environmentally friendly (Green) concrete.Project activities can be undertaken by students at various levels, including VRES, final-year undergraduates, and PhD researchers.
- Study level
- PhD, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Centre for the Environment
Building metallo-supramolecular cages for sensing and catalytic applications
The concept of creating molecular electronic devices has resulted in the development and rapid advance of the field of supramolecular chemistry.In this project we are particularly interested in how we can use simple building blocks to self-assemble into complex, functional structures both in solution and at the solution:surface interface.These types of structures have shown great promise in applications such as catalysis, sensing, drug delivery and even in the development of molecular machines.AimsThis project aims to:design, synthesise and characterise complex metallo-supramolecular …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Topics in computational models in fractional dynamic models with applications
In recent years, fractional models have attracted considerable interest because of their ability to model many phenomena. Anomalous diffusion phenomena are widely spread in nature and engineering.This proposal aims to carry out innovative and novel research on developing efficient and accurate computational models for complex fractional dynamical systems.Potential research projects include:Computational modelling of nanofluids for industrial applications.Time and space nonlocalities underlying fractional-derivative models with application to medical imaging.Fractional dynamic models for MRI to probe tissue microstructure. Explore the utility of …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Plasmonic metal application
Developing “light controllable product selectivity switches” is of great interest in cross-coupling reactions based chemical synthesis. On an environmentally friendly plasmonic metal nano-particle surface, light irradiation can change the reactants adsorption on the surface, and thus change the relative ratio of the reactants for reaction. Different wavelengths contribute to tune this selectivity more accurately in a molecular level.
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Renewal and differentiation in human neural stem cells and their application to understanding neurological disorders
The effective regeneration of brain tissue requires an understanding of the factors mediating the damage as well as the integration of new/replacement cells to form new functional neural networks. The isolation and expansion of human stem cells and limited neural lineage differentiation have provided the foundation for strategies in the treatment of neurodegenerative disorders. We utilise iPSC-derived NPCs and patient-derived (Alzheimer’s disease; AD) iPSCs and neural lineage differentiation of hMSCs, iPSC NPCs and AD iPSCs in neuronal and glial culture …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
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