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 464 matching student topics
Displaying 157–168 of 464 results
Leadership and digital transformation
Digital transformation and digitalisation are on top of the CIOs' agenda. However, organisations embarking into these initiatives struggle to understand the nature of leadership capabilities required for effective DT. Furthermore, the complexities associated with pandemics such as Covid19 has forced organisations to change the traditional view of leadership. The uncertainties require well-rounded leaders who can create vision and execute tactically to influence change, develop digital capabilities and foster enterprise agility.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Developing models of failure for porous materials
Classical fracture mechanics accurately predicts the failure strength of samples with sharp flaws such as pre-existing cracks. However, to predict the failure of porous materials we need to develop an understanding of how stresses are concentrated around smooth flaws in the material such as rounded pores, and how these stress concentrations contribute to failure.Finite fracture mechanics combines the energy criterion for failure from classical fracture mechanics with a stress criterion from macroscopic failure theory. The coupled criterion has by now …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Computational methods for multi-scale structural optimisation
Structural optimisation is a powerful computational methodology for finding high-performing designs for structural components or material architectures. For example, what periodic scaffold would provide the highest possible stiffness for its weight?Solving such a problem computationally requires an understanding of the relevant equations required to model the physical properties of interest, as well as efficient implementation of a range of numerical methods including finite elements, finite differences and optimisation.With recent developments in 3D printing technologies it is now becoming possible to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
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
Safe and non-flammable electrolytes for batteries
Electrolytes play a significant role in determining the performance of energy storage devices. In general, different types of liquid electrolytes have been investigated so far including organic liquids, ionic liquids, and aqueous. Among them, organic liquid electrolytes are highly flammable and volatile, while aqueous electrolytes suffer from a narrow working voltage window. IL liquid showed a promise to circumvent these challenges, however, their practical applications are plagued by the high cost, difficulty in preparation, and toxicity.This project will develop low-cost …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Mean exit time calculations in complicated geometries
Calculating the duration of time required for a diffusive process to end is a classical problem in mathematics, engineering, biology and economics. The concept of mean exit time is widely used to study transport phenomena in biology, such as calculating the duration of time required for a protein created in a cell nucleus to reach the cell membrane. While many exact calculations of mean exit time are known for simple geometries and homogeneous media, exact solutions are rare for complicated …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Polymer particles as precision sensors for molecules
Polymer particles are a billion-dollar industry with a diverse range of applications from biomedical to industrial coatings. As a prime example, point-of-care testing devices rely on polymeric particles with various size and functionality to conveniently allow instantaneous, selective, and precise diagnostics. However, as new applications arise and current applications advance, these demand the preparation of increasingly complex material and particle systems.The Soft Matter Materials Team has developed a simple method to form uniform particles without any additives, initiators or stabilizers. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Using light for 3D patterning of surfaces: the visible light challenge
Inspired by nature's way of using light to trigger chemical processes known as photosynthesis by green plants, the idea of using light as an energy source to make and break chemical bonds has been widely applied for the development of more complex structures in the soft matter materials design and biological sciences. However, to date, the energy required to activate chemical bond formation was mostly extracted from UV light which is a drawback to develop and apply these reaction systems …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Towards Synthetic protein-structures based on precision macromolecules: can we beat nature in designing catalysts?
Up for a challenge? In this project you can explore if you can beat nature in making catalytic systems! Over billions of years, nature has perfected the design and synthesis of high molecular weight precision macromolecules, which are able to execute a specific function in a complex biological environment such as proteins.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Macromolecular barcoding for tracing plastic materials for the circular economy: a game changer for recycling
The reduction and management of plastic waste is perhaps the most critical challenge facing modern economies and plastic pollution cannot be resolved by generic approaches to research or to problem-solving. The Soft Matter Materials Team aims to resolve the anonymity and ubiquity of plastics by pioneering a simple optical readout system that can identify the uniquely coded information in macromolecules that have been embedded in plastics.In this project, optically readable macromolecular barcodes based on a system of excimer fluorescence switch-on …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Advanced polymer inks for 3D printing - defining the future of 3D additive manufacturing
Some estimates state that 30% of all manufactured goods will be 3D printed in 2030. A particular type of 3D printing is 3D laser lithography with which micro- and nano-sized structures can be prepared. Such structures find wide ranging applications in meta-materials functioning as invisibility cloaks or scaffolds for single (stem) cell interrogation. Today’s inks for 3D printing, however, only allow one material property to be written with one laser wavelength.Working in close collaboration with team members of the Soft …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials 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
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