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 484 matching student topics
Displaying 157–168 of 484 results
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
Internet of Mobile Energy
The emergence of the two-way communication model and Distributed Energy Sources (DES) is transforming traditional power systems from largely centralised energy production to more decentralised and connected management systems. This is called the 'smart grid'.As the smart grid evolves, electric vehicles (EVs) are emerging as unconventional and highly-disruptive participants in the grid that can add significant benefit and flexibility. Notably, EVs are equipped with a relatively high capacity battery that stores energy to power the vehicle.EV batteries, coupled with the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Forecasting disease spread risk based on human movement patterns
This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Trust in Internet-of-Things with blockchain
Blockchain is an unchangeable, distributed database that provides trust in data once it is stored on the database. However, in Internet-of-Things (IoT), the data is an observation of physical context and is susceptible to noise, drift, or malicious alterations. Sensors may even be decoupled from their intended context by an attacker, which may compromise the blockchain data and its value for guiding decisions.This project aims to develop an innovative approach for pervasive trust in IoT, underpinned by blockchain. The research …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
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
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
Exact and approximate solutions of diffusion on evolving domains
Classical applications of mathematical analysis involve solving partial differential equation models on fixed domains, e.g. 0 < x < L. Applications in biology, however, involve studying diffusive transport on rapidly evolving domains, e.g. 0 < x < L(t), where L(t) represents the length of the evolving tissue. While many problems have been addressed for the case where L(t) increases, less attention has been paid to cases where we consider diffusion on an oscillating domain.In this project we will construct exact …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Green solvents to recover metals – mining and battery recycling industry
With the ever-increasing demand for batteries, the accelerated production will soon translate into massive amounts of waste. Establishing effective LIB recycling strategies will balance the impact of end-of-life LIB waste and the demands on raw materials in the battery supply chain. Due to high prices of raw materials, the global LIB recycling market was valued at about $1.78 billion in 2017 and is expected to reach $23.72 billion by 2030, suggesting a significant opportunity for the recovery of valuable metals …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
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
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