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 465 matching student topics
Displaying 121–132 of 465 results
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
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Two dimensional heterostructures on SiC for new electronics
The present electronic technology is approaching the limit to the smallest circuit element achievable, and the future electronic devices will depend critically on the development of novel approaches. Two dimensional materials seem to offer an exciting perspective, and the advent of graphene (a single layer of carbon atoms in a honeycomb structure) sparked a huge interest, but its application to electronics are limited by the absence of a band gap.A new perspective has been open by other 2D materials which …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Designing smart visual technologies with people with intellectual disability
This research is part of a Future Fellowship project funded by the Australian Research Council. You will join a team of researchers and research students in the school of computer science, with expertise in the disciplines of human computer interactions and data science.In broad terms, the project is seeking to understand how the meaning of images can be computed and used in the design of intelligent interfaces which can be used by and support people with intellectual disability.The visual interactions …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Using mathematics to understand multiple sclerosis: what causes the immune system to attack the brain?
Every day, we use our bodies to move, think, talk and eat, but for people with multiple sclerosis (MS) these tasks can be virtually impossible. MS is a chronic disease which develops because the immune system has started to attack the nerve cells in the brain. This causes the degradation of parts of the brain and irreversible impairment in physical and mental activity. Unfortunately, this disease has no cure, and while considerable therapeutic advances against this disease have been achieved, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
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
Data reasoning to extend domain knowledge in deep learning
A wide variety of companies now use personalized prediction models to improve customer satisfaction, for example, detecting cancer relapses, Detecting Attacks in Networks (e.g., SDN) or understanding Customer Online Shopping Behaviour. However, the dramatic increase in size and complexity of newly generated data from various sources is creating a number of challenges for domain experts to make personalized prediction.For example, early detection of cancer can drastically improve the chance and successful treatment. Recently, supervised deep learning has brought breakthroughs in …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Conservation is a noisy business: modelling the effects of stochasticity on wildlife management decisions
To conserve species in disturbed natural environments, we need to use mathematical models to predict the consequences of different interventions. Unfortunately, these models are based on partial information of complex systems, and the systems themselves are subject to substantial observational and process noise.We often use ordinary differential equations to describe ecosystems, like the classic logistic growth model:dn/dt = r n (1 - n / k)However, these models are deterministic, and they assume we know the values of the key parameters …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Developing composite products for use in light steel wall and floor systems
The project will investigate the potential use of a range of composite products made of gypsum plasterboard, steel sheeting and insulation foams to improve the fire resistance of light steel wall and floor systems. It will involve investigating the potential composite products’ suitability, conducting fire tests of small scale wall/floor assemblies (1.2mx.1.2m) made of such composite products to understand how they behave in fire and determine their fire resistance levels. Civil and Mechanical Engineering students with interest in structural and …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Bushfire design of residential buildings
This project aims to investigate the bushfire performance of residential buildings in the bushfire-prone areas of Australia. This includes a detailed review of:bushfire characteristicsradiant and convective heat ratestype of materials used to construct bushfire safe housesstructural and fire performance of external wall and roof panelsstructural and architectural building design requirementsThis comprehensive review will contribute towards developing conceptual models and design methods for external wall and roof systems for residential buildings in bushfire zones.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Bushfire performance of lightweight and fire resistant wall panels
This project will investigate the structural bushfire performance of lightweight and fire resistant cement based blocks and wall panels. This includes axial compression tests and fire resistance tests of individual blocks currently available in the industry. The performance will be summarized based on the raw materials and the mix proportion of the blocks.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
AI-Based Data Analysis on Multiple Imaging Modalities
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. According to the World Health Organization (WHO), it is estimated CVD takes 17.9 million lives every year. In Australian, the statistical data from the Australia Heart Foundation shows CVD is a major cause of death in Australia. It occupies 26% of all deaths, responsible for an average 118 deaths every day. Four of the main types of CVD are coronary heart disease, strokes and transient ischaemic attack, peripheral …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Predicting alternative states induced by multiple interacting feedbacks: seagrass ecosystems as a case study
This project seeks to explore the complex dynamics that might arise from multiple interacting feedbacks in marine ecosystems, by designing ordinary and/or partial differential equation models of these feedbacks and analysing the steady states and/or temporal dynamics of the proposed model(s).It has been hypothesised that many social and ecological systems exhibit alternative stable states due to feedback processes that keep the ecosystem in one state or the other. The result can be tipping points, which are difficult to predict but …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
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