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 502 matching student topics
Displaying 61–72 of 502 results
Quantifying sedimentation on reefs using Google Earth Engine
Decreasing water quality is negativtly impacting coral reefs globally and is a threat that can be actively managed.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
-
Centre for the Environment
Pulse Power Generator electronics design and construct
Pulse power shows great promise for many applications including air and water purification. Repetitive Pulse Power Generators (PPGs) generate medium frequency power pulses (few kW) with small duration (few us to few ns) and with repetition frequencies of a few hundred Hz to a few kHz (see DOI: 10.1109/ACCESS.2019.2947632 for more info).The PPGs are constructed from series connected cells often in Marx generator like structures, but with active semiconductor switches such as MOSFETs in place of the traditional spark gaps …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Efficient Parameter Estimation for Stochastic Simulations
Stochastic simulation-based models are routinely used in many areas of science to describe inherent randomness in many real-world systems. Applications include the study of particle physics, imaging if black holes, biochemical processes, the migration of animals, and the spread of infectious diseases. To apply these models to interpret data requires statistical methods to estimate model parameters.Unfortunately, standard statistical techniques are not capable of analysing data using these models. This is largely due to the model likelihood, the probability of the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Exploring green infrastructure optimisation for climate change adaptation and mitigation
Green infrastructure refers to public and private green spaces in cities that provide water cycle benefits. These green spaces range in the range from single trees on city streets to urban parks, and waterway walkways. Some are natural, such as the remains of native plants, while others are more geometric, for example green roofs and green walls. Green infrastructure can increase the sustainability and vitality of cities through benefits such as greening and cooling, water quality, and managing hotter weather. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Greenwashing
This project is exploring the regulation of greenwashing in Australia, and elsewhere. It is investigating the environmental, sustainability and climate claims made by companies in a variety of industries including energy, vehicles, household products and appliances, food and drink packaging, cosmetics, clothing and footwear. It is exploring the impact of misleading environmental and sustainability claims on consumers. It is compiling a database of disputes and controversies over greenwashing. This project is analysing various modes of regulation of greenwashing. It highlights …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Law
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
Empowering communities with DataCare: ethical data practices for smart cities
Smart cities hold immense potential for progress, but their success hinges on citizen empowerment and ethical data practices. Our research initiative, DataCare, aims at reshaping the landscape of smart cities by prioritising citizens, communities, and small businesses. This project, developed in collaboration with Brisbane Residents United (BRU), focuses on transforming smart cities from profit-driven entities to community-led developments.BRU is a community association serving as a vital grassroots advocacy and peer support network for suburban and local resident groups across Greater …
- Study level
- PhD, Master of Philosophy
- School
- School of Design
- Research centre(s)
- Digital Media Research Centre
Design Lab
Modelling of electrochemical CO2 capture and conversion
Renewable electricity is remarkably cheap, and is only going to get cheaper. However, existing state-of-the-art CO2 capture and conversion processes use thermal energy (typically generated by burning natural gas). This modelling project will investigate electrochemical techniques for capturing CO2 from air (direct air capture) and converting it to useful chemicals and materials.
- Study level
- PhD
- School
- School of Mechanical, Medical and Process Engineering
Early diagnosis of pregnancy complications using exosomes
Complications of pregnancy, including preterm birth represent the major causes of fetal and neonatal morbidity and mortality and potentially affect childhood and adult susceptibility to both cardiac and metabolic diseases. Early detection of these disorders is, therefore, essential to improve health outcomes for mother and baby.Exosomes are small (40-120 nm), stable, lipid bilayer nanovesicles identified in biological fluids (e.g. in milk, blood, urine and saliva). They contain a diverse array of signalling molecules, including mRNA, microRNA (miR), proteins, lipids and …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Targeting leptin's signalling axis to prevent treatment resistance in prostate cancer
Advanced prostate cancer (PCa) is a leading cause of cancer-associated death in Australian men. Anti-androgens, which exploit the tumour’s reliance on androgens for its growth & spread, offer temporary remission in advanced PCa patients, but due to treatment resistance, fail to be curative. A further complication of anti-androgens is that they trigger a deleterious suite of metabolic side-effects resembling obesity/Metabolic syndrome. These symptoms not only impact patient health but promote tumours to be more aggressive & resist treatment. Vital new …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Early detection of complications in human pregnancy
Complications of pregnancy, including preterm birth represent the major causes of fetal and neonatal morbidity and mortality and potentially affect childhood and adult susceptibility to both cardiac and metabolic diseases. Early detection of these disorders is, therefore, essential to improve health outcomes for mother and baby.Exosomes are small (40-120 nm), stable, lipid bilayer nanovesicles identified in biological fluids (e.g. in milk, blood, urine and saliva). They contain a diverse array of signalling molecules, including mRNA, microRNA (miR), proteins, lipids and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Care in Correction: Promoting Health in Australian Prisons
Half of Australia’s prison population have a disability. Correctional facilities have an opportunity to help people who require health care to recover, and by doing so, increase their likelihood of living independently and not re-offending. International examples show that the incorporation of health facilities into correctional facilities has been beneficial not only to prisoners themselves but to general public health practices as well.This has been especially the case for First Nations peoples in incarceration in Canada and New Zealand. Existing …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Scalable Bayesian Inference using Multilevel Monte Carlo
Bayesian inference is a popular statistical framework for estimating the parameters of statistical models based on data. However, Bayesian methods are well known to be computationally intensive. This fact inhibits the scalability of Bayesian analysis for real-world applications involving complex stochastic models. Such models are common in the fields of biology and ecology.Multilevel Monte Carlo (MLMC) methods are a promising class of techniques for dealing with the scalability challenge. These approaches use hierarchies of approximations to optimise the trade-off between …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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