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.

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Found 479 matching student topics

Displaying 61–72 of 479 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

Carbon markets

Carbon markets are recent social innovations of our modern economy. These national and international carbon markets are expected to play crucial roles in addressing climate change. There are many shortcomings of existing structures of the carbon markets. Rich literature discusses loopholes in these markets which undermine their ability to assist with global efforts of emission reduction and abatement. This project aims to discuss both theoretical and empirical issues relevant to these loopholes.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Economics and Finance
Research centre(s)
Centre for Agriculture and the Bioeconomy

Women returning to construction after career interruptions

The architecture, engineering, and construction (AEC) industry is known to have a fast-paced and demanding working environment. Companies operate in a competitive market with tight project deadlines. The stringent work environment is perceived as one of the main barriers in career progression for women and can be challenging for women to return to work after career interruptions.This project focuses on three big questions:What are the types of career interruption?What motivates women to return to work in the AEC sector?Do these “return-to-work” policies/work practices work?

Study level
Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

The failure of the market for fashion

The market for fashion, clothing and textiles has failed, causing an externality characterised by overconsumption, oversupply and resulting largely in textile waste. Legislative change at a geopolitical level seeks to address these issues, however, there are numerous actors involved with diverse interests.

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Develop microfluidic technologies for cardiovascular and cerebrovascular diseases

The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms. Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.To address this pressing need, we're developing simple-to-use, high-throughput and highly-informative microfluidic biochips to understand the sequences of molecular events underlying biomechanical thrombosis (mechanobiology). …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Genetics of cardiovascular disease

This research project involves investigating the genetic basis of cardiovascular disease (CVD). The project will focus on the genetically unique population of Norfolk Island. The Norfolk Island Health Study has been running for 20 yrs. Over this time the cardiovascular health of the Islanders has been tracked via the collection of relevant clinical data. In addition whole genome sequence data from the study group has been collected, which will facilitate the discovery of genetic variants that influence CVD phenotypes - …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

Scheduling of vessel movements in channel constrained ports

International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Curvature dependence of reaction-diffusion wave front speed with nonlinear diffusion.

Reaction-diffusion waves describe the progression in space of wildfires, species invasions, epidemic spread, and biological tissue growth. When diffusion is linear, these waves are known to advance at a rate that strongly depends on the curvature of the wave fronts. How nonlinear diffusion affects the curvature dependence of the progression rate of these wavefronts remains unknown.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Biomedical Technologies

Making the most of many models

In the age of Big Data, machine learning methods, and modern statistics the adage "all models are wrong but some are useful" has never been so true. This project will investigate data science approaches where more than one model makes sense for the data. Is it better to choose a single model or is there something to be gained from multiple models?This project will look at variable selection methods, penalised regression, Bayesian model averaging and conformal prediction. The research has …

Study level
Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

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