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 207 matching student topics

Displaying 121–132 of 207 results

Mathematical tools for stochastic and continuum transport models

Mathematical models of particle transport are fundamental to many applied disciplines including physics, biology, ecology and medicine. Particle transport is typically modelled using either a stochastic model, where probability rules govern the motion of individual particles, or a continuum model, where partial differential equations govern the concentration of particles in space and time. This project aims to use analytical and numerical techniques from applied and computational mathematics to address one or both of the following questions:what is the average time …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Statistics via scalable Monte Carlo

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

Strengthening security for cloud computing applications

In today's digital landscape, applications are increasingly being deployed on cloud platforms, offering benefits such as streamlined management and cost-effectiveness. However, even with the efforts of cloud providers to deliver reliable services, the risk of runtime failures and faults still exists. This project aims to address this challenge by exploring innovative approaches to detect and mitigate errors that occur during the operation of cloud-based applications. By proactively identifying and resolving runtime issues, we can enhance the overall performance, reliability, and …

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

Cybersecurity for open-source software using machine learning and AI

People are increasingly using open-source software in businesses and industries. These software programs are made by a community of developers and are managed by platforms like PyPI and npm. However, there is a worry about the safety of these programs because hackers add harmful code to compromise security and steal important data. This project explores approaches to detect harmful open-source projects using machine learning and AI.

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

Facilitating Towards Sustainable Electric Vehicles Trading System

The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …

Study level
Honours
Faculty
Faculty of Science
School
School of Information Systems

Real-time Business Process Integration in the Industrial Internet of Things (IIoT) for Industry 4.0

The vision of Industry 4.0 is to support business capabilities at the edge. The Industrial Internet of Things (IIoT) enables this vision by integrating IoT with Enterprise Systems (ESs). In an IIoT process, sensor applications at the edge require seamless integration with the software services of ESs. This, in turn, facilitates the real-time correlation of sensor events with BPs. However, existing IIoT architectures lack the necessary architectural capabilities to reflect the true essence of Industry 4.0.This research aims to develop …

Study level
Honours
Faculty
Faculty of Science
School
School of Information Systems

Experimental validation of a novel tricuspid valve design

The tricuspid valve is responsible for regulating the flow of blood between the right atrium and the right ventricle of the heart. During ventricular systole, it closes to prevent the backflow of blood from the right ventricle into the right atrium. This closure ensures that blood is pumped forward into the pulmonary circulation. In contrast, the tricuspid valve opens during ventricular diastole, allowing blood to flow from the right atrium into the right ventricle.When the tricuspid valve fails to close …

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

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

Enhancing 3D visual understanding through multimodal data fusion

The demand for 3D scene understanding through point clouds is rapidly growing in diverse applications, including augmented and virtual reality, autonomous driving, robotics, and environment monitoring. However, the field faces challenges due to limited data availability and predefined categories. Training deep 3D networks effectively for sparse LiDAR point clouds requires significant amounts of annotated data, which is both time-consuming and expensive. Building on the advancements in 2D models that leverage the power of image and language knowledge, our project aims …

Study level
PhD, Master of Philosophy, Honours
School
School of Electrical Engineering and Robotics

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

Investigating effectiveness of local government social media channels

As social media becomes more intertwined into our daily lives, having an online presence on social media has become common not just in the private but also in the public sectors. The use of social media in local governments has shown great potential in terms of improving the efficiency and effectiveness of citizen-government communication. It has also been effective in terms of increasing citizen engagement and participation. Therefore, this research project seeks to discover how do local governments leverage the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Better bus stops for climate, context, and community

Bus stops are crucial touch points for a public transport system, and have the potential to impact human health and wellbeing, as well as rider experience. As a ubiquitous aspect of the urban fabric within a city, bus stops impact the character and function of the streetscape and their design can impact people’s experiences within the public realm. Yet their role in shaping everyday places is usually neglected and is under researched. In addition, with increased temperatures and extreme weather …

Study level
PhD, Master of Philosophy, Honours
School
School of Architecture and Built Environment

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