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 502 matching student topics

Displaying 217–228 of 502 results

Security analysis of open-source software

Several open-source projects drive modern-day IT applications. However, some open-source projects get compromised by malicious attackers, who include malware to the code to compromise the security of the application users.This project will investigate approaches for securing the open-source software.

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

Basic aircraft collision risk modelling and visualisation

Aircraft collision risk modelling is complex yet key to ensuring safe air transport (both crewed and uncrewed aircraft). Different collision risk models are better suited to different airspace environments which means model comparison and evaluation is an important research problem. This project takes a deeper look into a specific collision risk modelling approach: gas models.

Study level
Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Tobacco control

As a prime advocate for plain packaging of tobacco products, Professor Matthew Rimmer is engaged in research and public policy work on tobacco control. He is interested in supervising research students working within the field of tobacco control - including in respect of the WHO Framework Convention on Tobacco Control; trade and investment disputes over tobacco control; the plain packaging of tobacco products; restrictions on tobacco advertising, sponsorship, and promotions; generational limitations on smoking; spatial restrictions on smoking; and civil …

Study level
PhD, Master of Philosophy, Honours
School
School of Law
Research centre(s)

Australian Centre for Health Law Research

Weakly nonlinear water waves in the complex plane

Weakly nonlinear waves are described by dispersive pdes, such as the famous Korteweg–De Vries (KdV) equation. These models have applications to a variety of phenomena in physics, including the propagation of water waves, but they are also interesting from a mathematical perspective because they can have special properties.While the KdV equation and its variants are well-studied in the literature, a new approach is to attempt to learn about wave propagation by investigating solution behaviour in complex plane. For example, there …

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

Optimal conservation management in uncertain Antarctic environments

Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …

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

Promoting incidental physical activity and social interactions in public space

The World Health Organisation recently raised the alarm on the critical importance of physical activity and social interactions for mental and physical health, highlighting the need for active environments that support people to engage in healthy activities. In order to address the high-rates of physical inactivity and social isolation, we need additional research evidence to design high-quality public spaces that promote health and wellbeing for all ages. This study lies at the intersection of built environment, human behaviour, and health …

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

Food literacy projects (see description for options)

Food Literacy is a collection of knowledge, skills and behaviours required to plan, manage, select, prepare and eat foods to meet needs and determine food intake. It is the scaffolding that empowers individuals, households, communities or nations to protect diet quality through change and strengthen dietary resilience over time. Areas for further research include, but are not limited to:identifying models to integrated food literacy into dietetic practice e.g. through the Nutrition Care Processdevelop population level indicators for food literacy that …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Exercise and Nutrition Sciences

Paediatric intensive care survivorship

One in 500 children require admission to paediatric intensive care (PICU) for acute life-threatening illness or injury during their childhood1. There are an estimated 300,000 survivors of paediatric critical illness in Australia. Up to 30% of PICU survivors experience long-term impairments in physical, cognitive, emotional, and social health. This is termed Post Intensive Care Syndrome – Paediatrics, and significantly impacts child development, with a multiplier effect on the family and society. This is believed to be caused, in part, by …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Nursing
Research centre(s)
Centre for Healthcare Transformation

The human factors in self-service technology

Organisations are increasingly moving toward self-service technology (where consumers deliver services themselves using technological interfaces). While this increases organisational efficiencies, it has the potential to significantly impact customer engagement with the organisation. We're seeking a Masters or PhD student to investigate the human factors involved in self-service technology delivery: How do situational factors impact consumers' adoption of self-service technologies? What motivators and inhibitors impact self-service technology usage? Do consumers always respond appropriately within self-service environments? The successful applicant for this …

Study level
PhD, Master of Philosophy
School
null
Research centre(s)
null
null

The role of complex singularities in geometric flows

A popular topic in differential geometry involves studying the singularity structure of geometric flows. The most well-known example is mean curvature flow. In this example, surfaces evolve according to a flow rule that relates the speed of the surface to its curvature. Certain surfaces will evolve until singularities occur in finite time, and these singularities can be studied using similarity solutions and asymptotic analysis.In this project, a different perspective is applied to these problems, namely the use of complex variable …

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

Virus Search Algorithms

Meta-heuristics are powerful search algorithms for solving intractable optimization problems. There are many population based approaches, like genetic algorithms, evolutionary algorithms, particle swarm, etc. but most of these have a static population size.Viruses arise and attack populations periodically. They typically appear when populations become abundant. Viruses infect population members, and often reduce the number of individuals. Viruses create spaces for more individuals and balance competition.The concept of viruses may be mimicked and could be a useful optimization paradigm.

Study level
Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Robot learning for navigation, interaction, and complex tasks

How can robots best learn to navigate in challenging environments and execute complex tasks, such as tidying up an apartment or assist humans in their everyday domestic chores?Often, hand-written architectures are based on complicated state machines that become intractable to design and maintain with growing task complexity. I am interested in developing learning-based approaches that are effective and efficient and scale better to complicated tasks.Especially learning based on semantic information (such as extracted by the research in semantic SLAM above), …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

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