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 15 matching student topics
Displaying 1–12 of 15 results
Enhancing sonographer work-integrated learning: balancing quality training with workforce demands and student well-being
Sonographers, highly skilled healthcare professionals responsible for essential diagnostic ultrasound services, are currently facing a severe nationwide shortage. The Australasian Sonographers Association reported a deficit of at least 3,000 sonographers in 2019. Training new sonographers involves comprehensive work-integrated learning (WIL), which blends academic knowledge with structured real-world experiences to develop vital clinical skills. However, due to escalating workforce demands, concerns have arisen about potential exploitation of students within workplaces. This exploitation could involve assigning tasks exceeding their capabilities or subjecting …
- Study level
- PhD, Master of Philosophy
- School
- School of Clinical Sciences
Healthcare providers’ perspectives on wound care in aged care facilities
The ageing of the population in Australia, in line with other developed countries, is well documented, with the trend giving rise to an increase in incidence and prevalence of health conditions and complex health states for which age is a significant risk factor. As the skin ages, reduced moisture and loss of elasticity places the older person at increased risk of a variety of wounds such as skin tears and pressure injuries. In addition, the presence of multiple comorbid conditions …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Nursing
- Research centre(s)
- Centre for Healthcare Transformation
Wound care in people with dementia: the silent unknown
The incidence of both dementia and chronic wounds increases with age, thus, given the ageing population, the overlap is strong.Clinicians report managing wounds in adults with dementia is a frequent and challenging problem, yet people with dementia are generally excluded from research into evidence-based wound care despite impaired cognition, high incidence of falls, immobility and incontinence, all of which are recognised risk factors for skin tears and chronic wounds.This project aims to investigate the evidence in regard to dementia and …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Nursing
Identifying protein and metabolite markers of burn injury and trauma
It can be difficult for clinical teams to determine the severity of burn injuries when the patient first presents to the hospital. This is because burn wounds continue to deepen/progress over time, in a process known as burn wound conversion. Some wounds may deepen over days or weeks and require aggressive surgical treatment e.g. grafting, and some wounds don’t progress, stay superficial in depth, and they can be managed conservatively with the application of different bandages or dressings. We have …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Wound care in regional/rural Queensland
Barriers to health care for regional/rural residents often relate to the limited availability of local health services and resources and the distance needed to seek suitable specialised services. Wounds experienced in rural and regional areas are often dependent upon the types of employment available, recreational pursuits and risk-taking behaviours.The prevalence of non-communicable lifestyle related risk factors (such as obesity and poor nutrition) and the propensity for an ageing population in rural and regional areas, positions this population group as one …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Nursing
Implicit representations for place recognition and robot localisation
This project will develop a novel localization pipeline based on implicit map representations. Unlike traditional approaches that use explicit representations like point clouds or voxel grids, the map in our project is represented implicitly in the weights of neural networks such as Neural Radiance Fields (NeRF). You will get a chance to develop a new class of localization algorithms that work directly on the implicit representation, bypassing the costly rendering step from implicit to explicit representation. The designed algorithms will …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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
Semantic SLAM for robotic scene understanding, geometric-semantic representations for infrastructure monitoring and maintenance
Making a robot understand what it sees is one of the most fascinating goals in our current research. To this end, we develop novel methods for Semantic Mapping and Semantic SLAM by combining object detection with simultaneous localisation and mapping (SLAM) techniques.We work on novel approaches to SLAM that create semantically meaningful maps by combining geometric and semantic information. Such semantically enriched maps will help robots understand our complex world and will ultimately increase the range and sophistication of interactions …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Mapping the world: understanding the environment through spatio-temporal implicit representations
Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Augmented reality (AR) applications for robotic scene understanding
Augmented reality (AR), or mixed reality, has become a mature technology with many possible practical applications in manufacturing, retail, navigation and entertainment.We're interested in using AR to support human-robot interaction. In this project, you'll investigate how a human can use AR to better understand how a robot perceives the world and to understand the robot's intentions.
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Advanced artificial intelligence based ultrasound imaging applications
Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Characterising the effect of the lunar cycle on soundscapes
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
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