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 616 matching student topics
Displaying 1–12 of 616 results
Deep Learning for engineering object recognition
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Predicting good sleep using computer science: Can we use machine learning to find out 'what's the best bed?'
In the Westernised world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial determinants of restful sleep in non-pathological, …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Human-centred design of performance wearable devices
Wearable devices are trendy and ubiquitous nowadays. Most people understand what a wearable device is and often think of them as a ‘tracker’ of their physical activities. How does wearable technology help us to support a person’s sense of wellbeing and/or performance? And what are the design specifications that are needed to design such devices.This project is part of a three-year transdisciplinary project that combines science, technology and design fields in the design of a wearable performance device. The purpose …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
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, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Using systems architecture to model neuropathic pain
Neuropathic pain effects '1 in every 10 adults over the age of 30'. The treatments available for neuropathic pain can at best be described as having 'moderate efficacy'. Due to the nature of neuropathic pain, the ability to scientifically study and understand its fundamental causes has been limited to animal models and trials. There are over 27 animal models for neuropathic pain where pain has been induced by macroscopic and microscopic nerve lesions, chemotherapy, viral infections and diabetes mellitus.Looking at …
- Study level
- PhD
- School
- School of Mechanical, Medical and Process Engineering
Engineering response to climate emergency with zero carbon footprint for building construction by 2030 using circular economy principles
We as engineers can make a contribution to address the current climate emergency.The Australian Sustainable Built Environment Council report (2016) found that if Australia's built environment sector reaches zero carbon emissions for the operation of residential and commercial buildings by 2050, it could contribute 28% to the country's 2030 emissions reduction target and save up to AU$20 billion.In this project we will consider the application of the circular economy, which is based on the principles of designing out waste and …
- Study level
- PhD, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Centre for a Waste-Free World
Engineering the prostate tumour microenvironment in organ-on-a-chip systems
Prostate cancer remains one of the leading causes of global death. The tumour microenvironment (TME) including blood vessels, immune cells, fibroblasts, and the extracellular matrix (ECM) possesses disease-specific biophysical and biological factors that are difficult to recapitulate using conventional in vitro cell culture models.The absence of these factors, however, causes cells to display abnormal morphologies, polarisation, proliferation, and drug responses, thereby limiting the ability to translate research findings from traditional cell culture into clinical practice.Recent advances in organ-on-a-chip technology enable …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Engineering bioartificial extracellular tumour microenvironments for Osteosarcoma personalised precision oncology
Osteosarcoma (OS) is the most common malignant bone tumour affecting children and adolescents. Importantly, clinical outcomes have not improved for decades, and bone tumours remain to be a leading cause of cancer-related death in adolescents.By identifying ideal treatment approaches for each individual patient, precision oncology has the potential to significantly improve these outcomes. Yet, its widespread application is hindered by a lack of biomaterials that support the reproducible and robust generation of patient-derived osteosarcoma organoids in vitro.Therefore, this project will …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Engineering Chimeric Antigen Receptor (CAR) T cell for the treatment of cancer
Chimeric Antigen Receptor (CAR) T cells are genetically modified immune cells that can recognise and kill cancer cells. They do so through the CAR, which recognises specific antigens expressed on cancer cells. CAR T cell therapy has emerged as an effective form of cancer immunotherapy in certain types of blood cancers and are now approved for use in patients. However, CAR T cell therapy can only benefit a very small proportion of cancer patients at present because it is very …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Digital twin creation for human robot collaboration research
Collaborative robots and extended reality (XR) technologies are becoming more prevalent in our industries and daily interactions. Advancements in augmented reality and virtual reality provide better options for immersive human-robot interaction experiences.This project will explore the use of digital twin environment to display and allow interaction in real-time with a robot and objects. A digital twin is a digital counterpart of a real physical environment or object.AimsThe aims of our project is to create a digital twin that simulates a …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Developing a precision oncology workflow for Osteosarcoma treatment
Osteosarcoma (OS) is the most common malignant bone tumour that primarily affects children and adolescents. With approximately 400 diagnosed cases/year in Australia, OS has the lowest survival rate of all solid cancers and is the leading cause of cancer-related death in Queensland adolescents. Unfortunately, 3 in 4 patients will not survive longer than five years following diagnosis with metastatic OS. Clinical “one size fits all” treatment strategies results in highly variable and unacceptably poor patient responses. Shockingly, both the OS …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Transport big data analytics: Imputing missing data
The missing data problem is often unavoidable for real-world data collection systems because of a variety of factors, such as sensor malfunctioning, maintenance work, transmission errors, and so on. Filling in missing information in a dataset is an important requirement for many machine-learning algorithms that require a complete dataset as input. Data imputation algorithms aim at filling the missing information in a dataset. Many missing data imputation techniques exist in the literature, with applications demonstrated on various types of datasets. …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
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