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 417 matching student topics
Displaying 61–72 of 417 results
Assessment of non-linear dimension reduction methods for calculating a SEIFA-like index
This project would involve applying one or more non-linear dimension reduction methods to Census 2021 data to calculate an index similar to the Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) from the Socio-Economic Indexes For Areas (SEIFA). Some information and recommendations for the specific non-linear dimension reduction methods will be supplied as the output from an earlier project.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Explainability of outlier detection methods
Outliers are anomalous observations in a data set that are "outside the norm" of what would be expected. Identifying outliers is an important part of exploratory data analysis and data analysis in general. It is often a challenging problem and calls for advanced methods and approaches, including machine learning-based tools. As methods become more and more complex, their explainability becomes more difficult and more important. This research project will look at all aspects of explainability and explore new approaches and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Assessing the quality of cluster analysis
Machine learning cluster methods are common classification methods, but methods for assessing performance are limited as are methods for explaining how they work. Exploring methods for both assessing and explaining performance are the subject of this research with application to real-world contexts with the Australian Bureau of Statistics.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Targeting a novel adaptive neovascular response of the tumour microenvironment to treat advanced prostate cancer
Prostate cancer (PCa) is a significant healthcare burden in Australia. Androgen signalling inhibition using androgen receptor (AR) antagonists is the principal systemic therapy for advanced PCa. Androgen receptors (AR) are an attractive therapeutic target due to their elevated expression in tumour epithelial cells and the retention of androgen signalling throughout the disease continuum.However, patients eventually develop resistance to treatment, and PCa cells metastasise to distant bone and visceral organs, representing an incurable stage of the disease. Understanding mechanisms that contribute …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Digital inclusion and participation
Working in partnership with industry, government and community organisations, the Digital Inclusion and Participation research program within QUT's Digital Media Research Centre uses innovative digital ethnographic and co-design methods to understand, intervene, and advocate for digital access and literacy as vital elements of social inclusion.We help equip citizens and consumers with the knowledge and skills to confidently, effectively and ethically navigate the increasingly complex digital media environment; and we deliver actionable new knowledge of the structural conditions and circumstances that …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Communication
- Research centre(s)
- Digital Media Research Centre
An airway chip for screening viral infection mediated immune responses
Respiratory infections such as influenza, SARS-COV-2, , and MERS are increasingly prevalent. Complications and related deaths arising from these infections are often the result of a “cytokine storm”, whereby there is an over production of proinflammatory soluble factors by immune cells, which dictates symptoms severity and mortality risk [1]. Recent works showed that immunomodulatory therapy with or without antiviral agents may improve recovery outcome. However, the screening of suitable immune-modulatory and antiviral agents relies heavily on animal models which cannot …
- Study level
- PhD, 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
Optimisation of piezoelectric materials for robotics applications
Piezoelectricity, which translates to “pressure electricity”, is the phenomenon in which certain materials convert mechanical energy to electrical energy, and vice versa. Such materials are common-place and are used in a variety of applications including sensor, actuator, and energy harvesting technologies. The capabilities of such piezoelectric materials have not yet been fully realised. We plan to use computational structural optimisation to design new piezoelectric materials and components that may contribute to novel sensing technologies for robotics applications. Essentially, robots need …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Modelling the deformation of bacteria on nanopatterned surfaces
The antibacterial mechanism of nanopatterned surfaces promises to be a valuable tool in the fight against implant infection, fomite transmission and antibiotic resistance. This mechanism is principally physical in nature, arising from the deformation of the bacterial envelope upon contacting the nanopatterned surface.To enhance understanding of the mechanism, this project will involve modelling the deformation of gram-negative and gram-positive bacterial envelopes using finite element analysis in ABAQUS. The key aims of the modelling are to identify locations of critical stress/stress …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Finite element modelling of 3D auxetic structures
Protection of structures has become a priority for saving lives and preventing structural collapses caused by increased natural or man-made disasters. Most injuries and mortalities in these disasters are caused due to fragmentation of structures, and therefore, structural protection through systems that can absorb more energy and effectively contain the fragments (debris) are needed. Additive manufacturing (such as 3D printing) can be used to develop special geometries called auxetic geometries and composites using sustainable bioplastics which can absorb shock energy …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Kidnapped robot in a digital twin environment
Mobile robots are starting to be commonly used in manufacturing environments but they often get confused when they are switched on and off regarding where they are and what they should be doing. This is known as the 'kidnapped robot' problem, where the robot is to re-localise itself each time it is rebooted or a new task is presented.The advent of 'digital twins' has enabled a robot to build a map of its environment, which can aid in its localisation. …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
SleepBeta: co-designing technology with young adults to promote healthy sleep
The aim of the SleepBeta project is collaborate with young adults to promote healthy sleep. Sleep, together with healthy diet and exercise, is a key pillar for a healthy lifestyle. It is important to feeling well and to performing well at school and in university. However, young adults often have unhealthy sleep habits due to stress caused by exams, leisure activities and work commitments, and digital technologies used at night-time. Over the last few years, we explored different sleep and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
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