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 342 matching student topics
Displaying 13–24 of 342 results
Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students
Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Teacher Education and Leadership
Wearable neuro-imaging and spatial experience
Our built environment changes our brain function. There is considerable interest from many research fields upon the positive and negative health and wellbeing effects of our environments. This research area explores how architectural environments and spaces impact experience and mood using wearable brain-imaging technology.
- Study level
- PhD, Master of Philosophy
- School
- School of Architecture and Built Environment
Search and retrieve with a fully autonomous aerial manipulator
The aim of this PhD is to develop an autonomous multirotor based aerial manipulator that is capable of searching an environment, visually identifying a payload, and performing a pick and-place type maneuver. Full 3D trajectories for the search stage of the flight need to be predefined, with the grasping maneuver generated dynamically once the payload is identified. The manipulator and payload interactions with the multirotor base need to be actively compensated for by the controller to ensure stable flight during …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Hearing colour and seeing sound – switchable optoacoustic imaging agents
Optoacoustic imaging is a relatively new medical imaging technique. It utilises laser light to excite an imaging agent, which in turn converts this light energy into heat. This heat is dissipated as a sound wave, which can be detected with an ultrasound receiver. This technique aims to overcome the minimal penetration depth of fluorescence imaging, and the lack of molecular specificity of ultrasound.In this project we are aiming to develop and synthesize intelligent imaging agents for optoacoustics, which are able …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Genetics of cardiovascular disease
This research project involves investigating the genetic basis of cardiovascular disease (CVD). The project will focus on the genetically unique population of Norfolk Island. The Norfolk Island Health Study has been running for 20 yrs. Over this time the cardiovascular health of the Islanders has been tracked via the collection of relevant clinical data. In addition whole genome sequence data from the study group has been collected, which will facilitate the discovery of genetic variants that influence CVD phenotypes - …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Genomics and Personalised Health
Designing for individuals: Leveraging advanced manufacturing for customised products
Today’s advanced manufacturing technologies offer a unique opportunity for moving away from mass production towards mass customisation in consumer products. This presents a prospect for creative practitioners to examine their role and how their expertise align with these technologies, allowing for design innovation to drive mass customisation and establishing industrial designers as a critical stakeholder within this paradigm shift in production.
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
Evidence-Based Teaching in Economics and Business
Evidence-based teaching (EBT) refers to “the conscientious, explicit, and judicious integration of best available research on teaching technique and expertise within the context of student, teacher, department, college, university, and community characteristics” (Groccia & Buskist 2011). In practice, EBT involves educational practices derived from empirical data that show a well-established association with improved course grade, student feedback, and course-driven learning goals. Literature on EBT is growing but there is little on the impact of EBTs on students, academics as well …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
Explainable AI-enabled predictive analytics
Modern predictive analytics underpinned by AI-enabled learning (such as machine learning, deep learning) techniques has become a key enabler to the automation of data-driven decision making. In the context of process monitoring and forecast, predictive analytics has been applied to making predictions about the future state of a running process instance - for example, which task will be carried out next, when and who will perform the task, when will an ongoing process instance complete, what will be the outcome …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Building explainable and trustworthy intelligent systems
Existing machine learning-based intelligent systems are autonomous and opaque (often considered “black-box” systems), which has led to the lack of trust in AI adoption and, consequently, the gap between machine and human being.In 2018, the European Parliament adopted the General Data Protection Regulation (GDPR), which introduces a right of explanation for all human individuals to obtain “meaningful explanations of the logic involved” when a decision is made by automated systems. To this end, it is a compliance that an intelligent …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Overcoming the challenges of sensitive data via synthetic data generation (case study)
In the 21st Century, there is an abundance of data, often containing insights that could benefit a number of stakeholders. However, despite this opportunity, it is often the case that the data is sensitive and can not be released by organisations or government agencies due to privacy concerns. One possible solution to the above dilemma is to instead carefully construct a 'twin' data set that contains similar information (and ideally, the same insights) as the original data set, but without …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Multi-modal sentiment analysis
In deep learning models, language models and word embedding methods have become popular to understand the context of text data. Popular language models such as BERT have limitations in terms of the token length. There exist some corpora that have longer text with an average of 1000 tokens. Additionally, these corpora are text-heavy and only include some images.In our prior works, we have developed several multi-modality models on social media datasets.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Evaluation of language models and word embedding methods for natural language processing applications
In deep learning models, language models and word embedding methods have become popular to understand the context of text data. There exist many variants of these methods and have different limitations. This project will introduce you to the hot topic of language models and the fields of Natural Language Processing and Text Mining.
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
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