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 216 matching student topics
Displaying 97–108 of 216 results
Characterising the role of PARPs in DNA repair and cancer therapy
The genome of our cells is damaged multiple times each day, by various factors including sunlight and reactive oxygen species. In order for the DNA damage response to be efficient, our cells utilise highly coordinated repair pathways that function accurately and rapidly throughout the damaged cell. Cells that do not repair DNA damage correctly will accumulate damage and display increased genomic instability, which is a key hallmark of cancer cells, promoting their survival and rapid growth. DNA repair pathways are …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Curtailing corporate tax aggression through uncertain tax benefits
Over the last five years Australia has adopted numerous measures to address aggressive corporate tax practices. A recent addition to these measures (on the 1st of January 2019) is AASB Interpretation 23 - Uncertainty over Income Tax Treatments, which was developed to clarify the treatment of uncertain tax positions. This interpretation requires entities who produce general purpose financial reports (GPFRs) to disclose uncertain tax benefits (UTB) in the notes to their financial statements. Extant literature suggests that UTB disclosures are …
- Study level
- Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Identifying AI-amenable tasks in the patient care workflow and matching enabling AI technologies
Contemporary patient care is delivered through complex, multi-step workflows that span triage, assessment, diagnosis, documentation, care coordination, treatment, and follow-up. Many steps in these workflows are repetitive, cognitively burdensome, or prone to delays and errors, and a substantial share of clinicians' time is consumed by tasks that require limited clinical judgement, such as documentation, information retrieval, and administrative coordination. Persistent workforce shortages, rising demand, and clinician burnout have intensified interest in whether some of these tasks can be safely delegated …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Data Science
Multi-objective optimisation models for forecasting and decision-making in supply chains and energy systems
This PhD project will focus on developing and evaluating multi-objective optimisation models that simultaneously optimise forecasting accuracy and operational decisions in complex systems.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Supply chain vulnerabilities and risks in major infrastructure projects: future proofing Australia's construction supply chain
The repercussions of COVID-19 pandemic, Ukraine war and the conflicts in the Middle East has caused global supply chain disruption. Australia is particularly vulnerable to supply chain disruption due to its unique geographic location, construction environment and dwindling manufacturing base.Significant cost overruns, project delays, productivity decline and compromised quality products and facilities have become norm rather than exception. We have a huge demand for major infrastructures including those needed for the Brisbane 2032 Olympic. Future proofing the construction supply chain …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Multimodal AI to simulate medical student competency
The assessment of medical graduate competency is a cornerstone of medical education and a critical safeguard for patient safety. Newly qualified physicians must demonstrate a broad range of skills and knowledge, including diagnostic reasoning, clinical decision-making, communication, procedural skills, and professionalism before independently practicing medicine. Traditional assessment methods often include standardized multiple-choice examinations, objective structured clinical examinations (OSCEs), direct observation of procedural skills (DOPS), and portfolio reviews. While these methods offer valuable insights, they have inherent limitations. Standardized tests may …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Data Science
Robotic maintenance of equipment
Think about the problem of maintaining equipment at remote work sites. How can robotic technology help human maintenance staff to work more safely and productively?
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Efficient Parameter Estimation for Stochastic Simulations
Stochastic simulation-based models are routinely used in many areas of science to describe inherent randomness in many real-world systems. Applications include the study of particle physics, imaging if black holes, biochemical processes, the migration of animals, and the spread of infectious diseases. To apply these models to interpret data requires statistical methods to estimate model parameters.Unfortunately, standard statistical techniques are not capable of analysing data using these models. This is largely due to the model likelihood, the probability of the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Development of a Microfluidic Gut-Brain Axis Chip
The gut microbiome refers to the collection of micro-organisms that are living symbiotically in the human or animal gastrointestinal tract (defined as the “microbiota”), their genetic material as well as the surrounding environmental habitat. It is now appreciated that the microbiome plays an important role in human health and diseases. Many neurodegenerative diseases, such as Parkinson's Disease have been linked to dysregulation of the gut microbiota. However, it is difficult to study gut-brain axis using animal models due to inter-species …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Microbiome Research
Making the most of many models
In the age of Big Data, machine learning methods, and modern statistics the adage "all models are wrong but some are useful" has never been so true. This project will investigate data science approaches where more than one model makes sense for the data. Is it better to choose a single model or is there something to be gained from multiple models?This project will look at variable selection methods, penalised regression, Bayesian model averaging and conformal prediction. The research has …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Parameter identifiability for stochastic processes in biological systems
Stochastic models are used in biology to account for inherent randomness in many cellular processes, for example gene regulatory networks. Noise is often thought to obscure information, however, there is an increasing understanding that some randomness contains vitally important information about underlying biological processes.When applying these models to interpret and learn from data, unknown parameters in the model need to be estimated. However, not all data will contribute to a given estimation task regardless of the data quantity and quality. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Modelling and managing uncertain Antarctic species networks
Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species including penguins, seabirds, invertebrates, mosses, and marine species interact in food webs which can be modelled as mathematical networks. These networks can be large, span across terrestrial and marine systems, and are changing in response to environmental changes.These ecological networks can be modelled using differential equation predator prey models like Lotka-Volterra to describe these interactions. However, the relationships between species are not always known, or …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
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