The Vacation Research Experience Scheme (VRES) provides eligible students with the opportunity to participate in a research project. If you're interested in research and thinking of pursuing a research degree the scheme is an opportunity to see if research is right for you. Further information about the scheme is available on HiQ.
QUT offers a diverse range of student topics for VRES. Search to find a topic that interests you.
Found 182 matching student topics
Displaying 145–156 of 182 results
Exclusive by Design: Algorithmic Bias and Marginalisation in AI-Augmented Business Processes
Inclusive process design has long been an aspirational goal in BPM, yet the integration of AI into process automation introduces new and systemic risks of exclusion. AI systems trained on historical data embed the structural inequities already present in those datasets, and when deployed within organisational processes such as hiring, welfare, credit, and health triage, these biases are operationalised at scale. Critically, the façade of algorithmic objectivity can mask discrimination, leading both process designers and end-users to uncritically trust biassed …
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre
- Centre for Future Enterprise
The Governance Gap — When AI Autonomy Outpaces BPM Accountability
As AI systems increasingly make or heavily influence process-level decisions within organisations, a critical misalignment is emerging between traditional BPM governance structures and the opacity, autonomy, and adaptability of AI agents. BPM has historically governed process decisions through clearly defined ownership, version control, audit trails, and human accountability. However, when AI-driven automation handles decisions at speed and scale, these governance mechanisms often lag or fail entirely. Research has confirmed that many organisations cannot even produce a complete AI audit trail …
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre
- Centre for Data Science
OVS01 - Investigations of the impact of simulated vision impairment on functional and cognitive performance.
Vision plays a critical role in how people interact with their environment. Reduced vision can increase the difficulty of daily tasks (e.g., reading, navigation), and create greater cognitive load, as the brain must compensate for missing visual information.The aim is to determine how visual impairment affects both functional abilities (everyday tasks) and cognitive performance (mental processes such as attention, memory, and decision-making). Visual impairment will be artificially simulated using occlusion foils, which reduce visual clarity in a graded manner to …
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre
- Centre for Vision and Eye Research
Interrogating Institutional Responses to Black Deaths in Custody in Queensland
The interdisciplinary project investigates systemic racism and institutional violence in coronial inquests into Aboriginal and Torres Strait Islander deaths in custody. This research will privilege Indigenous voices to reimagine justice and develop policy recommendations that reduce harm and prevent future deaths.DECRA - Family Testimony as Black Justice: Interrogating Institutional Responses to Black Deaths in Custody.
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Justice
Development of Magnetocaloric Materials for Energy-Efficient Gas Liquefaction
Hydrogen is expected to play a critical role in the transition to a low-carbon energy future. However, the efficient storage and transportation of hydrogen remain major technological challenges. Liquefaction offers a promising solution due to the high energy density of liquid hydrogen, but current liquefaction technologies are highly energy intensive. Magnetic refrigeration, based on the magnetocaloric effect, has emerged as a potential alternative that could significantly improve the efficiency of cryogenic cooling and hydrogen liquefaction.This project will investigate advanced magnetocaloric …
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre
- Centre for Materials Science
Understanding Training Data BIas
Machine Learning and Artificial Intelligence models require large-scale datasets to learn their behaviours. Many of these systems are trained as a decision or recommendation systems, predicated on the belief that they will be free from human bias and provide a rational, explainable decision-making process. There are two issues with these assumptions: first, many of these systems are "black-box" systems, and their behaviour and "reasoning" are opaque. Secondly, the focus of this project is that if these systems are trained using …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre
- Centre for Data Science
Building a Black Justice Journalism
This interdisciplinary project argues for a new form of scholarly journalism, grounded in conceptions of Black Justice, as a critical intervention needed to address the ongoing media misreporting of Indigenous affairs. It will interrogate the field of journalism ethics, arguing that accepted norms of journalistic practice compound harm and restrict the voices of Black Witnesses. In doing so, it will aim to build an ethics of practice in the form of Black Justice Journalism which will be disseminated to the …
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Communication
ECMO Clinical Training Model
Venoarterial Extracorporeal Membrane Oxygenation (VA-ECMO) is a mechanical support therapy for patients with critical heart and lung dysfunction. VA-ECMO supports the body by temporarily functioning as the heart and lungs while a patient undergoes treatment or awaits an organ transplant. However, VA-ECMO is incredibly challenging to implement quickly as it involves femoral cannulation. The procedural complexity often leads to complications and ~50% mortality rate. We have engineered a portable, mannequin-integrated training model offering a functional and human-like environment where clinicians …
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre
- Centre for Biomedical Technologies
Medical Physics Research in Radiotherapy Optimisation and Monte Carlo Simulation
This project is situated within the field of medical physics, focusing on the optimisation and modelling of radiotherapy treatments. The work spans both macroscopic treatment planning and microscopic radiation interaction modelling, making it inherently interdisciplinary, integrating physics, computational science, engineering, and health sciences.Projects may involve the use of the matRad MATLAB-based toolkit for advanced treatment planning and optimisation, as well as TOPAS and TOPAS‑nBio Monte Carlo simulation frameworks to investigate radiation transport and biological effects across different spatial scales.The topic …
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre
- Centre for Biomedical Technologies
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 …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre
- Centre for Data Science
Evaluating multivariate optimal sample allocation tools
To support producing representative statistics the ABS conducts surveys from the Australian population of both people and businesses. A random subset/sample of the population is drawn from these populations to collect data from.To most effectively utilise these samples the ABS uses a multivariate optimal allocation tool. This tool allocates sample to draw from subgroups of the population (‘strata’). For example, it determines how many businesses to sample for the Retail industry compared to Hospitality. This optimisation considers constraints such as …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre
- Centre for Data Science
Web-scraping for business information
National Statistics Offices (NSOs) have used web-scraping to collect information on the prices of goods and services for some time now. However, some work is now being done by European NSOs on using web-scraping for collecting other kinds of statistical information on businesses. The aim of this project is to investigate the feasibility of using this approach in Australia.The initial part of the project would be to review the methods and approaches developed in Europe and to assess how applicable …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre
- Centre for Data Science
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If you have questions about the Vacation Research Experience Scheme (VRES), the application process, finding a topic or anything else, get in touch with us today.