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 44 matching student topics
Displaying 25–36 of 44 results
Optimising landfill leachate treatment with innovative bioreactors
Landfill leachate, a highly polluted liquid, can pose serious risks to the environment and public health if not treated effectively. Without proper management, it can contaminate groundwater and surface water, threatening ecosystems and water resources.This project focuses on using innovative bioreactors to treat landfill leachate efficiently and sustainably. By optimizing these reactors, we aim to remove harmful pollutants like ammonia, addressing a key challenge in managing high-strength wastewater. Your work will contribute to practical solutions for real-world environmental problems.
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
The human factors in self-service technology
Organisations are increasingly moving toward self-service technology (where consumers deliver services themselves using technological interfaces). While this increases organisational efficiencies, it has the potential to significantly impact customer engagement with the organisation. We're seeking a Masters or PhD student to investigate the human factors involved in self-service technology delivery: How do situational factors impact consumers' adoption of self-service technologies? What motivators and inhibitors impact self-service technology usage? Do consumers always respond appropriately within self-service environments? The successful applicant for this …
- Study level
- PhD, Master of Philosophy
Multiscale technology assessment of emerging CCUS processes
CO2 capture and utilisation is a promising, emerging climate technology. However, there is a great deal of uncertainty regarding its viability and economic impact. This project will be conducted in collaboration with an industry partner.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Hostile Interaction Design
Hostile interaction design has emerged as a critical issue in contemporary digital environments, where design decisions increasingly prioritise institutional and corporate interests over the needs of users and citizens. Drawing parallels to hostile architecture—where physical spaces are designed to control behaviour, such as anti-homeless spikes or uncomfortable public seating—hostile interaction design manifests in digital systems as frustrating, impersonal, or obstructive experiences. These designs often shield corporations and governments from accountability, erecting barriers that prevent users from seeking help, lodging complaints, …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- Digital Media Research Centre
Design Lab
Development of a machine learning algorithm for high throughput cell response data in drug therapy
High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Computer Science
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Understanding local government artificial intelligence policy landscape
Artificial intelligence (AI) is driving transformation across all areas of society today. An umbrella term encompassing a range of technologies both sophisticated and simple that are used to make predictions, inferences, recommendations, or decisions with data. AI is used in many products and services that people use, interact with, or are impacted by every day. It already in place of local government and assisting government officials in providing services effectively and conduct their activities more efficiently to the public. The …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Emerging technologies and data-driven learning in engineering education
This research topic explores the use of emerging technologies and data‑driven approaches to enhance learning and teaching in engineering education. The project investigates how diverse educational data sets can be leveraged to support evidence‑based decision making across multiple levels of the institution—from individual educators and course teams to faculty leaders and senior executives. The work sits at the intersection of engineering education, learning analytics, and strategic use of educational data to improve student engagement, experience, and success.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Data Science
AI-Based Data Analysis on Multiple Imaging Modalities
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. According to the World Health Organization (WHO), it is estimated CVD takes 17.9 million lives every year. In Australian, the statistical data from the Australia Heart Foundation shows CVD is a major cause of death in Australia. It occupies 26% of all deaths, responsible for an average 118 deaths every day. Four of the main types of CVD are coronary heart disease, strokes and transient ischaemic attack, peripheral …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Advanced artificial intelligence based ultrasound imaging applications
Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Comparison of output from collocated solar systems of different technology
Solar panel efficiency is calculated using standardised testing conditions, allowing like-for-like comparison of systems under the same conditions. However, data collected over a three year period from two collocated solar systems of different technologies are showing unexpected results. The most efficient system's yearly output is comparatively lower. Initial data analysis explains some differences from the operational conditions, but further investigation is required.
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
-
Centre for Clean Energy Technologies and Practices
Culture and corruption risks in local government: the role of technology in detecting fraud
A recent investigation by the Crime and Misconduct Commission found serious fraud and corruption across a number of Queensland city councils. This included inappropriate relationships between the Council and the private sector, in particular property developers and improper use of power and influence for personal benefit by elected councilors.This project investigates how council employees and councillors avoid detection under existing accounting controls, and how they can be strengthened. We will focus on the latest technologies for detecting financial misconduct and …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Transforming wastewater treatment with anaerobic granular sludge technology
Are you interested in solving real-world environmental challenges? Wastewater treatment is essential for protecting the environment, and anaerobic granular sludge technology is at the forefront of creating sustainable solutions. Think of it as using natural microorganisms to clean water in an energy-efficient way, while also recovering valuable resources like nutrients and energy.In this project, you’ll dive into how anaerobic granular sludge works - tiny but powerful clusters of microbes that improve wastewater treatment by breaking down pollutants. This cutting-edge technology …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
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