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 215 matching student topics
Displaying 181–192 of 215 results
Datafication and the construction of education policy discourse: a computational text analysis of generative AI in education
Datafication and generative artificial intelligence are increasingly shaping how education policies are constructed, understood, and governed. Computational text analysis offers new ways to explore these developments and examine the evolving discourses surrounding education policy.
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Education
Energy transitions in the food sector: how AI shapes consumer behaviour over time
Energy transitions are often studied in sectors such as transport (e.g. electric vehicles) and housing (e.g. solar panels, batteries), where decisions are relatively infrequent, highly deliberative, and associated with clear long-term payoffs. In contrast, food consumption represents a fundamentally different energy-relevant sector: decisions are made daily or even multiple times per day, involve low deliberation, and prioritise immediate outcomes such as convenience, cost, and taste (Reisch, 2021). These characteristics make food systems particularly susceptible to short-term decision-making, where long-term energy …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
Energy Transition Centre
Bridging the gap: leveraging AI to improve healthcare access
Access to quality healthcare remains a significant challenge in many parts of the world, often due to geographic and financial barriers. This research explores how artificial intelligence (AI) can address the challenges of geographic and financial barriers in accessing healthcare. The project will focus on developing AI-powered solutions that enhance healthcare delivery, increase patient engagement, and reduce costs
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
Big data analysis to aid ecological research
We're looking for multiple students to help us answer the question: 'How can we utilise information technology to aid ecological research?'Sensor networks bring ecologists and pattern recognition researchers together to make some applications possible. These applications include assessing risks from potential bird collisions, unobtrusive observations (where the presence of humans changes some animal behaviours) and studying spatial and temporal variation in biological processes.With a significant amount of data being collected from these applications, processing and mining this data is challenging. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Australia's urban and regional atmosphere: investigating influences on air quality
Global concern about urban air quality has been steadily increasing in recent years. However, most studies on the factors influencing air quality have focused on heavily polluted regions or locations in the Northern Hemisphere, where weather patterns, industrial activity, and vegetation differ significantly from those in Australia.Historically, urban areas in Australia have enjoyed relatively good air quality. Yet, rising population density, deforestation, and land use changes are placing increasing pressure on this status. Furthermore, the natural emissions from Australian vegetation …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Enhancing clinical decision-making through AI-assisted agents
Artificial Intelligence (AI) has shown tremendous potential in revolutionizing healthcare delivery. This research focuses on developing AI agents that can augment clinical decision-making processes, ultimately improving patient outcomes. The project aims to explore and design novel AI architectures that integrate disparate medical data sources, providing context-aware recommendations for diagnosis, treatment planning, and care coordination. Despite the promising applications of AI in healthcare, significant challenges remain in integrating these technologies into clinical practice effectively and safely.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
Combining solar and vibration energy harvesting for rainfall prediction
Rainfall prediction plays a crucial role in various sectors such as agriculture, water resource management, and disaster preparedness. Traditional prediction methods often rely on complex meteorological models and expensive equipment. However, advancements in energy harvesting technology offer the opportunity to develop low-cost and sustainable solutions for rainfall prediction.This project proposes to leverage solar and vibration energy harvesting for rainfall prediction. Combined measurements from both solar and vibration energy harvesting can provide comprehensive data for real-time monitoring of cloud coverage and …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Semantic SLAM for robotic scene understanding, geometric-semantic representations for infrastructure monitoring and maintenance
Making a robot understand what it sees is one of the most fascinating goals in our current research. To this end, we develop novel methods for Semantic Mapping and Semantic SLAM by combining object detection with simultaneous localisation and mapping (SLAM) techniques.We work on novel approaches to SLAM that create semantically meaningful maps by combining geometric and semantic information. Such semantically enriched maps will help robots understand our complex world and will ultimately increase the range and sophistication of interactions …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Keeping carbon – ensuring soil carbon gains through improved grazing management persist through drought in Australia's tropical and semi-arid grasslands
Drought is the biggest barrier to sequestering soil organic carbon (SOC) in soils over the long-term. While options are limited during dry periods, how we manage our pastures prior to drought can influence the resilience of SOC to losses and enhance recovery.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
The efficacy of Mental Health First Aid (MHFA) training in community sport
Organised sport is primarily community based in Australia; and the benefits of sport participation to individuals and communities are well documented. However, there is also evidence that participating in organised high-performance sporting programs is associated with psychological distress, elevated relative to community norms, which would usually warrant a need for care by a health professional. As such a case for improvement in mental health education and practice in sporting communities exists.Mental Health First Aid (MHFA) is a standardised, psychoeducational programme …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Exercise and Nutrition Sciences
Characterisation of melanoma cell membranes to identify novel drug targets
Cell membrane structure and function are altered during tumour development, but to date comprehensive studies on the characterisation of cell membranes of a given cancer are scarce, or are only focused on a particular property (e.g. overall charge, global lipid composition, or specific lipid). In preliminary work we compared the lipidome (i.e. the lipid profile) of a panel of cells, and found the lipid composition of model melanoma cells to be distinct from that of other cancerous and non-cancerous cells. …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Development of peptides as therapeutics to treat drug-resistant metastatic melanoma
Melanoma is a very aggressive cancer due to its metastatic potential, and the third most common in Australia. Many patients with metastatic melanoma have strong side effects, do not respond, or develop resistance to current therapies, which results in low survival rate (26% in 5-years). This project aims at developing a new class of therapeutic leads to tackle drug-resistance in metastatic melanoma.Currently, the preferred first-line regimen given to patients with metastatic melanoma is immunotherapy with antibodies (i.e. ipilimumab and nivolumab), …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
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