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 181 matching student topics
Displaying 145–156 of 181 results
Robotic intention visualisation
Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Recovery of metal halide perovskite precursors from Australia sources
Investigate, model and experiment on the extraction and recovery of cations and anions, used in the synthesis of perovskite solar cells, from Australian resources.Australia has the potential to lead globally in supplying precursor materials for next-generation metal halide perovskite solar cells, leveraging its abundant critical minerals and strong mineral processing capabilities with an innovative 'mineral to precursor to final product' strategy.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Consumer reactions to voice-based AI
Artificial intelligence increasingly allows marketers to manipulate video and audio materials in a manner that has been restricted to still pictures in the past. Yet little is known about how consumers engage with and react to marketing content that consumers know has been manipulated in this fashion. For instance, for whom, when and why do interactions with voice-based AI (e.g. Google Duplex, Healed through A.I.) reduce purchase intentions. Building on research from interpersonal interactions (Lechner & Mathmann, 2020) and motivational …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
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
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
Therapeutic opportunities targeting epigenetic-metabolism crosswalks in cancer
Epigenetic and metabolic pathways in cancer cells are highly interconnected. Epigenetic landscape in cancer cells is modified by oncogene-driven metabolic changes. Metabolites modulate the activities of epigenetic modifying enzymes to regulate the expression of specific genes. Conversely, epigenetic deregulation that occurs in cancer affect the expression of metabolic genes, thereby altering the metabolome. These changes all coordinately enhance cancer cell proliferation, metastasis and therapy resistance.The overall aim of the project is to understand the link between the activity of epigenetic …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical 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
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