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 239 matching student topics
Displaying 229–239 of 239 results
Real-time Business Process Integration in the Industrial Internet of Things (IIoT) for Industry 4.0
The vision of Industry 4.0 is to support business capabilities at the edge. The Industrial Internet of Things (IIoT) enables this vision by integrating IoT with Enterprise Systems (ESs). In an IIoT process, sensor applications at the edge require seamless integration with the software services of ESs. This, in turn, facilitates the real-time correlation of sensor events with BPs. However, existing IIoT architectures lack the necessary architectural capabilities to reflect the true essence of Industry 4.0.This research aims to develop …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
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
Enabling effective novice-expert interactions: co-designing immersive systems for complex remote data analysis
This student research topic focuses on exploring and developing immersive systems that facilitate interactions between novice and expert users in the context of complex remote data analysis. The goal is to design and prototype innovative solutions that enhance the collaboration, learning, and training aspects of data analysis tasks.The research will involve investigating various immersive technologies and their potential application in bridging the gap between novice and expert users, enabling effective knowledge transfer and skill acquisition.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Functional characterisation of putative salicylic acid hydroxylases from banana (Musa spp.)
Bananas (Musa spp.) are one of the most important fruit crops worldwide and are consumed by millions of people as a staple food. However, bananas are under threat from a wide range of fungal, bacterial and viral diseases which significantly impact their production and quality. Salicylic acid plays a key role in plant-microbe interactions and acts as a vital component in systemic acquired resistance (SAR), enabling plants to mount a long-lasting defence response against a wide range of pathogens. In …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Characterisation of anthocyanin-biofortified Cavendish bananas
Anthocyanins are a class of water-soluble flavonoids responsible for the vibrant red, purple, and blue colours found in many fruits, vegetables, and flowers. Due to their colours and antioxidant properties, they offer several benefits to plants such as attracting pollinators, protecting against abiotic stress such as UV radiation and against biotic stresses such as pests and diseases. Consuming anthocyanin-rich crops, such as berries, grapes, and purple vegetables, is associated with various health benefits, including reduced risk of chronic diseases. These …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Automation/RPA in Healthcare
Investigate the potential applications of RPA/ Process Automation in the healthcare sector. Explore how RPA/Process Automation can streamline administrative tasks, improve patient data management, enhance healthcare delivery processes, and support clinical decision-making. Address the challenges and opportunities of implementing RPA in highly regulated environments like healthcare.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Ethical and Legal Implications of RPA and Enterprise Automation
Examine the ethical and legal implications of RPA/Enterprise Automation adoption in organisations. Research can focus on addressing issues such as data privacy, transparency, accountability, and the impact of RPA/Automation on human employment, culture, and structure.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
Human-Robot Collaboration
Study the dynamics and challenges of human-robot collaboration in the context of RPA and Business Process Automation. Explore ways to design collaborative interfaces, communication protocols, and decision-making frameworks that enable seamless interactions between human workers and automation robots (RPA), leading to efficient and effective task completion.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
Digital Leadership Competencies for AI Adoption
Identify the specific competencies and skills that leaders need to effectively lead AI adoption initiatives in organisations. Research can focus on areas such as data literacy, AI literacy, critical thinking, decision-making, and the ability to manage and interpret AI-driven insights. Develop frameworks for assessing and developing these competencies in leaders.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
The Impact of AI on Leadership Roles and Structures
Examine how the introduction of AI technologies reshapes traditional leadership roles and organisational structures. Investigate the evolving nature of leadership in decentralised, AI-driven decision-making processes and explore how leaders can effectively adapt to new leadership paradigms.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
Epitaxial growth of 2D heterostructures for two dimensional electronics
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
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