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.

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Found 210 matching student topics

Displaying 121–132 of 210 results

Strengthening security for cloud computing applications

In today's digital landscape, applications are increasingly being deployed on cloud platforms, offering benefits such as streamlined management and cost-effectiveness. However, even with the efforts of cloud providers to deliver reliable services, the risk of runtime failures and faults still exists. This project aims to address this challenge by exploring innovative approaches to detect and mitigate errors that occur during the operation of cloud-based applications. By proactively identifying and resolving runtime issues, we can enhance the overall performance, reliability, and …

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

Cybersecurity for open-source software using machine learning and AI

People are increasingly using open-source software in businesses and industries. These software programs are made by a community of developers and are managed by platforms like PyPI and npm. However, there is a worry about the safety of these programs because hackers add harmful code to compromise security and steal important data. This project explores approaches to detect harmful open-source projects using machine learning and AI.

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

Facilitating Towards Sustainable Electric Vehicles Trading System

The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …

Study level
Honours
Faculty
Faculty of Science
School
School of Information Systems

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

MyFootCare - designing technology with people with diabetic foot ulcers

Every day in Australia:50,000 people are suffering with a diabetic foot ulcer (DFU)1,000 are in hospital because of a DFU12 will undergo an amputationfour people will die with a DFU.A key challenge to healing DFUs is effectively engaging people in their independent self-care away from the clinic. To date, self-care of people with DFU has been reported to be universally low. This project seeks to address the challenge of low adherence to self-care amongst patients with DFUs.The main innovation of …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Avatar customisation for diversity training in virtual reality

Avatar representation is found to be crucial for user engagement in various types of applications and user identifications with avatars. This project aims to design and develop an environment where users can customize their avatars by looking at a virtual mirror. In this project, where users will be trained in diversity awareness, it is crucial for them to feel like the character who is in the scenario. The outcome of the project will be used in experiments to test the …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

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

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