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 133–144 of 239 results
Interpretable software vulnerability detection using deep learning techniques
Software vulnerabilities have been considered as significant reliability threats to the general public, especially critical infrastructures. Many approaches have been proposed to detect vulnerabilities in source code to avoid any damages they pose when exploited. Conventional approaches include static analysis and dynamic analysis. Static analysis uses pre-defined patterns or vulnerability dataset to scan and examine software source code to identify potential vulnerable code snippets. These patterns are manually crafted or identified by software developers or security experts, which are time-consuming. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Understanding user behaviour in virtual power plant (VPP) communities
Virtual power plants (VPP) provide a viable solution to integrate intermittent renewable energy sources into the grid, where a transition from centralized to decentralized energy distribution can provide economic and ecological benefits and facilitate citizen empowerment and a sense of community. However, consumers are reluctant to adopt distributed energy systems such as rooftop solar panels and household and community battery storage, which provide electricity generation and storage technologies that are located close to the point of use, as opposed to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Process Mining Infrastructure In Haskell
In process mining, sequence analysis algorithms are used to discover computational models of process data, and to analyse them. The insights from these models and analysis then improve the processes in organisations in many real-life domains - from manufacturing, to government, to healthcare. Haskell is a powerful functional programming language well suited to problems involving formal reasoning and pattern matching. This project would advance process mining research by building high-quality, high performance libraries in Haskell for fundamental process mining activities …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Decision optimisation in energy supply chain
this project aims to develop integrated forecasting and decision optimisation models for renewable energies.
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Tailoring novel separator for high performance aqueous zinc metal batteries
Developing sustainable and clean energy sources (e.g., solar, wind, and tide energy) is essential to achieve the goal of carbon neutrality. Due to the discontinuous and inconsistent nature of common clean energy sources, high-performance energy storage technologies are a critical part of achieving this target. Aqueous zinc metal batteries with inherent safety, low cost, and competitive performance are regarded as one of the promising candidates for grid-scale energy storage. However, zinc metal anodes with irreversible problems of dendrite growth, hydrogen …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
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
Convergence of virtual reality (VR) and digital twin technologies to enhance energy resilience
A convergence of virtual reality (VR) and digital twin technologies can provide multifaceted benefits like digital learning processes, generating a collaborative ecosystem between technological and human assets (Martínez-Gutiérrez et al., 2023). When digital twins are adopted, they can provide sustainable energy solutions, such as energy efficiency optimisation or renewable energy integration (Coelho et al., 2024).In this project we investigate the adoption of digital twins and how this can drive the sustainable energy transition in VR environments from a cognitive computing …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Understanding public perceptions of the sustainable energy transition: a social network analysis
The challenge to keep global warming to 1.5°C above pre-industrial levels has become even greater due to a continued increase in greenhouse gas emissions (IPCC, 2023). One major challenge is the shift from fossil fuels to renewable energy to reduce emissions (Gholami et al., 2016). The share of renewable energy in electricity generation has increased to 28.3%, however, an acceleration of the pace of the transition is required to limit global temperature rise (REN21, 2022).In this project we investigate public …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Gamification and serious games to encourage behavioural change in energy consumption
Games have become an integral part of our lives, which is why they are increasingly being used for other purposes than pure entertainment, such as learning, training, informing, or advertising (Degirmenci, 2017). While gamification uses game elements in non-game contexts, serious games are full-fledged games, both aiming to create meaningful engagement and foster desired behaviours (Degirmenci, 2023; Degirmenci and Breitner, 2023).In this project, we investigate how gamification and serious games can help to encourage behavioural change in energy consumption to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
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Centre for Behavioural Economics, Society and Technology
Climate justice: analysing eco-equity in the energy market
Climate justice aims at sharing the benefits and burdens of climate change equitably between individuals and communities, regardless of their socioeconomic status, geographic location, or other demographic factors (Upham et al., 2022). Yet, ethnic minority populations are disadvantaged, for example, with rising energy costs and limited access to renewable energy sources, such as African Americans in the United States (Nature Energy Editorial, 2020) or Aboriginal and Torres Strait Islanders in Australia (Cain, 2024).In this project, we analyse eco-equity as a …
- 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
2032 Brisbane Olympic Games: how can we achieve climate-positive urban objectives?
Brisbane is the first host city to be contractually bound to deliver a climate-positive Olympic Games in 2032 (Queensland Government, 2023). Most of the 8,000-megawatt coal plants are expected to close by 2032, which requires a viable and sustainable transition to renewable energies (Simshauser, 2024).In this project, we investigate how digital energy services and analytics (DESA) can help a sustainable energy transition for a climate-positive 2032 Brisbane Olympic Games.ReferencesQueensland Government. (2023). All Queensland. All in. 2032 procurement strategy. https://www.forgov.qld.gov.au/__data/assets/pdf_file/0011/404030/Q2032-procurement-strategy.pdfSimshauser, P. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Trust in renewable energy
Trust is a complex, multi-dimensional concept that plays an essential role in any context where there is interaction among different parties. Three dimensions are integral for a profound understanding of trusting beliefs: competence, integrity, and benevolence (Mayer et al., 1995). Due to the contingencies and dynamics of the renewable energy transition, trust is a critical factor in communities (Walker et al., 2010).In this project, we investigate the multiple dimensions of trust in the context of renewable energies and provide recommendations …
- 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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