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 542 matching student topics

Displaying 73–84 of 542 results

Multi-objective optimisation models for forecasting and decision-making in supply chains and energy systems

This PhD project will focus on developing and evaluating multi-objective optimisation models that simultaneously optimise forecasting accuracy and operational decisions in complex systems.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

AI-driven process redesign

This research aims to transform how organisations improve business processes by integrating artificial intelligence with real-time data. Existing process redesign approaches are often static, retrospective, and reliant on manual analysis. While process mining is commonly used to extract insights from historical data, these methods rarely incorporate AI models to support continuous, real-time process adaptation. As a result, they fall short of enabling intelligent, self-adaptive process management.This research addresses these limitations by proposing an AI-assisted, self-adaptive framework that combines historical and …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Object-centric process mining

Object-Centric Process Mining (OCPM) is an emerging paradigm in process analytics that addresses the limitations of traditional process mining by enabling the analysis of complex, multi-entity business processes. Unlike conventional approaches that focus on a single case notion (e.g., an order or a patient), OCPM allows for the simultaneous tracking and analysis of multiple interacting objects—such as orders, customers, products, and invoices—within a unified process model.This research project explores the theoretical foundations, algorithmic developments, and practical applications of OCPM. It …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Development of foam concrete for fire-resistant walling elements

The need for fire safe buildings has emerged due to the increase in bushfires in many parts of the world. The walls are considered important as they act as barriers to fire propagation. This project will investigate the fire resistant performance of blocks made of foam concrete to construct internal and external wall panels for buildings against standard fire and bushfire resistance.The performance will be summarised based on the elevated thermal properties of foam concrete at the material level and …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science

Bushfire building risk assessment using advanced technologies

Bushfires often have detrimental impacts on both the natural and built environments. Although current building standards are in place to reduce the influence bushfire has on new buildings, existing and older residential properties are more susceptible to bushfire ignition.Identifying and restoring the most vulnerable features in existing properties can assist in reducing the property damage caused by bushfires. Implementing new technology into these risk assessments of existing bushfire-prone properties can reduce the time required and lower costs.As part of this …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
QUT Resilience Centre
Centre for the Environment

From digital design to human-robot collaborative masonry construction

This project addresses Queensland's critical housing shortage by exploring the productivity benefits of human-robot collaboration (HRC) in masonry construction. The research is conducted within the Building 4.0 CRC framework and leverages advanced facilities at QUT alongside industry partners such as Brickworks and the ARM Hub.By integrating collaborative robots (cobots), augmented reality (AR), parametric design tools (e.g. Grasshopper 3D), and AI algorithms, we aim to develop innovative workflows that enhance construction efficiency and material performance through the use of novel binders.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment
Research centre(s)
QUT Resilience Centre

Uptake of electric vehicles: the case of Australia

The uptake of electric vehicles is on the rise. This study undertakes a literature review of papers published on electric vehicles with a view to identify factors that influence their uptake and data sources. This information will then be used to develop a model to identify factors that are influencing the uptake of electric vehicles in Australia on a state basis and propose strategies that can further increase their uptake in the country. Policy implications of this new development in …

Study level
Honours
Faculty
Faculty of Business and Law
School
School of Economics and Finance

Water living lab: flood modelling and visualisation

Smart use of rich data sets and state-of-the-art models in a central framework provides opportunities to address problems that were previously out of reach. This is particularly true in managing and responding to flood scenarios where an integrated platform can gather forecasted and measured weather and streamflow data and use those data in foresting systems, enabling an integrated visualisation platform for data sharing and real-time decision making.The water engineering research team is developing analytical and visualisation frameworks that can support …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

Addressing Australia's affordable housing demand through industrialised construction

Australia is facing an intense housing crisis. Access to affordable housing has sharply declined. Moreover, the average rental vacancy is at historically low, at around 1% in major cities. The Australian government has unveiled ambitious plans to boost housing supply by building thousands and thousands of new homes within the next 10 years. However, the construction industry's capacity is severely constrained to build and supply such as the local industry relies mostly in traditional in-situ construction methods and techniques.This research …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Supply chain vulnerabilities and risks in major infrastructure projects: future proofing Australia's construction supply chain

The repercussions of COVID-19 pandemic, Ukraine war and the conflicts in the Middle East has caused global supply chain disruption. Australia is particularly vulnerable to supply chain disruption due to its unique geographic location, construction environment and dwindling manufacturing base.Significant cost overruns, project delays, productivity decline and compromised quality products and facilities have become norm rather than exception. We have a huge demand for major infrastructures including those needed for the Brisbane 2032 Olympic. Future proofing the construction supply chain …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Resilience of Queensland's housing stocks to natural hazards

With changing climate, rapid population growth/movement, aging population and economic disparity, our housing stocks are increasingly becoming more prone to natural hazards such as flooding, bushfires, extreme heat, and cyclones. We have been witnessing increased frequency of such events and their disproportional impact on housings, related infrastructure, environment, economy, and the livelihood of people.By leveraging UN disaster risk reduction frameworks and other national and Queensland specific frameworks, this research will assess the resilience and vulnerability of public and social housing …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

AI in construction

AI has been impacting businesses and professionals in unprecedented ways. This project will investigate how AI is impacting construction planning, management and execution of construction projects both in positive and negative ways and how Australian construction firms and professionals can better prepare themselves to ride with it.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

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