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 4 matching student topics

Displaying 1–4 of 4 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

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

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

Systematic evaluation towards the analysis of open-source supply chain on ML4SE tasks

Applying machine learning algorithms to source code related SE task is rapidly developing and attracts the attention from both researchers and industry engineers. While there are many program languages available, applying such techniques, i.e., the representation learning models, for different languages may achieve different performance. Particularly, they all have their own strict syntax, which determines the abstract syntax tree. Thus, a lot of different open-source supply chain are available, for example the parsing tools are used to build AST from …

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

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