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 3 matching student topics
Displaying 1–3 of 3 results
Analysing the oceanographic variables that generate and mobilise coral rubble on the GBR
There is increasing concern on the effects of global warming and how it is increasing the frequency and severity of disturbance events on the Great Barrier Reef (GBR), an enduring living structure on our planet. For example, the intensity and frequency of tropical cyclones is likely to increase and this will also reduce the time available for coral reefs to recover.Moreover, there are other factors that contribute to the vulnerability of coral to mechanical breakage, such as crown of thorns …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Real-time control of nature-based solutions for multi-benefit water management
Nature-based solutions (NBS) such as wetlands, green roofs, and bioswales, are critical for sustainable urban water management. However, their benefits (flood mitigation, water quality improvement, biodiversity support) are often siloed or under-optimised.This PhD project will pioneer adaptive, real-time control strategies for NBS to maximise their environmental, social, and economic co-benefits. The research integrates sensor data, predictive modeling, and smart control systems to dynamically adjust NBS operations in response to weather, pollution events, and community needs.This project merges cutting-edge technology with …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Sensor network optimisation for illicit discharge detection in stormwater systems
Illicit discharges into stormwater networks threaten waterways, but current detection methods are often inefficient. This project develops a smart sensor network to identify and locate pollution sources in real time. The PhD will focus on:optimal sensor placement: algorithms for location, type, and density selectionreal-time alarm systems: fast, reliable detection to trigger inspections or robotic trackingscalability: cost-effective strategies for city-wide deployment.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
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