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 210 matching student topics
Displaying 205–210 of 210 results
Advanced electron microscopy for sustainable nanocatalysis
The systematic and detailed characterisation of heterogeneous catalysts is critical for design of effective and stable catalytic materials, since it allows one to understand the correlation between their structure and physicochemical properties.Especially, it is important to monitor the structural evolution of catalytic materials and their active sites in a controllable environment and under realistic reaction conditions.Thus, we propose to use a powerful combination of aberration-corrected high-resolution TEM and in situ TEM experiments which allow us to gain extensive knowledge about …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Laser light sensors that see through containers
Raman scattering has been used as a powerful 'fingerprinting' technique for more than 80 years, and is widely used by security and law enforcement for detecting hazardous threats. To better safeguard the community, QUT has developed a unique eye -safe laser Raman sensing system for detecting threats, that works at distance from a target (> 10 m) and operates in real time. Increasingly however, threats are being concealed in order to avoid detection. This project will investigate what range of …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Scheduling of vessel movements in channel constrained ports
International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Development of a 3D Printed Nasal Model to Study Viral-Airway Interactions
As airway infections become pandemic worldwide, airway models to investigate pathogen infection mechanism and nasal drug delivery is now increasingly important. However, current airway models cannot mimic the triad coupling of human nasal anatomical geometries, aerosol flow and biological responses (e.g. infection and inflammation) from the nasal epithelium.Computational fluid dynamics (CFD) models are used for simulating pathological airflow patterns resulting from anatomical structural changes of the nasal cavities, but they cannot measure phenotypic or functional alterations in the nasal epithelium …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Optimal conservation management in uncertain Antarctic environments
Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Modelling and managing uncertain Antarctic species networks
Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
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