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 216 matching student topics
Displaying 205–216 of 216 results
Using agricultural waste and organic amendments for sustainable agriculture and soil health
Optimising the application rates of organic amendments in agricultural soils is one of the most promising and practical solutions to reduce nitrogen (N) losses into the environment while maintaining an economically-adequate crop production.Organic amendments alone often don't meet the crop's needs. Consequently, a supplementary application of N synthetic fertiliser is needed in conventional farming systems to meet perceived production needs.Accounting for the amount of plant-available N (PAN) released by organic amendments and combining this with N-fertiliser will:ensure N demands of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Developing optimal management approaches to sustain the Great Barrier Reef
The Great Barrier Reef is under significant threat from climate change.There are many options for management approaches to help sustain the reef, and many more are being developed. However, optimally planning these management actions is a difficult mathematical problem as they need to deploy over a large scale. This results in long timeframes for developing and executing these actions.This project will involve adapting the Modern Portfolio Theory to develop optimal management approaches to sustain the Great Barrier Reef.Modern Portfolio Theory …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
The effect of information representation on the success of crowdfunding campaigns
Crowdfunding provides a unique opportunity to acquire financial resources online and is often used by entrepreneurs aiming to finance a project or a venture by parties. These investors make their funding decision based on the crowdfunding campaign entailing a textual description and a video pitch. This research seeks to determine which financial information should be included in the campaign, how this information should be presented, and how it affects the judgment and decision making of the potential investors. Detailed insights …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
From feedback loops to actionable insights: system dynamics modelling for sustainable energy systems
Energy systems are becoming increasingly complex, shaped by fluctuating renewable supply, evolving user behaviour, and dynamic market structures. To navigate this complexity, system dynamics (SD) modelling (Sterman, 2000) offers a powerful lens to understand and influence the behaviour of energy systems over time. By visualising and simulating feedback loops, stock–flow structures, and interdependencies (Fang et al., 2018), SD modelling can help generate actionable insights for designing resilient, adaptive, and user-centred energy solutions.This project explores how SD modelling can support innovation …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Energy Transition Centre
Facilitating Towards Sustainable Electric Vehicles Trading System
The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
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
Detecting metabolic regime switching using dilution-resolved growth data: mathematical modelling, statistical inference and uncertainty quantification
Microbial populations rarely grow according to a single fixed physiological program. As nutrients are consumed, waste products accumulate and environmental stress changes, cells can transition between distinct metabolic regimes associated with growth, maintenance, fermentation, respiration and survival. These transitions are biologically important and industrially relevant, but they are often difficult to detect directly from standard growth curve summaries such as maximum growth rate, lag time, carrying capacity or area under the curve.This project will develop new mathematical and statistical methods …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
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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