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Found 41 matching student topics

Displaying 25–36 of 41 results

Vegetation modelling for wildlife conservation and bushfire monitoring

Modelling vegetation using video captured from drones is a valuable component of conservation. Working as part of a team you will use existing imagery to create detailed vegetation models for ecological analysis. You will then use these models to address important questions around the impacts of bushfires and interactions between vegetation and wildlife.

Study level
PhD, Master of Philosophy, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

Contact line dynamics and healing liquid films

One of the more challenging aspects of modelling fluid dynamics is the contact-line problem: how does a contact line (a junction between two different fluids and a solid) move over time? A variety of models exist, such as disjoining pressure models, Navier slip models, and the imposition of a prewetting film, to name a few.In this project we will explore the behaviour of these different contact line models in the context of closing or healing liquid films. A hole in …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Image-based computational model to predict intracranial aneurysm rupture

Intracranial aneurysms are bulging, weak areas of an artery that supply blood to the brain which are relatively common. While most aneurysms do not show symptoms, 1% spontaneously rupture which can be fatal or it can leave the survivor with permanent disabilities. This catastrophic outcome has motivated surgeons to operate on approximately 30% of aneurysms despite their rate of complications arising and cost of operation.The impact of aneurysm morphology on blood flow shear stress and rupture could educate surgical decision-making …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

Image-based assessment of atherosclerotic plaque vulnerability: Towards a computational tool for early detection and prediction

Plaque characteristics and local haemodynamic/mechanical forces keep changing during plaque progression and rupture. Quantifying these changes and discovering the progression-stress correlation can improve our understanding of plaque progression/rupture. This will lead to a quantitative assessment tool for early detection of vulnerable plaques and prediction of possible ruptures. Our research project aims to combine medical imaging, computational modelling, phantom experiments and pathological analysis to investigate plaque progression and vulnerability to rupture in both animal models and patients with carotid stenosis. We …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

Experimental and numerical microfluidics

Miniaturisation is one of the most important current drivers for chemical and biological processes involved in gas sensing, water purification, cell culture and separation, and micro-reactors, among others, as it contributes to reducing costs while increasing performance and efficiency. The manipulation of small amounts of fluids at the microscale (microfluidics) offers several advantages such as speed, precision and control of those physical processes and holds the potential to deliver transformative technology capable of achieving fast, accurate and economical industrial solutions.With …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Red blood cell modelling

Red blood cells (RBCs) require high deformability to sustain their passage through narrow capillaries of the microvasculature, which is primarily influenced by mechanical and geometrical factors of the cell. Ageing of the cell, several diseased conditions and some extracellular conditions adversely affect the cell morphology and deformability leading to cell rupture during micro-circulation and vesiculation (i.e. the process of removal of defective patches of the RBC membrane forming spherocytes that is associated with the loss of both RBC membrane and …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Mathematical modelling of ecosystem tipping points in Antarctica

Slight variations in the seasonal timing of Antarctic ice melt can drastically shift the composition of local shallow-water ecosystems from being dominated by invertebrates to algae instead. Such "tipping point" events may become commonplace in the future due to climate change, not just in Antarctica but in many ecosystems worldwide.This project seeks to develop mathematical models of the interactions between Antarctic environmental conditions and the local shallow-water ecosystem states. These models could then be used to make predictions about the …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Mathematical modelling of ecosystem feedbacks and value-of-information theory

Ecosystems respond to gradual change in unexpected ways. Feedback processes between different parts of an environment can perpetuate ecosystem collapse, leading to potentially irreversible biodiversity loss. However, it is unclear if greater knowledge of feedbacks will ultimately change environmental decisions.The project aims to identify when feedbacks matter for environmental decisions, by generating new methods that predict the economic benefit of knowing more about feedbacks. Combining ecological modelling and value-of-information theory, the outcomes of these novel methods will provide significant and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Modeling Australian rainfall extremes using extreme value methods

To mitigate the risk posed by extreme rainfall events, we require statistical models that allow us to extrapolate outside the range of our observed data into the tail of our distribution and to estimate the probability of record events we are yet to observe.For this type of statistical analysis, we typically use methods from extreme value theory. The challenge for modelling rainfall extremes using many of these extreme value methods is that there exists a gap between theory and practice. …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Modeling roost selection by flying foxes in Moreton Baty region

Study level
Honours
Faculty
Faculty of Business and Law
School
School of Accountancy

Conservation is a noisy business: modelling the effects of stochasticity on wildlife management decisions

To conserve species in disturbed natural environments, we need to use mathematical models to predict the consequences of different interventions. Unfortunately, these models are based on partial information of complex systems, and the systems themselves are subject to substantial observational and process noise.We often use ordinary differential equations to describe ecosystems, like the classic logistic growth model:dn/dt = r n (1 - n / k)However, these models are deterministic, and they assume we know the values of the key parameters …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Designing efficient sampling algorithms for ensemble ecosystem modelling

This project seeks to use a combination of matrix algebra and advanced Monte Carlo methods for rare-event simulation to identify efficient algorithms for ensemble ecosystem modelling in large ecosystems. This project has the potential to significantly change the methods that researchers useto investigate complex ecosystems for the purposes of environmental management and future predictions.Ensemble ecosystem modelling (EEM) is a novel and increasingly popular method for generating predictions of future species abundance in complex ecosystems represented by generalisations of the Lotka-Volterra …

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

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