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Found 9 matching student topics

Displaying 1–9 of 9 results

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species including penguins, seabirds, invertebrates, mosses, and marine species interact in food webs which can be modelled as mathematical networks. These networks can be large, span across terrestrial and marine systems, and are changing in response to environmental changes.These ecological networks can be modelled using differential equation predator prey models like Lotka-Volterra to describe these interactions. However, the relationships between species are not always known, or …

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

Spatial statistics for microchemical maps of rocks

Synchrotron X-ray Fluorescence Microscopy (XFM) provides exceptionally detailed, large multi-element microchemical maps of thin rock specimens. Together with conventional optical and electron-beam imaging methods, XFM maps permit novel insights into coupled mass transfer processes at the grain scale controlling important Earth processes such as earthquake formation, volcanism, reactive fluid flow, and CO2-sequestration.However, to this date, most scientific work using XFM is mostly qualitative and does not make full use of the statistical information that can be obtained from the data. …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Seasonal analysis in R

Many health conditions are seasonal and understanding the seasonal patterns can help better understand the causes of disease. This project will examine an existing and popular set of R programs used to statistically model seasonal patterns, and examine where the code could be improved. The outcome will be a new and improved version of the software, with the student as a co-author.

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Public Health and Social Work
Research centre(s)
Centre for Data Science

Designing interactive art experiences that engage people with the issues around aged care

BackgroundThis PhD, concerned with the creation of interactive art works and funded through an ARC/QUT scholarship, is part of a larger ongoing project: ARC Discovery DP210100589 "Amplifying the Impact of the Royal Commission into Aged Care" (CI's Miller, Holland-Blatt, Thompson Seevinck, Gott.)About the Discovery project (the PhD study context)"The Royal Commission into Aged Care Quality and Safety is a singular opportunity to reform Australian aged care and redress the marginalisation of aged care residents—a vulnerable demographic whose voices too often …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Computational models for fractional dynamical system for Vacation Research Experience Scheme (VRES)

In recent years, fractional models have attracted considerable interest because of their ability to model many phenomena. This proposal aims to study novel numerical methods of fractional partial differential equations and application.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Programming polymers

Radical polymerisations play a key role in both commercial and fundamental research (45% of all world polymer production, 100 million tons per year). However, radical polymerizations still suffer from synthetic drawbacks like all-carbon polymer backbones, which largely prevent their (bio)degradability. We will develop a polymerization technique that allows to incorporate

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Second Wind: Extending official wind records with citizen science observations

High-quality observations are the cornerstone of meteorology and climate science. Personal weather stations (PWSs) from 'citizen scientists' have the potential to fill some of the large observing gaps between official measurement stations and to contribute additional observations.The challenge is that observations from citizen science stations are not quality assured, and garbage in equals garbage statistical inference out. Work is needed to verify citizen science wind observations to make the data suitable for use in fields such as statistical post-processing, data …

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

SECAN - Semi-continuum method software improvement and comparison with other bridge deck analyses

There exist a number of methods for bridge deck analysis, e.g. grillage analysis, finite element analysis.SECAN is a software based on Semi-continuum method for bridge deck analysis. Its latest version is developed using MicrosoftVisual Studio. This project aims to improve the software for comparison with other bridge deck analyses.

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

GPU acceleration for the lattice Boltzmann method

The lattice Boltzmann method has recently gained popularity for modelling complex fluid​ dynamics including in microfluidics and bio-engineering. The method is computationally expensive, especially for 3D calculations.The aim of this project is to benchmark the open-source TCLB code for the Lattice Boltzmann method against the codes currently used here at QUT to model flow phenomena. We particularly want to leverage the GPU capabilities of the TCLB code to reduce computational time.

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

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