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Displaying 61–72 of 76 results

Adversarial attacks to machine learning based models in cybersecurity

Modern Intrusion Detection Systems (IDSs) rely on machine learning for detecting and defending cyber-attacks in information technology (IT) networks. However, the introduction of such systems has introduced an additional attack dimension; the trained IDS models may also be subject to attacks.The act of deploying attacks towards machine learning based systems is known as Adversarial Machine Learning (AML) [1]. The aim is to exploit the weaknesses of the pretrained model which has “blind spots” between data points it has seen during …

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

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

3D Printing Surgical Education and Training Models

Each year, millions of people suffer from traumatic tissue damage due to cancers, congenital defects or injury. Biofabrication is the rapid 3D printing of replacement tissue and organs that are customised to the specific needs of the patient. This future of manufacturing technology is set to revolutionise regenerative medicine and deliver high quality health outcomes. The Biofabrication and Tissue Morphology group is a world class multi-disciplinary research team focused on embedding biofabrication into routine clinical use. Based at our state-of-the-art …

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

Springbrook groundwater monitoring and modelling (Honours)

There is limited water monitoring occurring in the Gold Coast hinterland. In partnership with the City of Gold Coast, we will be setting up water monitoring networks to improve assessment and management of groundwater resources in this region.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Finite element methods for modelling the deformation of polymers

The finite element method (FEM) is by now a well-established and widely accepted approach for modelling the deformation of linearly elastic materials.>In this project we will explore which FEM approach and constitutive laws may be applicable for modelling polymers, which have more deformation behaviour than a simple elastic material.Our long-term goal is to be able to accurately model the deformation of polymer bioscaffolds fabricated with the novel melt-electrowriting (MEW) additive manufacturing process.

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

New mathematical and computational techniques for modelling with partial differential equations

Mathematical models involving partial differential equations (PDEs) are useful for simulating many important physical processes including heat and mass transfer, groundwater flow, pollutant transport and drug delivery. This project will focus on developing new mathematical and computational techniques to solve, approximate and/or analyse PDE models.Potential project topics include:developing new numerical and/or analytical methods for solving PDE modelsbuilding new reduced-order PDE models that are easier to solve, interpret or analyseextracting insight into time scales of PDE models, such as the amount …

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

Applications of bioinformatics and statistical modelling in genomics and personalised health

Prostate cancer is one of the leading causes of mortality and is the most diagnosed cancer among men in Australia. The identification of novel biomarkers in prostate cancer could be valuable in the design of therapeutics and the identification of their molecular targets. Previous prostate cancer bioinformatic studies have recognised risk-associated genetic components as potential biomarkers.This project will apply statistical and mathematical approaches to identify novel biomarkers in prostate cancer.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Equation learning for partial differential equation models of stochastic random walk models

Random walk models are often used to represent the motion of biological cells. These models are convenient because they allow us to capture randomness and variability. However, these approaches can be computationally demanding for large populations.One way to overcome the computational limitation of using random walk models is to take a continuum limit description, which can efficiently provide insight into the underlying transport phenomena.While many continuum limit descriptions for homogeneous random walk models are available, continuum limit descriptions for heterogeneous …

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

NHMRC Idea Grant: intergenerational living and learning models

This research project acts upon recommendations from the Inquiry into the Quality of Care and Residential Aged Care in Australia IQCRAC (2018) by developing an inter-generational model for senior living within school campuses in consultation with industry partners. The project differs from existing programs by establishing an economic policy-driven 'shared campus facilities and services' approach which is person-centred, health focused and socially inclusive. The model intends to be translatable across diverse Australian contexts, from urban realms where land is limited, …

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

Design Lab

Emergence of curvature-dependent growth in mathematical models of tissue invasion

The growth of biological tissues in 3D-printed scaffold pores occurs under strong geometric controls depending on the shape and size of the pores. How this control emerges from the interaction between spatial constraints and biological processes such as cell migration and cell proliferation remains largely unknown. Existing phenomenological models of tissue growth hypothesise growth laws which directly involve curvature without considering cellular mechanisms.Recently, a reaction–diffusion mathematical model of tissue growth in porous scaffolds was proposed to investigate cell-level behaviour using …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Biomedical Technologies

Springbrook groundwater monitoring and modelling

There is limited water monitoring occurring in the Gold Coast hinterland. In partnership with the City of Gold Coast, we will be setting up water monitoring networks to improve assessment and management of groundwater resources in this region.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Human-in-the-loop techniques to debug machine learning models

Machine learning models are being deployed in critical domains such as healthcare, education and fintech. The current approach to deploying machine learning models is based on considering a data-centric approach where the models are evaluated using performance measures on a test set. However, the high performance of the model on test data is not indicative of its reliability,An important aspect of reliability is in the understanding of what exactly a machine learning model encodes, and to verify if it learns …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

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