Discovery Early Career Researcher Award - Grant ID: DE240101049
Funder
Australian Research Council
Funding Amount
$432,485.00
Summary
Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumou ....Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumour, (2) novel models for the diffusion of an evolving rumour, and (3) techniques for detecting the diffusion sources of the original rumour and its mutations. This not only will constitute a major advancement in the theory and application of rumour study but also lead the decision-makers in debunking rumours.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101467
Funder
Australian Research Council
Funding Amount
$419,778.00
Summary
The geometric structure of spatial noise. Spatial noise is ubiquitous in nature and science: as interference in medical imaging, in oceanography, in the modelling of telecommunication networks etc. Despite this diversity of sources, spatial noise can be studied in a unified way by considering mathematical models that capture its essential features. This project aims to study spatial noise by analysing its geometric structure, for instance by considering the number of contour lines of the noise, ....The geometric structure of spatial noise. Spatial noise is ubiquitous in nature and science: as interference in medical imaging, in oceanography, in the modelling of telecommunication networks etc. Despite this diversity of sources, spatial noise can be studied in a unified way by considering mathematical models that capture its essential features. This project aims to study spatial noise by analysing its geometric structure, for instance by considering the number of contour lines of the noise, and the way these lines connect different regions of space. The project further aims to apply this analysis to construct statistical tests that can distinguish different classes of spatial noise, with potential applications across all of the disciplines mentioned above.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101683
Funder
Australian Research Council
Funding Amount
$448,354.00
Summary
Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, ....Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, and uncertainty in a nondeterministic context. The study is expected to establish novel design methodologies for ceramic AM with process modelling, robust/reliable optimisation, and fracture-based design. It will provide ceramic industry with a new framework for biomedical, aerospace and mechanical applications.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101676
Funder
Australian Research Council
Funding Amount
$435,690.00
Summary
Machine learning-based design of triply periodic minimal surface structures. This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal triply periodic minimal surface structures, considering fabrication-induced ....Machine learning-based design of triply periodic minimal surface structures. This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal triply periodic minimal surface structures, considering fabrication-induced defects and uncertainty. The expected outcome of this project is new methodologies for generating eco-friendly structures with robust mechanical properties in crashing applications. This should provide significant benefits to transport industries by enhancing structural safety and energy saving for next generation vehicles.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101106
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Experimental and numerical studies on internal erosion of granular soils. This research aims to improve our understanding of the mechanisms involved in internal erosion in soil that can trigger instabilities and damage in large scale infrastructures. Specifically, influences of morphology features, at both grain and structure scales, and applied stress on the initiation and evolution of internal erosion will be clarified, to predict where and when the catastrophic failure happens. The proposed p ....Experimental and numerical studies on internal erosion of granular soils. This research aims to improve our understanding of the mechanisms involved in internal erosion in soil that can trigger instabilities and damage in large scale infrastructures. Specifically, influences of morphology features, at both grain and structure scales, and applied stress on the initiation and evolution of internal erosion will be clarified, to predict where and when the catastrophic failure happens. The proposed proposal will not only surely benefit a broad range of science and engineering communities, but also directly address the second most urgent problems, 'soil and water', in Australia, by rephrasing the Australia standards or guidelines for construction, surveillance, and decommissioning of civil engineering structures.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101681
Funder
Australian Research Council
Funding Amount
$457,139.00
Summary
Cryo-electron microscopy determination of G protein-coupled receptor states. This project aims to address fundamental knowledge gaps in understanding of the molecular mechanisms of peptide hormone G protein-coupled receptor activation. This will be achieved through cryo-electron microscopy determination of the structure and dynamics of key intermediate states in activation. Novel biochemical approaches will be applied to capture these states, using as exemplar the glucagon receptor that has a br ....Cryo-electron microscopy determination of G protein-coupled receptor states. This project aims to address fundamental knowledge gaps in understanding of the molecular mechanisms of peptide hormone G protein-coupled receptor activation. This will be achieved through cryo-electron microscopy determination of the structure and dynamics of key intermediate states in activation. Novel biochemical approaches will be applied to capture these states, using as exemplar the glucagon receptor that has a broad range of pharmacological tools to facilitate isolation of distinct functional states. The knowledge gained from these studies will advance fundamental understanding of physiologically important receptor activation and efficacy, while the approaches developed will enable similar investigation of other receptor classes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101031
Funder
Australian Research Council
Funding Amount
$458,120.00
Summary
Defining the structural basis of lipid mediated T cell immunity. This project aims to undertake discovery research to investigate the molecular mechanisms underpinning the role of lipids in T cell immunity: an emerging area of immense biological significance. The anticipated goal is to generate new knowledge in the areas of the life sciences, by using a multidisciplinary approach that includes structural biology, mass spectrometry, biophysics, and cellular immunology, to gain fundamental insight ....Defining the structural basis of lipid mediated T cell immunity. This project aims to undertake discovery research to investigate the molecular mechanisms underpinning the role of lipids in T cell immunity: an emerging area of immense biological significance. The anticipated goal is to generate new knowledge in the areas of the life sciences, by using a multidisciplinary approach that includes structural biology, mass spectrometry, biophysics, and cellular immunology, to gain fundamental insight into molecular determinants that govern lipid mediated immunity. Expected outcomes and benefits of this project include building international and interdisciplinary collaborations to enhance national research capacity, and provide marked advancement of core knowledge in the biological sciences.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100896
Funder
Australian Research Council
Funding Amount
$427,008.00
Summary
How to beat model uncertainty with more information. Experience of the 2008 financial crisis exposed a weakness in our over-reliance on mathematical models. The main aim of this project is to develop mathematical tools to investigate the role of information in reducing model uncertainty. The project will undertake pressing research in robust finance, which is now one of the most active and dynamic topics in financial mathematics. It expects to quantify the value of information under uncertainty ....How to beat model uncertainty with more information. Experience of the 2008 financial crisis exposed a weakness in our over-reliance on mathematical models. The main aim of this project is to develop mathematical tools to investigate the role of information in reducing model uncertainty. The project will undertake pressing research in robust finance, which is now one of the most active and dynamic topics in financial mathematics. It expects to quantify the value of information under uncertainty in mathematical modelling. It will generate new knowledge in probability theory and stochastic processes providing a significant mathematical contribution in its own right.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100892
Funder
Australian Research Council
Funding Amount
$419,889.00
Summary
Next-generation, prefabricated, modular, solar heating and cooling system. This project aims to develop a new window design that can reduce the heating of buildings caused by the sun in warm weather and reduce heat loss from buildings in cool weather. This project expects to generate new knowledge on the interaction between solar radiation and the convection of air inside a cavity within the window design. The expected outcome is a framework that can be used to optimize window designs for buildi ....Next-generation, prefabricated, modular, solar heating and cooling system. This project aims to develop a new window design that can reduce the heating of buildings caused by the sun in warm weather and reduce heat loss from buildings in cool weather. This project expects to generate new knowledge on the interaction between solar radiation and the convection of air inside a cavity within the window design. The expected outcome is a framework that can be used to optimize window designs for buildings under various weather conditions. This should allow quick and easy fabrication and implementation of the designs in existing and new buildings, and the windows should significantly reduce building heating and cooling costs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101382
Funder
Australian Research Council
Funding Amount
$425,775.00
Summary
Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local reso ....Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local resonators coupled with vibration energy harvesting mechanisms and nonlinear electrical circuitry. This will promote the development of next-generation multifunctional metastructures. Knowledge produced should improve the durability of structural components and empower sustainable wireless monitoring with self-powered sensors.Read moreRead less