Discovery Early Career Researcher Award - Grant ID: DE130100819
Funder
Australian Research Council
Funding Amount
$281,600.00
Summary
Measuring the improbable: optimal Monte Carlo methods for rare event simulation of maxima of dependent random variables. Some events occurring with low frequency can have dramatic consequences: natural catastrophes, economic crises, system malfunctions. Estimating their probabilities is a very difficult problem. This project will develop new simulation methods capable of delivering the most precise and efficient estimators for the probabilities of such events.
Beyond Planarity: Algorithms for Visualisation of Sparse Non-Planar Graphs. This project aims to develop new efficient algorithms to enable analysts to visually understand complex data and detect anomalies or patterns. It aims to develop visualisation algorithms for sparse non-planar graphs arising from real-world networks. Specifically, the project plans to investigate structural properties of sparse non-planar topological graphs such as k-planar graphs, k-skew graphs, and k-quasi-planar graphs ....Beyond Planarity: Algorithms for Visualisation of Sparse Non-Planar Graphs. This project aims to develop new efficient algorithms to enable analysts to visually understand complex data and detect anomalies or patterns. It aims to develop visualisation algorithms for sparse non-planar graphs arising from real-world networks. Specifically, the project plans to investigate structural properties of sparse non-planar topological graphs such as k-planar graphs, k-skew graphs, and k-quasi-planar graphs, and design efficient testing algorithms, embedding algorithms, and drawing algorithms. These algorithms will be evaluated with real-world social networks and biological networks. New insights into the mathematical interplay between combinatorial and geometric structures would provide a theoretical foundation for a new generation of complex network visualisation methods with potential applications in social networks, systems biology, health informatics, finance and security.Read moreRead less
Using 3D printing technology to develop architecturally-controlled synthetic bone substitutes. With the ageing population, there is increasing demand for synthetic materials that can regenerate bone. However, purely synthetic bone-substitute biomaterials cannot regenerate large bone defects in weight-bearing conditions due to their fragility. This project aims to develop a customisable, biodegradable, biocompatible and mechanically strong and tough scaffold that overcomes this long-standing prob ....Using 3D printing technology to develop architecturally-controlled synthetic bone substitutes. With the ageing population, there is increasing demand for synthetic materials that can regenerate bone. However, purely synthetic bone-substitute biomaterials cannot regenerate large bone defects in weight-bearing conditions due to their fragility. This project aims to develop a customisable, biodegradable, biocompatible and mechanically strong and tough scaffold that overcomes this long-standing problem. The project aims to achieve this by applying an innovative combination of cutting-edge 3D printing technology, advanced computational modelling and design techniques to produce a next-generation bioceramic scaffold with optimised architecture. This approach aims also to enable the possibility of producing custom-made implants for individual requirements.Read moreRead less
A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optima ....A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optimal design and experimental validations. It will accelerate the design of these new carbon-based fibres as game-changing materials in a wide range of areas. Ultimately this project has the potential to deliver significant economic benefits and will place Australia at the forefront of the industrial revolution of the future.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL190100014
Funder
Australian Research Council
Funding Amount
$2,871,982.00
Summary
New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an ....New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an unprecedented cloud-based interactive design tool, and a novel minimum-waste manufacturing technology for fabricating mass-customised building components. This project will transform the architecture, engineering and construction (AEC) sector and make the Australian manufacturing industry more competitive globally.Read moreRead less
The mechanical and electrical behaviour of boron nitride nanotubes: Insight from in-situ transmission electron microscopy investigation. Boron nitride nanotubes are an emerging class of inorganic nanotubes with insulating property, exceptional thermal stability, high thermal conductivity, and superior mechanical properties including ultrahigh strength and elastic modulus which are not possible in conventional materials. This project aims to apply state-of-the-art in-situ transmission electron mi ....The mechanical and electrical behaviour of boron nitride nanotubes: Insight from in-situ transmission electron microscopy investigation. Boron nitride nanotubes are an emerging class of inorganic nanotubes with insulating property, exceptional thermal stability, high thermal conductivity, and superior mechanical properties including ultrahigh strength and elastic modulus which are not possible in conventional materials. This project aims to apply state-of-the-art in-situ transmission electron microscopy techniques to explore the dependence of mechanical properties on size, morphology and structure of boron nitride nanotubes and the effect of mechanical strain on electrical properties, which will provide opportunities for composite materials reinforcement via nanotubes, and tune the electronic and optoelectronic properties of nanotubes via strain engineering.Read moreRead less
Dislocation motion and anelastic recovery in layered ceramic titanate. This project aims to research deformation and facture in brittle ceramic nanowire materials and anelastic behaviour in tensile deformation. Layered sodium titanate is used in energy storage and water treatment, but in-situ tensile tests have observed unconventional deformation behaviour, with significant dislocation motion and anelastic recovery. This project will study the deformation mechanism in layered sodium titanate nan ....Dislocation motion and anelastic recovery in layered ceramic titanate. This project aims to research deformation and facture in brittle ceramic nanowire materials and anelastic behaviour in tensile deformation. Layered sodium titanate is used in energy storage and water treatment, but in-situ tensile tests have observed unconventional deformation behaviour, with significant dislocation motion and anelastic recovery. This project will study the deformation mechanism in layered sodium titanate nanowires through molecular dynamics simulations, empirical interatomic potential, and in situ TEM experiments. Expected outcomes include knowledge of the deformation mechanism of this layered titanate which can be broadened to technologically important layered ceramic materials.Read moreRead less
The effect of structure and size on the mechanical behaviour of III-V semiconductor nanowires. The project aims to apply in-situ deformation transmission electron microscopy to investigate the mechanical behaviour of compound semiconductor nanowires and the effect of structure and geometry on the behaviour. The results will uncover the fundamental mechanical properties of nanowires and will guide the design of nanowire-based devices.
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less
Semiparametric Regression for Streaming Data. Semiparametric regression converts large and complex data-sets into interpretable summaries from which sound decisions can be made. This project tackles semiparametric regression analysis of streaming data - where the data are so voluminous that they may not be storable in standard computer memory and therefore need to be processed rapidly on arrival and then discarded. Effective solutions necessitate a rethinking of semi-parametric regression and ne ....Semiparametric Regression for Streaming Data. Semiparametric regression converts large and complex data-sets into interpretable summaries from which sound decisions can be made. This project tackles semiparametric regression analysis of streaming data - where the data are so voluminous that they may not be storable in standard computer memory and therefore need to be processed rapidly on arrival and then discarded. Effective solutions necessitate a rethinking of semi-parametric regression and new approaches will be developed. The project will also develop novel theory and methodology for robotics applications. It will allow analysis of streaming and massive data sets that would not be possible using currently available methods, opening up new applications.Read moreRead less