Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
Modelling, Design and Development of a Novel Wave-Energy Converter. Australia has an abundant source of wave-energy commercially untapped due to technical limitations of current wave-energy devices. This project aims to develop a novel wave-energy converter (WEC) that integrates energy capture and electricity generation through a single mechanism. This novel WEC can overcome or significantly reduce the drawbacks of existing WECs, is compact and light-weight (about 30 times less), ensures surviva ....Modelling, Design and Development of a Novel Wave-Energy Converter. Australia has an abundant source of wave-energy commercially untapped due to technical limitations of current wave-energy devices. This project aims to develop a novel wave-energy converter (WEC) that integrates energy capture and electricity generation through a single mechanism. This novel WEC can overcome or significantly reduce the drawbacks of existing WECs, is compact and light-weight (about 30 times less), ensures survivability, and has low-cost installation and maintenance. The project expects to deliver novel theoretical results in fluid-structure interaction, control systems and electrical conversion for WECs and other applications. The WEC will be demonstrated via a tested proof-of-concept physical model.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100674
Funder
Australian Research Council
Funding Amount
$370,237.00
Summary
New Frontiers in Large-Scale Polynomial Optimisation. Polynomial optimisation is ubiquitous in many areas of engineering and applied mathematics. The mathematical methods and algorithms used for polynomial problems of large size are not sufficiently developed, limiting their applicability for real-world problems. This project aims to develop a mathematical foundation and computational methods for large-scale polynomial optimisation. By using an innovative combination of a novel theory of algebra ....New Frontiers in Large-Scale Polynomial Optimisation. Polynomial optimisation is ubiquitous in many areas of engineering and applied mathematics. The mathematical methods and algorithms used for polynomial problems of large size are not sufficiently developed, limiting their applicability for real-world problems. This project aims to develop a mathematical foundation and computational methods for large-scale polynomial optimisation. By using an innovative combination of a novel theory of algebraic geometry and convex optimisation, this project expects to generate new knowledge and tools for solving these problems. Anticipated outcomes include a new generation of large-scale optimisation technologies, providing significant benefit to Australia's industries and international research standing.
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Discovery Early Career Researcher Award - Grant ID: DE240100627
Funder
Australian Research Council
Funding Amount
$436,250.00
Summary
Topological phonons in solids. This project aims to create a complete list of possible topological phonons in time-reversal-invariant systems via symmetry analysis, to determine ideal topological phononic materials, and to study topological phonon-related properties and possible applications. The significant outcomes of this project will be the generation of new knowledge that will help conclude the search for novel topological phonons and the prediction of novel topological phononic materials b ....Topological phonons in solids. This project aims to create a complete list of possible topological phonons in time-reversal-invariant systems via symmetry analysis, to determine ideal topological phononic materials, and to study topological phonon-related properties and possible applications. The significant outcomes of this project will be the generation of new knowledge that will help conclude the search for novel topological phonons and the prediction of novel topological phononic materials based on the complete classification list of topological phonons. The outcomes of this project should unlock the physics of the exotic topological phonons and lay a solid foundation for applying topological phononic materials based on their unprecedented properties.Read moreRead less
2D Multiferroics: From Materials Design to Device Conceptualization. This project aims to design new transistors with high efficiency and low energy costing for the storage applications based on two-dimensional multifunctional heterostructures. Extensive computational simulations and joint experiments will be employed to develop fundamental knowledge essential to understanding the phenomena of magnetoelectric coupling, which is used to guide rational device design and implementation. The designe ....2D Multiferroics: From Materials Design to Device Conceptualization. This project aims to design new transistors with high efficiency and low energy costing for the storage applications based on two-dimensional multifunctional heterostructures. Extensive computational simulations and joint experiments will be employed to develop fundamental knowledge essential to understanding the phenomena of magnetoelectric coupling, which is used to guide rational device design and implementation. The designed magnetoelectric heterostructures and the multiferroic devices are expected to provide strong foundations for technological innovations resulting in devices with superior functionality and efficiency. The outcome of the project will significantly benefit high-tech electronics.Read moreRead less
Advanced refractory alloy components for aerospace and energy sectors. This project aims to employ state-of-the-art alloy modelling and a new additive manufacturing approach to fabricate advanced alloy components with superior high temperature and chemical properties. Components will be manufactured from both existing and completely new alloys. Expected outcomes include stronger and more damage resistant high temperature parts for high-speed aerospace vehicles, and more stable corrosion resistan ....Advanced refractory alloy components for aerospace and energy sectors. This project aims to employ state-of-the-art alloy modelling and a new additive manufacturing approach to fabricate advanced alloy components with superior high temperature and chemical properties. Components will be manufactured from both existing and completely new alloys. Expected outcomes include stronger and more damage resistant high temperature parts for high-speed aerospace vehicles, and more stable corrosion resistant alloys for application in molten salts. The project expects to increase our sovereign capabilities in advanced alloy component manufacture, for the benefit of sectors including high-velocity aerospace, defence and molten salt-based energy storage and power generation.Read moreRead less
Development of a novel best approximation theory with applications . The aim of this project is to develop an innovative best approximation theory for complex fractional boundary value problems with discontinuities and with no compactness, and then apply the theory to study two classes of complex partial differential equation boundary value problems with industrial applications. The work will lead to the development of a new theory and a suite of innovative analytical and computational methods f ....Development of a novel best approximation theory with applications . The aim of this project is to develop an innovative best approximation theory for complex fractional boundary value problems with discontinuities and with no compactness, and then apply the theory to study two classes of complex partial differential equation boundary value problems with industrial applications. The work will lead to the development of a new theory and a suite of innovative analytical and computational methods for solving a wide range of nonlinear problems with singularities and non-local properties. The expected outcomes of the project will significantly advance our methods for the modelling and control of many industrial systems and processes.
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