Discovery Early Career Researcher Award - Grant ID: DE180100688
Funder
Australian Research Council
Funding Amount
$336,446.00
Summary
Nanosensors in artificial cochlea for natural hearing. This project aims to develop a miniaturised and implantable cochlear that closely mimics the human auditory system by utilising advanced microfabrication techniques. This project expects to generate new knowledge in engineering hearing and vestibular hair cells and also on tonotopic organisation of cochlear. Expected outcomes include study of auditory hair cells and development of implantable ear-on-a-chip devices. This project is expected t ....Nanosensors in artificial cochlea for natural hearing. This project aims to develop a miniaturised and implantable cochlear that closely mimics the human auditory system by utilising advanced microfabrication techniques. This project expects to generate new knowledge in engineering hearing and vestibular hair cells and also on tonotopic organisation of cochlear. Expected outcomes include study of auditory hair cells and development of implantable ear-on-a-chip devices. This project is expected to enable low-cost production of highly engineered implant cochlear with great potential for commercialisation.Read moreRead less
Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distribute ....Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distributed computing environment, and evaluate with a real world social network and biological network data sets. The new algorithms produced by this project will be used in the next generation visual analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge of extreme-scale data.Read moreRead less
Microcantilevers for multifrequency atomic force microscopy. This project aims to design a microcantilever with high-performing sensors more sensitive and with better noise performance than the typical optical system used in commercial Atomic Force Microscopes (AFMs). The AFM, a nanotechnology instrument, uses a microcantilever (with an extremely shape probe) to interrogate a sample surface. It has made important discoveries in nanotechnology, life sciences, nanomachining, material science and d ....Microcantilevers for multifrequency atomic force microscopy. This project aims to design a microcantilever with high-performing sensors more sensitive and with better noise performance than the typical optical system used in commercial Atomic Force Microscopes (AFMs). The AFM, a nanotechnology instrument, uses a microcantilever (with an extremely shape probe) to interrogate a sample surface. It has made important discoveries in nanotechnology, life sciences, nanomachining, material science and data storage systems. Despite its success, the technique’s spatial resolution and quantitative measurements are limited. This project could lead to breakthrough technologies such as atomic force spectroscopy to study elastic modulus of nanostructures, and establish Australia's prominence in this emerging field.Read moreRead less
Improving transient performance for systems with multiple inputs/outputs. This project aims to develop and test new mathematical techniques for the improvement of transient performance in tracking control systems. The fundamental problem to be addressed will be the design of controllers to rapidly track constant and time varying target reference signals without overshooting or undershooting for multiple-input multiple-output systems/plants. These new methods aim to offer improved accuracy and sp ....Improving transient performance for systems with multiple inputs/outputs. This project aims to develop and test new mathematical techniques for the improvement of transient performance in tracking control systems. The fundamental problem to be addressed will be the design of controllers to rapidly track constant and time varying target reference signals without overshooting or undershooting for multiple-input multiple-output systems/plants. These new methods aim to offer improved accuracy and speed in many engineering applications.Read moreRead less
Need for Speed: Towards Controller Design Automation for Power Electronics. This project aims to address the need for advanced controller design automation tools for power electronics systems by advocating a novel design paradigm. The project expects to seek breakthroughs in the modelling and optimisation aspects of power electronics systems and generate new automation tools for existing and emerging power electronics applications. Expected outcome include significant reduction of controller dev ....Need for Speed: Towards Controller Design Automation for Power Electronics. This project aims to address the need for advanced controller design automation tools for power electronics systems by advocating a novel design paradigm. The project expects to seek breakthroughs in the modelling and optimisation aspects of power electronics systems and generate new automation tools for existing and emerging power electronics applications. Expected outcome include significant reduction of controller development cycle time and cost, minimisation of human oversight, and maximisation of system performance. Profound benefits include maintaining Australia’s leadership in a wide range of sectors such as renewable energy and electric vehicles demanding rapid development cycles and realisation of Australia’s zero-carbon vision. Read moreRead less
A coupled finite volume method for viscoelastic flow problems on highly-skewed unstructured meshes: a computational rheology revolution. Commercial tools are unavailable for 21st century industry to analyse complex flow processes involving viscoelastic materials. Using fabrication of microstructured polymer optical fibre as a key case study, a coupled finite volume methodology holds the key for the next generation of computational rheology simulators.
System identification of microstructure in the brain using magnetic resonance. Magnetic Resonance Imaging technologies will be exploited to probe the microstructure of the brain, using powerful Bayesian optimisation techniques and innovative uses of magnetic resonance. The project will in particular develop non-invasive imaging methods to quantify iron content in the brain, important for research on dementia and Alzheimer's disease.
Reliable and efficient algorithms for modelling dynamical systems from data. Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.
A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and c ....A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and convex optimisation, extending the power of optimisation-based control from linear to non-linear systems. The project is expected to lead to new theoretical developments, constructive algorithms and software, and experimental demonstrations on a range of platforms including bipedal walking robots and underwater robots.Read moreRead less
Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage contr ....Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage control of mobile networks which are expected to solve industrial control problems in the defence, communications and robotics industries and manage the environment.Read moreRead less