Coding for Distributed Storage: Fundamental Limits and Code Designs. Applications such as file sharing, large-scale scientific projects, and social networking are fuelling the need for reliable and sustainable distributed storage systems. This project aims to develop the theory and the code designs for next-generation storage systems that are specifically optimised for the storage needs in such applications. This project is well placed to provide cost-effective, home-grown solutions for Australi ....Coding for Distributed Storage: Fundamental Limits and Code Designs. Applications such as file sharing, large-scale scientific projects, and social networking are fuelling the need for reliable and sustainable distributed storage systems. This project aims to develop the theory and the code designs for next-generation storage systems that are specifically optimised for the storage needs in such applications. This project is well placed to provide cost-effective, home-grown solutions for Australia's future data centre needs. Its potential immediate benefits are: contribution to the knowledge base and fundamental capabilities in storage systems; practical codes tailor-made for different storage applications; IP creation and commercialisation; and, education of future Australian academic and industrial innovators.Read moreRead less
Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate an ....Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate and ubiquitous communication services. This project aims to produce new theoretical results in the field of communication theory, and efficient practical coding schemes for wireless communications.Read moreRead less
Millimetre wave communications for mobile broadband systems. This project aims to develop innovative millimetre wave (mmWave) communication theories and techniques, in order to significantly improve the data rate and network capacity for mobile broadband. Pragmatic transceiver designs, channel estimation algorithms, and network optimisation tools will be developed to quantify the potential of this promising wireless infrastructure. The technologies are designed to exploit the abundant mmWave spe ....Millimetre wave communications for mobile broadband systems. This project aims to develop innovative millimetre wave (mmWave) communication theories and techniques, in order to significantly improve the data rate and network capacity for mobile broadband. Pragmatic transceiver designs, channel estimation algorithms, and network optimisation tools will be developed to quantify the potential of this promising wireless infrastructure. The technologies are designed to exploit the abundant mmWave spectrum and complement the state-of-the-art cellular systems to fulfil the formidable demand for ultra-fast data services. The project outcomes are expected to increase mobile broadband speed by an order of magnitude which can benefit end-user experience and open up new opportunities for network providers.Read moreRead less
Transmission beyond linear capacity in fibre optics. This project aims to develop the concept and demonstrate the practicality of a new fibre optic communication technology that allows data transmission rates beyond currently accepted fundamental limits. This project aims to design and demonstrate the feasibility and practicality of utilising nonlinear modes of data transmission. This would assist in the management of fibre impairments that fundamentally limit further increase in data rate causi ....Transmission beyond linear capacity in fibre optics. This project aims to develop the concept and demonstrate the practicality of a new fibre optic communication technology that allows data transmission rates beyond currently accepted fundamental limits. This project aims to design and demonstrate the feasibility and practicality of utilising nonlinear modes of data transmission. This would assist in the management of fibre impairments that fundamentally limit further increase in data rate causing the capacity crunch problem. This is expected to present Australia with leading edge technology to compete in the area of high-speed, high-capacity communication, which is the backbone of our economy, heath, education, social participation, and security.Read moreRead less
Physical Layer Security for Wireless Machine-Type Communications. This project aims to provide new understanding and design guidelines to secure wireless communications among low-cost resource-constrained devices. This is achieved by advancing the fundamental theory of an emerging security paradigm named physical layer security. Expected outcomes of this project include a communication-theoretic framework to characterise the secrecy performance of communications over wireless networks, followed ....Physical Layer Security for Wireless Machine-Type Communications. This project aims to provide new understanding and design guidelines to secure wireless communications among low-cost resource-constrained devices. This is achieved by advancing the fundamental theory of an emerging security paradigm named physical layer security. Expected outcomes of this project include a communication-theoretic framework to characterise the secrecy performance of communications over wireless networks, followed by novel signal processing and transmission designs. The research outcomes should provide innovative solutions to safeguard commercial and industry Internet of Things networks, benefiting Australia's digital transformation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100040
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Partitioning and ordering Steiner triple systems. Steiner triple systems are fundamental mathematical objects with many real-world applications. This project will develop deep new insights into these objects, resulting in systems allowing many users to simultaneously use a communication channel, and in schemes for preventing the loss of computer data due to hard disk failures.
Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental ....Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental policy formulation, network design, engineering, defence and cybersecurity; offering significant benefits to the researchers and practitioners in these fields. In addition to research outputs, it will strengthen international collaboration and build research capacity to put Australia at the forefront of this research.
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Evolutionary computation for robust multi-objective engineering design. This project aims to develop an evolutionary computation framework for robust multi-objective design, a critical pursuit in engineering industries. Such problems are characterised by multiple conflicting performance objectives
and constraints which are highly nonlinear, often black-box, and prone to unavoidable real-life uncertainties. The existing evolutionary algorithms are often computationally impractical and have a numb ....Evolutionary computation for robust multi-objective engineering design. This project aims to develop an evolutionary computation framework for robust multi-objective design, a critical pursuit in engineering industries. Such problems are characterised by multiple conflicting performance objectives
and constraints which are highly nonlinear, often black-box, and prone to unavoidable real-life uncertainties. The existing evolutionary algorithms are often computationally impractical and have a number of fundamental
shortcomings which restrict their use in real applications. This project aims to investigate and overcome the underlying key challenges to advance knowledge and contribute towards diverse domains such as energy, transport and space research, helping deliver high quality robust designs.
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Learning deep resilient behaviour for uncertainty-aware autonomy. This research project aims to propose a novel framework for developing uncertainty-aware autonomous systems using deep learning. There are fundamental gaps in our knowledge of deep uncertainty quantification and its application for risk-aware decision making. Novel algorithms will be proposed to reliably generate deep uncertainty estimates with low computational overhead. These estimates will be then exploited by safety-critical s ....Learning deep resilient behaviour for uncertainty-aware autonomy. This research project aims to propose a novel framework for developing uncertainty-aware autonomous systems using deep learning. There are fundamental gaps in our knowledge of deep uncertainty quantification and its application for risk-aware decision making. Novel algorithms will be proposed to reliably generate deep uncertainty estimates with low computational overhead. These estimates will be then exploited by safety-critical systems such as autonomous robots to identify risky actions and avoid catastrophise. Developed algorithms will be implemented on an autonomous robotic system to make it averse to uncertainties. The outcomes will greatly increase reliable telerobotic applications in mining, manufacturing, defence, and health.Read moreRead less
Development of methods and algorithms to support multidisciplinary optimisation. This project will aim to develop a number of novel and computationally efficient schemes to deal with the key challenges facing multidisciplinary optimisation. These advancements will allow us to solve a number of challenging and intractable problems in science and engineering.