New high-performance iterative error correction codes. This project develops new error correction codes to underpin the success of next-generation communications technologies. The nature of the project presents significant potential for project outcomes to be beneficial to the Australian telecommunications industry in a wide range of application areas from optical communication to digital broadcasting.
Optomechanical refrigeration of electronic circuits. The project aims to apply laser light to reduce the temperature of electronic circuits. This aims to greatly suppress electronic noise, and enable a new class of technologies for future telecommunication systems. By developing new techniques to confine light, electric fields and vibrations at sub-micron scale on a silicon chip, devices such as ultralow noise amplifiers, clocks and radio frequency receivers will be realised, along with ultra-ef ....Optomechanical refrigeration of electronic circuits. The project aims to apply laser light to reduce the temperature of electronic circuits. This aims to greatly suppress electronic noise, and enable a new class of technologies for future telecommunication systems. By developing new techniques to confine light, electric fields and vibrations at sub-micron scale on a silicon chip, devices such as ultralow noise amplifiers, clocks and radio frequency receivers will be realised, along with ultra-efficient optical modulators. In future, these technologies could reduce energy consumption and improve reliability in telecommunication networks. They could improve the range of satellite communication, robustness of GPS against cosmic radiation, and performance of surveillance systems such as radar and sonar.Read moreRead less
Radio resources and inter-cell interference management in smart grid wireless access networks. Wireless communications is the key enabler of smart grids. The project will deliver novel radio resource allocation protocols with low latency, high radio spectrum efficiency and reliability for radio access networks in smart grids. The project will develop new technologies with a potential to be implemented in future Long Term Evolution (LTE) machine-to-machine (M2M) standards.
An assessment of the fundamental size limits for planar antennas using unconstrained optimisation methods. Portable wireless devices can be reduced in size and battery demands through best practice antenna design. The absolute size limits recently developed for ideal structures will be tested against real printed antenna structures using powerful computational tools and experimental demonstration for sensor networks in health care applications.
Mitigating the Severity of Level Crossing Accidents and Derailments. Ongoing increases in the number of level crossings and heavy road vehicles cause more frequent and severe level crossing accidents and derailments. Despite the use of active warning systems, each year, on average, 100 level crossing accidents occur in Australia. With a view to mitigating these crashes, this research aims to formulate theories for reduction in crash energy and effective wheel constraints to prevent derailment by ....Mitigating the Severity of Level Crossing Accidents and Derailments. Ongoing increases in the number of level crossings and heavy road vehicles cause more frequent and severe level crossing accidents and derailments. Despite the use of active warning systems, each year, on average, 100 level crossing accidents occur in Australia. With a view to mitigating these crashes, this research aims to formulate theories for reduction in crash energy and effective wheel constraints to prevent derailment by modifying the levels of road and rail crossings and providing guard rails in the recesses of these modified level crossings. The theories are intended be developed using nonlinear dynamic computational methods and laboratory experiments. The outcomes are expected to enable reduction in the severity of level crossing accidents and hence save lives and costs of derailment.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
Compression of distributed data: bridging the gap between theory and practice. In bushfire and tsunami early warning systems, environmental monitoring and healthcare applications, distributed sensors collect and transmit correlated data. This project will design novel data compression algorithms that exploit this correlation to dramatically increase the performance of existing networks and enable new applications.
Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the developmen ....Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the development of a cutting-edge technique to develop new intelligent applications in a decentralised and privacy-sensitive scenario. This game-changing research will advance current data mining and artificial intelligence research from centralised intelligence to decentralised intelligence with a collaboration network.Read moreRead less
Enabling ultra-reliable and sustainable machine-to-machine communications. This project aims to develop spectrum sharing and power transfer techniques for machine-to-machine communications in future wireless networks. Current wireless networks have high data rate as a priority but cannot deliver ultra-reliable and extended battery life operation for many low data rate machine-type devices. Through proper design of wireless and autonomous machine-to-machine communications, this project expects to ....Enabling ultra-reliable and sustainable machine-to-machine communications. This project aims to develop spectrum sharing and power transfer techniques for machine-to-machine communications in future wireless networks. Current wireless networks have high data rate as a priority but cannot deliver ultra-reliable and extended battery life operation for many low data rate machine-type devices. Through proper design of wireless and autonomous machine-to-machine communications, this project expects to improve quality of life and implement ultra-reliable, intelligent and long lasting machine-type monitoring devices for health, agriculture, mining, wildlife and critical national infrastructure.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100918
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Real-Time Electromagnetic-wave Engineering for Advanced Wireless Systems. This project aims to enable and accelerate the development and deployment of next generation high-speed wireless networks, particularly in high network density areas. It aims to apply real-time electromagnetic signal processing engineering to achieve all-analog mm-wave radio systems for ultrafast wireless systems. Next-generation wireless networks will need to support a 1000-fold increase in data capacity. The mere evoluti ....Real-Time Electromagnetic-wave Engineering for Advanced Wireless Systems. This project aims to enable and accelerate the development and deployment of next generation high-speed wireless networks, particularly in high network density areas. It aims to apply real-time electromagnetic signal processing engineering to achieve all-analog mm-wave radio systems for ultrafast wireless systems. Next-generation wireless networks will need to support a 1000-fold increase in data capacity. The mere evolution of current digital based mobile technologies will be largely insufficient to meet the anticipated demands, and in light of rapid transitions towards mm-wave domain, new disruptive technological solutions are needed. This project aims to provide these new technological devices and systems for the faster deployment of future wireless networks in Australia.Read moreRead less