Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communica ....Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communications, it seeks to design scalable inference methods for resolving mutational fitness effects from genetic time-series measurements of complex evolving populations. This would enable new understanding of complex adaptive systems, such as pathogen evolution, host-immune dynamics, and acquisition of drug resistance. Read moreRead less
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic ....Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic noisy speech signals and the ‘cocktail party problem’ using innovative binaural feedback systems. This work should provide significant benefits, including improved voice biometrics and selective auditory attention capabilities in machines.Read moreRead less
Integrated optical phased arrays for light detection and ranging (LIDAR). This project aims to resolve challenging problems in light detection and ranging (LIDAR) to enable realisation of LIDAR sensors with low-power consumption, small size, high resolution and low cost. It proposes new techniques for integrated silicon photonic beam-steering to reduce the Size, Weight, and Power (SWaP), and achieve high-resolution beams with hardware reduction. Outcomes herald disruptive, compact on-chip LIDAR ....Integrated optical phased arrays for light detection and ranging (LIDAR). This project aims to resolve challenging problems in light detection and ranging (LIDAR) to enable realisation of LIDAR sensors with low-power consumption, small size, high resolution and low cost. It proposes new techniques for integrated silicon photonic beam-steering to reduce the Size, Weight, and Power (SWaP), and achieve high-resolution beams with hardware reduction. Outcomes herald disruptive, compact on-chip LIDAR technology for various applications including secure communications, miniaturized sensing, tracking systems, and autonomous vehicles. Significant benefits include industry growth, safeguarding Australia, and major economic benefits underpinning a huge market encompassing autonomous vehicles and robotics.
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Discovery Early Career Researcher Award - Grant ID: DE190101436
Funder
Australian Research Council
Funding Amount
$403,000.00
Summary
Supporting unmanned aerial vehicle communications in cellular systems. This project aims to systematically study the fundamental theory and practical methods for supporting unmanned aerial vehicles (UAV) utilising both existing 4G cellular systems and future 5G-and-beyond cellular systems. Supporting UAV communications in cellular systems is a promising technology to unlock numerous UAV applications without the need to establish control infrastructure. This project will develop new channel model ....Supporting unmanned aerial vehicle communications in cellular systems. This project aims to systematically study the fundamental theory and practical methods for supporting unmanned aerial vehicles (UAV) utilising both existing 4G cellular systems and future 5G-and-beyond cellular systems. Supporting UAV communications in cellular systems is a promising technology to unlock numerous UAV applications without the need to establish control infrastructure. This project will develop new channel models, analyse the fundamental performance limits, and propose key enabling techniques. A proof-of-concept experiment will be performed to evaluate the proposed designs. The outcomes of this project are expected to fundamentally advance the knowledge of cellular-connected UAV communications and create new business opportunities for both cellular and UAV industries.Read moreRead less
Ultra-reliable and low-latency mission critical communications. This project aims to develop enabling technologies for ultra-reliable and low-latency communications. While the evolution of wireless communication technologies to date has focused on data rate improvement, very little is known on how to achieve ultra-reliability and almost-zero latency which is urgently required for mission critical applications such as smart manufacturing and intelligent vehicles. The outcomes of the project will ....Ultra-reliable and low-latency mission critical communications. This project aims to develop enabling technologies for ultra-reliable and low-latency communications. While the evolution of wireless communication technologies to date has focused on data rate improvement, very little is known on how to achieve ultra-reliability and almost-zero latency which is urgently required for mission critical applications such as smart manufacturing and intelligent vehicles. The outcomes of the project will be new analytical tools and practical guidelines for designing trusted communication platforms to realise these applications, with benefits ranging from improved safety in intelligent transportation systems to digital transformation of the manufacturing industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101297
Funder
Australian Research Council
Funding Amount
$429,000.00
Summary
A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the e ....A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the emerging field of biological imaging and to deliver an integrated imaging platform for mapping various tissue microscopic components at the cellular level. Successful outcomes have the potential for commercialisation and will accelerate a range of fundamental science and engineering studies requiring imaging techniques.Read moreRead less
Reliable bi-directional machine-type communications for smart agriculture. This project aims to develop innovative solutions for agricultural machine-type communications to provide robust and bi-directional coverage for remote agriculture areas with difficult terrain, by leveraging smart-sensor-enabled, energy-efficient uplink transmissions and ultra-reliable downlink transmissions. Machine-type communications have been recognised as a key enabler for the future smart agriculture and smart farms ....Reliable bi-directional machine-type communications for smart agriculture. This project aims to develop innovative solutions for agricultural machine-type communications to provide robust and bi-directional coverage for remote agriculture areas with difficult terrain, by leveraging smart-sensor-enabled, energy-efficient uplink transmissions and ultra-reliable downlink transmissions. Machine-type communications have been recognised as a key enabler for the future smart agriculture and smart farms. The project will use novel agricultural machine-type communication theories and develop test-beds to enable the smart agricultural applications. This is expected to contribute to the crucial communication infrastructures for smart farms, which will lead to higher agricultural productivity and national economy.Read moreRead less
Drone-based Communications for High-speed Beyond 5G Wireless Systems. Drone-based communication is a revolutionised wireless paradigm for the development of highly flexible and cost-effective beyond fifth-generation (B5G) wireless systems. This project aims to develop novel communication theories and practical techniques to realise truly high-speed and ubiquitous communication required in B5G networks. The project intends to deliver resource allocation designs, robust transceiver designs and a s ....Drone-based Communications for High-speed Beyond 5G Wireless Systems. Drone-based communication is a revolutionised wireless paradigm for the development of highly flexible and cost-effective beyond fifth-generation (B5G) wireless systems. This project aims to develop novel communication theories and practical techniques to realise truly high-speed and ubiquitous communication required in B5G networks. The project intends to deliver resource allocation designs, robust transceiver designs and a system-level analysis as the foundations and tools to unlock the potential of this promising paradigm. The outcomes of this project are expected to fundamentally advance the knowledge of drone-based communications with significant economic values to service providers and benefits to mobile users over the world.Read moreRead less