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
Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also ....Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also have significant spillover benefits into other complex system domains, where computational tools can be used to aid in design leading to high embedded-IP products for Australian industry. Furthermore, the proposal encompasses a strong research training aspect, with graduates exposed to leading edge industry and academia.Read moreRead less
Photonic chip inertial movement sensors. This project aims to create a new class of optical inertial movement sensors using integrated photonic chip technology. By replacing optical fibre coils with compact waveguides, integrating light sources on-chip and by harnessing smart sensing approaches, we intend to reduce the required power from watts to milliwatts and reduce the dimensions from meters to centimetres. The expected project outcomes are sensors with military grade precision but with the ....Photonic chip inertial movement sensors. This project aims to create a new class of optical inertial movement sensors using integrated photonic chip technology. By replacing optical fibre coils with compact waveguides, integrating light sources on-chip and by harnessing smart sensing approaches, we intend to reduce the required power from watts to milliwatts and reduce the dimensions from meters to centimetres. The expected project outcomes are sensors with military grade precision but with the size, cost and manufacturability of consumer electronics. This technology will fill a strategic gap in the movement sensor market enabling applications ranging from robotic infrastructure monitoring, manufacture and surgery to guiding satellites and other space craft.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101129
Funder
Australian Research Council
Funding Amount
$425,948.00
Summary
Two-Dimensional Material Tandem Detectors for Polarimetry and Spectroscopy. The aim of this project is to leverage the fundamental advantages that two-dimensional (2D) materials could provide to vertically-stacked (tandem) photodetectors. The strong absorption, tunable bandgap and polarisation dependence that many 2D materials exhibit, provides a means by which to detect properties of light. This topic is significant because it could overcome current cost/performance issues of tandem detectors, .... Two-Dimensional Material Tandem Detectors for Polarimetry and Spectroscopy. The aim of this project is to leverage the fundamental advantages that two-dimensional (2D) materials could provide to vertically-stacked (tandem) photodetectors. The strong absorption, tunable bandgap and polarisation dependence that many 2D materials exhibit, provides a means by which to detect properties of light. This topic is significant because it could overcome current cost/performance issues of tandem detectors, enabling widespread usage. The expected project outcome is the development of a novel tandem 2D detector, which as a single detector/pixel, can extract the intensity, polarisation and wavelength region of incoming light. This would provide benefits for many future applications, including machine vision and aerial surveying.Read moreRead less
Indoor Photovoltaics Enabled by Wide-Bandgap Perovskite Quantum Dots. This project aims to develop a high-efficiency indoor photovoltaic (PV) technology to provide reliable low-cost power in the multi-billion dollar “Internet of Things” (IoT) market. There are currently no devices that meet the requirements for maximum operating efficiency under indoor illumination. We propose to solve this problem by fabricating PV cells using colloidal perovskite quantum dots that offer class-leading stability ....Indoor Photovoltaics Enabled by Wide-Bandgap Perovskite Quantum Dots. This project aims to develop a high-efficiency indoor photovoltaic (PV) technology to provide reliable low-cost power in the multi-billion dollar “Internet of Things” (IoT) market. There are currently no devices that meet the requirements for maximum operating efficiency under indoor illumination. We propose to solve this problem by fabricating PV cells using colloidal perovskite quantum dots that offer class-leading stability and band gap tunability across the required range, enabled by quantum confinement. The outcome is the development of integrated self-powered IoT devices potentially impacting Advanced Manufacturing growth in Energy, Cyber Security, Food and Agribusiness, as all of these will ultimately rely on networked smart devices.Read moreRead less
Advanced inverter control for distributed energy systems. This project aims to discover innovative fundamental approaches for the control of electrical grids with a diverse and changing mix of generation sources. It will generate new knowledge in the area of electrical power system control by researching innovative and advanced inverter control techniques coupled to advanced power system models. The expected outcomes are advanced power system control techniques that remove the emerging barriers ....Advanced inverter control for distributed energy systems. This project aims to discover innovative fundamental approaches for the control of electrical grids with a diverse and changing mix of generation sources. It will generate new knowledge in the area of electrical power system control by researching innovative and advanced inverter control techniques coupled to advanced power system models. The expected outcomes are advanced power system control techniques that remove the emerging barriers to increased penetrations of distributed generation and energy storage. The benefit of the research includes an Australian-developed solution to many of the difficulties faced by grid operators around the world in incorporating increased renewable generation and energy storage in their power systems.Read moreRead less
When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between ....When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between an optimization-based control algorithm and an optimization routine used to calculate the control law. This project aims to develop a general design framework for stability, suboptimality and robustness of such algorithms, that can be used in range of novel applications, such as driverless cars and drones. Read moreRead less
Wideband Silicon-Based Radio-Frequency Front-End Module for 5G New Radio . The project aims to advance knowledge in radio-frequency integrated circuit design in low-cost silicon technologies, particularly power amplifiers design with enhanced energy efficiency at output power back-off levels. The intended outcome of this project will be a wideband RF front-end module with beam steering capability that can cover the 24-50 GHz spectrum band. This will ultimately enable the creation of a low-cost a ....Wideband Silicon-Based Radio-Frequency Front-End Module for 5G New Radio . The project aims to advance knowledge in radio-frequency integrated circuit design in low-cost silicon technologies, particularly power amplifiers design with enhanced energy efficiency at output power back-off levels. The intended outcome of this project will be a wideband RF front-end module with beam steering capability that can cover the 24-50 GHz spectrum band. This will ultimately enable the creation of a low-cost and energy-efficient 5G millimetre-wave network that could potentially trigger the development of ultra-reliable low latency communications, which is critical for emerging intelligent transportation systems and will maintain Australia’s leadership position in the development of break-through wireless technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101181
Funder
Australian Research Council
Funding Amount
$403,775.00
Summary
Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multipl ....Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multiple mobile agents (e.g. vehicle) to enhance their ability to anticipate situations in dynamic environments and to act effectively to enhance safety. This should provide benefits for the development of cooperative autonomous driving to enhance road safety.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less