Engineering the Next Generation of Broadband Terahertz Technologies. This project proposes a new broadband, high-power, laser technology for THz sensing. This semiconductor laser based THz technology is crucial for a wide range of applications requiring the acquisition of THz spectral signatures of materials and high-frame rate hyper-spectral THz imaging. We propose two pathways to engineer this novel THz technology: using a tuneable, coupled-cavity quantum cascade semiconductor laser and by c ....Engineering the Next Generation of Broadband Terahertz Technologies. This project proposes a new broadband, high-power, laser technology for THz sensing. This semiconductor laser based THz technology is crucial for a wide range of applications requiring the acquisition of THz spectral signatures of materials and high-frame rate hyper-spectral THz imaging. We propose two pathways to engineer this novel THz technology: using a tuneable, coupled-cavity quantum cascade semiconductor laser and by creating the broad emission spectra through active mode locking in a THz semiconductor laser. The THz laser coupled with the self-detection technique is the key to realising this, and will be explored both in model and experiment.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
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
Discovery Early Career Researcher Award - Grant ID: DE210100473
Funder
Australian Research Council
Funding Amount
$462,573.00
Summary
Breaking Performance Limits of Solar Inverters for a Sustainable Future. Micro-inverters offer a unique ability to maximise solar energy yield and streamline the installation, operation and maintenance process of solar power generation, thus having huge potentials to drastically reduce the cost of solar electricity. However, performance limits have hampered their wider applications in the energy sector. This project aims to tackle the performance challenges of micro-inverters by developing a nov ....Breaking Performance Limits of Solar Inverters for a Sustainable Future. Micro-inverters offer a unique ability to maximise solar energy yield and streamline the installation, operation and maintenance process of solar power generation, thus having huge potentials to drastically reduce the cost of solar electricity. However, performance limits have hampered their wider applications in the energy sector. This project aims to tackle the performance challenges of micro-inverters by developing a novel power-conversion architecture, a unified design framework, and a new control theory. The intended research outcome will be a new range of ultra-high-performance micro-inverters. This will promote greater solar uptake and maintain Australia’s leadership in the development of disruptive solar power generation technology.Read moreRead less
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
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
Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an onli ....Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an online risk assessment method to quantify the risk propagation of cyberattacks, and resilient control strategies to mitigate cyberattack risks. The outcomes will not only advance knowledge in cyber-physical security but also facilitate an accelerated adoption of the increasing renewable energy sources into the power grid.Read moreRead less
Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on s ....Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on sensors, energy, and general mechanical limitations. The project aims to resolve the challenges of deciding what a single vehicle should observe, what and to where it should communicate, and how it should move in relation to what it sees. The conceptual framework developed may also be relevant in guiding future defence acquisitions and civilian applications.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