Power system security assessment given massive intermittent energy sources. This project aims to develop new models and analysis methods to investigate the impact of massive intermittent energy sources (IESs) on the performance and security of power grids. Furthermore, advanced control strategies will be developed to enhance the security. The outcomes can provide useful guidelines to assist the Australian power industry and the government in realising the renewable energy target. Furthermore con ....Power system security assessment given massive intermittent energy sources. This project aims to develop new models and analysis methods to investigate the impact of massive intermittent energy sources (IESs) on the performance and security of power grids. Furthermore, advanced control strategies will be developed to enhance the security. The outcomes can provide useful guidelines to assist the Australian power industry and the government in realising the renewable energy target. Furthermore considering serious blackout can not only cause economic losses, but also larger disturbance in other critical infrastructure, this project also contributes to national security.Read moreRead less
Resilient Remote Environment Emulation for Human-to-Machine Communication. Human-to-machine haptic communication allow humans to immersively interact with remotely-located robots/machines. Current networks cannot support its technical demands, thereby limiting the achievable human-machine distance. This project aims to develop cloudlet intelligence together with a programmable resilient network to realise reliable remote environment emulation, a concept where the physical environment at the remo ....Resilient Remote Environment Emulation for Human-to-Machine Communication. Human-to-machine haptic communication allow humans to immersively interact with remotely-located robots/machines. Current networks cannot support its technical demands, thereby limiting the achievable human-machine distance. This project aims to develop cloudlet intelligence together with a programmable resilient network to realise reliable remote environment emulation, a concept where the physical environment at the remote machine is emulated close to the human. A key outcome will be the first reliable remote environment emulation platform that achieves vast human-machine distances on current networks. Enabling immersive human-machine experience will significantly benefit many sectors, from education through to industrial manufacturing.Read moreRead less
Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
Insect-inspired flapping wing robots: autonomous flight control systems. This project aims to design a novel control scheme for insect-inspired, flapping-wing, micro aerial vehicles. This type of micro aerial vehicle has complex, periodic, time-varying and inherently unstable dynamics, which are practically challenging to model and implement in hardware. This project will design energy-based automatic stabilization and task-dependent control, and develop the insect-inspired platform for testing ....Insect-inspired flapping wing robots: autonomous flight control systems. This project aims to design a novel control scheme for insect-inspired, flapping-wing, micro aerial vehicles. This type of micro aerial vehicle has complex, periodic, time-varying and inherently unstable dynamics, which are practically challenging to model and implement in hardware. This project will design energy-based automatic stabilization and task-dependent control, and develop the insect-inspired platform for testing nonlinear control strategies. The expected outcomes will include new system and control theories, concepts, principles and technologies in controller design that can provide reliable flight control for bio-inspired, flapping-wing systems.Read moreRead less
Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of ....Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of a futuristic power system with high penetration of PEDs. The intended outcomes will be a model and data jointly driven methodology for high-efficient and real-time stability assessment. The methodology developed in this project will support Australia's transition to a stable, secure, and low-carbon power grid.Read moreRead less
Customer Centred Peer-to-Peer Energy Trading Framework for Future Grids. This project aims to develop a peer-to-peer (P2P) energy trading framework that facilitates cooperative and trustworthy energy trading directly among energy customers such as residents. By developing novel energy load monitoring and prediction techniques, a customer cooperation scheme and a privacy-preserving P2P energy market, this project expects to transform current energy networks to facilitate energy trading at the edg ....Customer Centred Peer-to-Peer Energy Trading Framework for Future Grids. This project aims to develop a peer-to-peer (P2P) energy trading framework that facilitates cooperative and trustworthy energy trading directly among energy customers such as residents. By developing novel energy load monitoring and prediction techniques, a customer cooperation scheme and a privacy-preserving P2P energy market, this project expects to transform current energy networks to facilitate energy trading at the edge of the grid and contribute to achievement of Australia’s net-zero emission target by 2050. The intended outcomes form this project include new science and knowledge of customer-side energy systems, new design philosophy and strategies for energy markets, and an open-source framework for prototype evaluation. Read moreRead less
Lattice Panel Based Optical Apertures for Optical Wireless Networks . Future work and homes will demand superfast wireless connectivity supported by optical fibre networks providing high speeds into our buildings. The technology gap, however, is a system to deliver this level of connectivity to our wireless mobile devices. Addressing this need, this innovative project proposes a novel architecture of lattice panel apertures based on arrays of phased arrays that can establish and steer multiple ....Lattice Panel Based Optical Apertures for Optical Wireless Networks . Future work and homes will demand superfast wireless connectivity supported by optical fibre networks providing high speeds into our buildings. The technology gap, however, is a system to deliver this level of connectivity to our wireless mobile devices. Addressing this need, this innovative project proposes a novel architecture of lattice panel apertures based on arrays of phased arrays that can establish and steer multiple optical beams simultaneously. It will investigate these system architectures, demonstrating their feasibility. By transforming broadband wireless into the future of optical mobile networking, the project outcomes will extend to every connected office and home, benefiting Australia’s economy and national security. Read moreRead less
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less
Overcoming nonlinearity in short-reach optical communication. This project aims to investigate the equalization methods for nonlinear optical channels applicable to short-reach optical communications. This project expects to significantly improve the transmission capacity of the cost-effective directly detected transceivers. Expected outcomes of this project include advanced equalization techniques for nonlinear channels and associated signal processing algorithms. These advances will have the p ....Overcoming nonlinearity in short-reach optical communication. This project aims to investigate the equalization methods for nonlinear optical channels applicable to short-reach optical communications. This project expects to significantly improve the transmission capacity of the cost-effective directly detected transceivers. Expected outcomes of this project include advanced equalization techniques for nonlinear channels and associated signal processing algorithms. These advances will have the potential to provide an enabling technology for surging capacity demand from cloud computing and enhance Australia's standing as a leader in optical communications technology.
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Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithm ....Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.Read moreRead less