A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Adaptive aberration compensation in high refractive index materials for next-generation active microphotonic devices. The method proposed in this project is a very promising and versatile method to compensate the strong aberration in a high refractive index material. The successful compensation of such aberration will allow people to fabricate microdevices directly inside high refractive index materials. This project will greatly advance optical fabrication techniques and expand the national kno ....Adaptive aberration compensation in high refractive index materials for next-generation active microphotonic devices. The method proposed in this project is a very promising and versatile method to compensate the strong aberration in a high refractive index material. The successful compensation of such aberration will allow people to fabricate microdevices directly inside high refractive index materials. This project will greatly advance optical fabrication techniques and expand the national knowledge in the area of nonlinear PhCs (photonic crystals) and related applications. It is expected that the project will provide many chances for postgraduate students to be involved. In future, nonlinear PhCs and related devices may be widely used in daily life and this project may provide some opportunities for industry.Read moreRead less
Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolut ....Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolution algorithms, and cooperative co-evolutionary strategies. The outcome results will be demonstrated by practical evaluations over public datasets and comparisons to related works. The project is beneficial to the nation in both theory of artificial intelligence techniques and applications of real transport systems.Read moreRead less
Fabrication and Application of Ion-Sensors Based on the Voltammetry of Nanocrystals Adhered to Electrode Surfaces. A significant need exists for the low cost determination of cations and anions in biologically (blood, urine), industrially (process streams) and environmentally (rivers, lakes) important fluids. In this project, skills in sensor design, scientific instrumentation, materials science, electrochemistry and analytical science provided by a consortium of scientists at Monash University ....Fabrication and Application of Ion-Sensors Based on the Voltammetry of Nanocrystals Adhered to Electrode Surfaces. A significant need exists for the low cost determination of cations and anions in biologically (blood, urine), industrially (process streams) and environmentally (rivers, lakes) important fluids. In this project, skills in sensor design, scientific instrumentation, materials science, electrochemistry and analytical science provided by a consortium of scientists at Monash University, the Victorian Institute for Chemical Sciences, Oxford Biosensors and Oxford University will be integrated to fabricate and develop applications of commercially viable ion-sensing systems. The principles to be utilised are based on novel forms of voltammetry of nanocrystals adhered to electrode surfaces.Read moreRead less
Probing the function of protein molecular motors on nano-fabricated structures. The function of protein linear molecular motors, which are natural dynamic bio-nano-devices with a ubiquitous importance in multicellular organisms, will be 'probed' with purposefully designed nano-structures fabricated via photo- or Scanning Probe Microscopy Lithography, that is, flat polymeric surfaces with combinatorial combinations of physico-chemistries; and micro/nano-channels and nano-wells with critical dimen ....Probing the function of protein molecular motors on nano-fabricated structures. The function of protein linear molecular motors, which are natural dynamic bio-nano-devices with a ubiquitous importance in multicellular organisms, will be 'probed' with purposefully designed nano-structures fabricated via photo- or Scanning Probe Microscopy Lithography, that is, flat polymeric surfaces with combinatorial combinations of physico-chemistries; and micro/nano-channels and nano-wells with critical dimensions similar to the scale of the probed biomolecules. The project turns 'up-side down' the challenge of invasive nano-probing of biomolecules using it in an engineered manner. The fundamental understanding of linear molecular motors will impact on biomedical science and on the assessment of hybrid natural-artificial dynamic nano-devices.Read moreRead less
Overcoming the Barriers in the Development of Solid State Materials. A major impact of this proposal shall be in terms of researcher training. By synergistically combining materials chemistry, fundamental physical chemistry, inorganic chemistry, and electrochemistry, this basic program will provide high level training to a new generation of Australian and Irish scientists thus helping to safeguard the economic competitiveness of the countries. Beyond the impact of the fundamental insight into t ....Overcoming the Barriers in the Development of Solid State Materials. A major impact of this proposal shall be in terms of researcher training. By synergistically combining materials chemistry, fundamental physical chemistry, inorganic chemistry, and electrochemistry, this basic program will provide high level training to a new generation of Australian and Irish scientists thus helping to safeguard the economic competitiveness of the countries. Beyond the impact of the fundamental insight into the rational design, structure and behaviour of a new class of solid materials, success in this program will have widespread applications for a variety of strategically important industries and should place Australia and Ireland at the forefront of this technologyRead moreRead less
Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given comp ....Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given computational budget. Expected outcomes of this project include efficient, effective and broadly applicable time series classification technologies. This should provide significant benefits to myriad sectors, transforming data science for time series problems and supporting innovation in industry, commerce and government.Read moreRead less
New Membrane Chips For Protein Interaction Analysis. This proposal is based on a strategic partnership between Monash University and Farfield Sensors. We will create a series of new biosensors that will be used to establish a new approach to the structural analysis of membrane protein function. In particular, this technology may lead to the identification of new proteins and drug targets for therapeutic development. The long-term outcome would be the development of improved therapeutics which wo ....New Membrane Chips For Protein Interaction Analysis. This proposal is based on a strategic partnership between Monash University and Farfield Sensors. We will create a series of new biosensors that will be used to establish a new approach to the structural analysis of membrane protein function. In particular, this technology may lead to the identification of new proteins and drug targets for therapeutic development. The long-term outcome would be the development of improved therapeutics which would be coupled to potential economic returns when further commercialisation is achieved. Read moreRead less
Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game ....Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game theory, this project tackles the new challenges in the placement, update and adaptation of edge data faced by software vendors embracing 5G. The outcomes can ease software vendors' cost and security concerns during the transition from 4G to 5G, and significantly promote the wave of 5G innovation in Australia.Read moreRead less
Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical cluste ....Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical clustering algorithms for dynamic networks – with performance guarantees of efficiency and clustering quality – and prototype software, guiding us to pick a good clustering. Expected benefits include better understanding of spread in evolving social networks, accelerating the software testing cycle, and improved topic detection.Read moreRead less