Multi-Agent Solutions for the Development of Self-Organised and Self-Adapted Distributed Energy Generation Systems. The project aims to develop a self-organised multi-agent framework for modelling Marco-Smart Grid (SMG), dynamic coordination mechanisms between SMGs in distributed energy systems, and self-adaptation approaches for SMGs and restoration strategies to detect and recover an SMG network from faults and outages. The significance of this project lies in its promise to solve the challeng ....Multi-Agent Solutions for the Development of Self-Organised and Self-Adapted Distributed Energy Generation Systems. The project aims to develop a self-organised multi-agent framework for modelling Marco-Smart Grid (SMG), dynamic coordination mechanisms between SMGs in distributed energy systems, and self-adaptation approaches for SMGs and restoration strategies to detect and recover an SMG network from faults and outages. The significance of this project lies in its promise to solve the challenging issues of Smart Grid (SG) in multi-agent research and provide practical solutions to the development of effective and higher-quality distributed energy-generation systems with renewable energy resources. The expected outcomes are a framework, models, mechanisms and approaches in SG research and their practical applications.Read moreRead less
Autonomous service robots in a multi-agent based system for household and industrial environments. This project addresses fundamental research issues required to develop autonomous mobile robots for intelligent cleaning services. As an interdisciplinary project spanning the fields of robotics, mechatronics and AI, it offers potential benefits in bringing robots into less-structured human environments. Robots performing autonomous cleaning (including hazardous waste and spillage) and security tas ....Autonomous service robots in a multi-agent based system for household and industrial environments. This project addresses fundamental research issues required to develop autonomous mobile robots for intelligent cleaning services. As an interdisciplinary project spanning the fields of robotics, mechatronics and AI, it offers potential benefits in bringing robots into less-structured human environments. Robots performing autonomous cleaning (including hazardous waste and spillage) and security tasks in both household and industrial environments has tremendous national/community benefits in cost and time savings, improved efficiency and safety, and facilitating hazardous or labour intensive tasks. Other benefits include research training, strengthening Australia's R&D position in key innovative technologies, and creating jobs and exports.Read moreRead less
An integrated model for assessing health effects of nanoparticle inhalation. This project aims to examine the associated risks of nanoparticle inhalation on heath by developing a toxicological predictive tool for health risk assessment. The outcomes of this research will lead to greatly improved preventative measures, thereby reducing occupational diseases and the health socio-economic burden of Australia.
A Multiscale Modelling Platform for Nanoparticle Inhalation Risk Assessment. This project aims to explore the health risks caused by nanoparticle inhalation and its penetration through respiratory mucus and tissue cells. Exposure to nanoparticles has the potential to cause serious and possibly fatal health effects. An understanding of nanoparticle toxicology would enable us to appropriately protect the public’s health and safety. The project plans to consider human respiratory anatomy and physio ....A Multiscale Modelling Platform for Nanoparticle Inhalation Risk Assessment. This project aims to explore the health risks caused by nanoparticle inhalation and its penetration through respiratory mucus and tissue cells. Exposure to nanoparticles has the potential to cause serious and possibly fatal health effects. An understanding of nanoparticle toxicology would enable us to appropriately protect the public’s health and safety. The project plans to consider human respiratory anatomy and physiology and use advanced computer modelling and experimental techniques to evaluate the health risk of exposure to the burgeoning number of nanomaterials found in consumer products. The expected outcome of the project is a predictive tool that determines nanoparticle exposure risk and its health consequences.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100660
Funder
Australian Research Council
Funding Amount
$358,731.00
Summary
Simulating social networks to understand how neighbourhood factors influence health. Where you live and who you know has implications for your health. This study will use social network models to understand how social characteristics of neighbourhoods influence health. The new insights gained will help policy makers to develop better strategies for reducing health inequalities and improving health outcomes.
Modelling the Development and Evolution of Business Relations and Networks as Complex Adaptive Systems using Agent Based Models. This research develops models that will allow managers and policy makers to play more effective roles in the development and evolution of collaborative business relations and networks that lead to greater efficiency, industry innovation, and firm competitiveness, which is a key focus of corporate management and government trade and industry policy. It will also enhance ....Modelling the Development and Evolution of Business Relations and Networks as Complex Adaptive Systems using Agent Based Models. This research develops models that will allow managers and policy makers to play more effective roles in the development and evolution of collaborative business relations and networks that lead to greater efficiency, industry innovation, and firm competitiveness, which is a key focus of corporate management and government trade and industry policy. It will also enhance Australia's resources and expertise in understanding and modelling complex adaptive systems, help develop education resources and training programs for practitioners and researchers in this fast growing area of theory and research, strengthen links with leading researchers and centres, and produce a doctorate in the area.Read moreRead less
Reshaping superannuation practice in Australia using big data analytics. This project aims to reform superannuation investment practices in Australia. Using sophisticated data analytics and machine-learning techniques, combined with economic modelling and quantitative finance. The project will try to understand the broad characteristics of Australian superannuation investors and their practice from a ‘big data’ perspective. The expected outcomes of this project are the identification of key dete ....Reshaping superannuation practice in Australia using big data analytics. This project aims to reform superannuation investment practices in Australia. Using sophisticated data analytics and machine-learning techniques, combined with economic modelling and quantitative finance. The project will try to understand the broad characteristics of Australian superannuation investors and their practice from a ‘big data’ perspective. The expected outcomes of this project are the identification of key determinants for successful superannuation behaviour to inform decision-making for better superannuation practices and policies. It is expected that the insights arising from this project will contribute to safeguarding the future of Australia’s superannuation schemes, and to better financial security at retirement.Read moreRead less
Smart micro learning with open education resources. This project aims to enhance personalised learning systems for mobile device users . Open online education is gaining in popularity with its ease of use. The project tackles the problems in relation to more and more popular mobile and ‘micro learning’, where people learn on the move and within small units of time. Ontology and machine learning technologies used in this project will help to optimise the offering of open education resources, by p ....Smart micro learning with open education resources. This project aims to enhance personalised learning systems for mobile device users . Open online education is gaining in popularity with its ease of use. The project tackles the problems in relation to more and more popular mobile and ‘micro learning’, where people learn on the move and within small units of time. Ontology and machine learning technologies used in this project will help to optimise the offering of open education resources, by providing solutions meeting each individual learner’s needs. The main outcome will consolidate a cloud based micro learning framework through integrating a group of novel algorithms.Read moreRead less
Natural Language Generation for Aboriginal Languages. Australian Aboriginal languages have a number of interesting characteristics that make them a challenge for language technology applications; as yet, there are none, unlike for the indigenous Inuit peoples of Canada and Maori of New Zealand. We will carry out a large-scale computational linguistic investigation of an Aboriginal language to create a data-to-text natural language generation system. The system will use data from Australian Rul ....Natural Language Generation for Aboriginal Languages. Australian Aboriginal languages have a number of interesting characteristics that make them a challenge for language technology applications; as yet, there are none, unlike for the indigenous Inuit peoples of Canada and Maori of New Zealand. We will carry out a large-scale computational linguistic investigation of an Aboriginal language to create a data-to-text natural language generation system. The system will use data from Australian Rules Football to automatically construct articles based on the data. This study of computational linguistics will have further national benefits through engagement of the owners of the language in the language survey, as well as generating articles that will encourage literacy and language maintenance.Read moreRead less
A Distributed Virtual Factory in Agile Manufacturing. The aim of this research is to develop an Intelligent Distributed Virtual Factory consisting of several distributed precise simulation models connected by several synchronisation mechanisms named Time Bucket algorithms. Intelligent Distributed Virtual Factory will then be applied into precise evaluations of the whole manufacturing system under two major types of manufacturing operational logics, PULL and PUSH methods.