Distributed Optimisation without Central Coordination. This project will develop the mathematical foundations for discovery and analysis of iterative methods for optimisation problems in distributed computing systems. Most methods in distributed optimisation were not designed for distributed computing, rather they were adapted for purpose post-hoc. By building on recent advances in monotone operator splitting, this project expects to develop a mathematical theory for decentralised optimisation a ....Distributed Optimisation without Central Coordination. This project will develop the mathematical foundations for discovery and analysis of iterative methods for optimisation problems in distributed computing systems. Most methods in distributed optimisation were not designed for distributed computing, rather they were adapted for purpose post-hoc. By building on recent advances in monotone operator splitting, this project expects to develop a mathematical theory for decentralised optimisation algorithms specially designed for distributed systems. The framework is expected to produce a suite of algorithms, each customised to exploit a specific network configuration. The project will provide significant benefits in distributed machine learning applications such as federated learning.Read moreRead less
Consumer and Community Involvement Process Implementation Model . The project aims to examine the barriers and enablers to Consumer and Community Involvement. We will generate new knowledge via innovative methods from narrative medicine and economic and marketing studies including establishing the first Community of Practice for consumers and stakeholders in dementia research as the example. The outcomes include the creation of a process implementation model for Consumer and Community Involvemen ....Consumer and Community Involvement Process Implementation Model . The project aims to examine the barriers and enablers to Consumer and Community Involvement. We will generate new knowledge via innovative methods from narrative medicine and economic and marketing studies including establishing the first Community of Practice for consumers and stakeholders in dementia research as the example. The outcomes include the creation of a process implementation model for Consumer and Community Involvement to inform policies and guidelines for research systems and funding. This process model will propel research forward and generate opportunities to maximise the health and social benefits of research, including significant translation of research into practice. Read moreRead less
Obstacles to Contract Enforcement in Indonesia. The Australia-Indonesia Comprehensive Economic Partnership (IA-CEPA) came into force in 2020 but foreign investment in Indonesia has consistently failed to meet targets, largely due to concerns about the lack of reliable and just judicial contract enforcement. This project aims to investigate why predictable and fair contract enforcement in Indonesia is so inaccessible, particularly for foreign investors, and, through doctrinal and empirical resear ....Obstacles to Contract Enforcement in Indonesia. The Australia-Indonesia Comprehensive Economic Partnership (IA-CEPA) came into force in 2020 but foreign investment in Indonesia has consistently failed to meet targets, largely due to concerns about the lack of reliable and just judicial contract enforcement. This project aims to investigate why predictable and fair contract enforcement in Indonesia is so inaccessible, particularly for foreign investors, and, through doctrinal and empirical research, explain the causes of this situation. In partnership with Indonesian courts and lawyers, it also aims to support the development of legal and policy reform proposals that can help resolve Indonesia’s commercial contract enforcement problems and encourage Australian investment there.Read moreRead less
A unified approach to the design of minimum length networks. This project aims to develop a new approach to designing minimum length interconnection networks by analysing their geometric structure. These networks form the basis of communication, power and transport systems. Optimising the design of such networks is a mathematically challenging problem of high computational complexity. This project will use an innovative method based on a relationship between the geometry of networks and a type o ....A unified approach to the design of minimum length networks. This project aims to develop a new approach to designing minimum length interconnection networks by analysing their geometric structure. These networks form the basis of communication, power and transport systems. Optimising the design of such networks is a mathematically challenging problem of high computational complexity. This project will use an innovative method based on a relationship between the geometry of networks and a type of partitioning of the plane called an oriented Voronoi diagram. The outcome will be efficient new algorithms for designing physical networks, which, in practice, will ultimately lead to a reduction in network infrastructure costs for industries in Australia.
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Discovery Early Career Researcher Award - Grant ID: DE240100042
Funder
Australian Research Council
Funding Amount
$339,237.00
Summary
Hybrid optimisation for coordinating autonomous trucks and drones. This project aims to build analytics for controlling a fleet of autonomous trucks and drones working in tandem to deliver retail goods and disaster relief. This project expects to develop new mathematical and artificial intelligence algorithms for routing and scheduling the vehicles and for directing the multi-modal transfer of goods between vehicles in real-time as traffic conditions change. Expected outcomes of this project inc ....Hybrid optimisation for coordinating autonomous trucks and drones. This project aims to build analytics for controlling a fleet of autonomous trucks and drones working in tandem to deliver retail goods and disaster relief. This project expects to develop new mathematical and artificial intelligence algorithms for routing and scheduling the vehicles and for directing the multi-modal transfer of goods between vehicles in real-time as traffic conditions change. Expected outcomes of this project include new theories and technologies that enable a central computer to remotely control the autonomous fleet for maximum efficiency. Benefits in transport and logistics include improved freight productivity through reducing costs and delivery times.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101215
Funder
Australian Research Council
Funding Amount
$445,461.00
Summary
New Bail Regimes: Reconceptualising Risk to Reduce Remand Imprisonment. More than one in three prisoners in Australia are on remand, double that of two decades ago. This project aims to investigate how risk management in new bail regimes affects accused individuals experiencing social disadvantage. It employs innovative critical criminological methods to generate much-needed knowledge about how criminal justice actors interpret and respond to risk in the bail decision-making process, and 'lived' ....New Bail Regimes: Reconceptualising Risk to Reduce Remand Imprisonment. More than one in three prisoners in Australia are on remand, double that of two decades ago. This project aims to investigate how risk management in new bail regimes affects accused individuals experiencing social disadvantage. It employs innovative critical criminological methods to generate much-needed knowledge about how criminal justice actors interpret and respond to risk in the bail decision-making process, and 'lived' experiences of bail conditions and remand imprisonment. Expected outcomes include a new framework for conceptualising risk in the context of bail. This should bring significant benefits to policymakers and law reformers seeking to reduce imprisonment and its impacts on disadvantaged groups.Read moreRead less
Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to ....Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to develop a novel machine learning approach to quantify the business-relevant information contained in textual information shared by customers online. This alternative approach will provide significant cost-saving benefits for a range of Australian companies, such as retailers, hotels, airlines and restaurants.Read moreRead less
Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents ex ....Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents extreme challenges due to the size and complexity of customer databases. The expected outcomes will enable Australian companies to attract and retain more customers, and make more efficient use of their marketing budget. Benefits include equipping companies to better compete domestically and globally.Read moreRead less
Large scale nonsmooth, nonconvex optimisation. This project aims to develop, analyse, test and apply (sub) gradient-based methods for solving large scale nonsmooth, nonconvex optimisation problems. Large scale problems with complex nonconvex objective and/or constraint functions are among the most difficult in optimisation. This project will generate new knowledge in numerical optimisation and machine learning. The use of structures and sparsity of large scale problems will lead to the developme ....Large scale nonsmooth, nonconvex optimisation. This project aims to develop, analyse, test and apply (sub) gradient-based methods for solving large scale nonsmooth, nonconvex optimisation problems. Large scale problems with complex nonconvex objective and/or constraint functions are among the most difficult in optimisation. This project will generate new knowledge in numerical optimisation and machine learning. The use of structures and sparsity of large scale problems will lead to the development of better models, and more accurate and robust methods. The expected outcomes of the project are ready-to-implement and apply numerical methods for solving large-scale, nonsmooth, nonconvex optimisation problems, as well as problems in machine learning and regression analysis.Read moreRead less
National research impact policies: Uncovering the ‘value’ in evaluation. This project aims to identify the conceptions of value that underpin national research impact policies and to examine the consequences for research activities, outputs, and outcomes. By studying four countries with different national policy approaches to research impact, it is expected that significant new knowledge about the role of research in society will be produced. Expected outcomes include a framework that links mark ....National research impact policies: Uncovering the ‘value’ in evaluation. This project aims to identify the conceptions of value that underpin national research impact policies and to examine the consequences for research activities, outputs, and outcomes. By studying four countries with different national policy approaches to research impact, it is expected that significant new knowledge about the role of research in society will be produced. Expected outcomes include a framework that links markers of value (i.e. what counts as valuable research) to research policy and assessment principles. Expected benefits include policy learnings to improve how research is evaluated in Australia, thereby enhancing the alignment between what is valued by those who fund research, those who produce it, and those who use it.Read moreRead less