Ownership-based Alias Analysis for Securing Unsafe Rust Programs. This project aims to develop an ownership-based alias analysis as a complement to Rust's ownership type system for improving Rust's memory safety. This project, therefore, expects to deliver an alias analysis foundation that can provide stronger memory safety guarantees than the state-of-the-art in detecting memory-safety violations and security vulnerabilities in real-world Rust programs that use unsafe language features. The exp ....Ownership-based Alias Analysis for Securing Unsafe Rust Programs. This project aims to develop an ownership-based alias analysis as a complement to Rust's ownership type system for improving Rust's memory safety. This project, therefore, expects to deliver an alias analysis foundation that can provide stronger memory safety guarantees than the state-of-the-art in detecting memory-safety violations and security vulnerabilities in real-world Rust programs that use unsafe language features. The expected outcomes are a deployable ownership-based alias analysis in the Rust compiler and an industrial-strength open-source framework. These outcomes are expected to provide significant benefits in improving software quality and security in Rust, an emerging language that offers both performance and safety.Read moreRead less
Provably Correct on-chip Communication-based Design. This project falls in the priority area of Frontier Technologies for Building and Transforming Australian Industries. Embedded systems have complex communication architectures and functionalities due to their mission- and time-critical applications. This project will develop verifiable algorithms and techniques for design reuse to address them, help solve outstanding problems in the VLSI/SoC community and to lift the country's visibility and ....Provably Correct on-chip Communication-based Design. This project falls in the priority area of Frontier Technologies for Building and Transforming Australian Industries. Embedded systems have complex communication architectures and functionalities due to their mission- and time-critical applications. This project will develop verifiable algorithms and techniques for design reuse to address them, help solve outstanding problems in the VLSI/SoC community and to lift the country's visibility and credibility in the area. The economic benefits are better techniques for design reuse for embedded systems that may be integrated into existing Computer Aided Design environments, with potential to commercialise the algorithms to Electronic Design Automation and vendors.Read moreRead less
Next-generation spatial keyword search. Spatial keyword search is like a normal web search plus additional location information, which helps users to obtain a better ranking of results by considering the spatial proximity. The success of this project will deliver a next-generation spatial keyword search system that overcomes the severe usability limitations experienced by users today.
Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage ....Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage capabilities, including graphics processor and flash-based memory. This project will devise an adaptive key-value store framework for heterogeneous systems. Our new framework will adaptively harvest the performance potential of future hardware such that applications can cope with fast-growing data sets.Read moreRead less
Providing End-to-End Quality of Service to Internet Applications. Current Internet only supports limited quality of service (QoS) within isolated domains. This project allows critical applications to be deployed over the global Internet. The project employs a programmable architecture for composing services and intelligent software elements for negotiating acceptable QoS responses for individual application flows over multiple administrative domains. The architecture employs DiffServ's aggregati ....Providing End-to-End Quality of Service to Internet Applications. Current Internet only supports limited quality of service (QoS) within isolated domains. This project allows critical applications to be deployed over the global Internet. The project employs a programmable architecture for composing services and intelligent software elements for negotiating acceptable QoS responses for individual application flows over multiple administrative domains. The architecture employs DiffServ's aggregation property to make it scalable for the Internet core. Successful outcomes would open the floodgates, allowing the development and deployment of applications such as high quality videoconferences, live sport broadcasts, remote medical services, network games, real-time on-line educations, and multimedia distributions.
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Fair Intelligent Quality of Service Control and Path Discovery Mechanisms for Internet Scalable Architectures. Until now the Internet only provides best effort service without guaranteeing the timeliness or actual delivery of data. Quality of Service (QoS) architectures have been proposed but not deployed due to a fundamental problem: either the architecture is not scalable or it does not guarantee end-to-end QoS. The project tackles the problem by introducing mechanisms for network path discove ....Fair Intelligent Quality of Service Control and Path Discovery Mechanisms for Internet Scalable Architectures. Until now the Internet only provides best effort service without guaranteeing the timeliness or actual delivery of data. Quality of Service (QoS) architectures have been proposed but not deployed due to a fundamental problem: either the architecture is not scalable or it does not guarantee end-to-end QoS. The project tackles the problem by introducing mechanisms for network path discovery in the network core. The solution allows an integration of both scalability and end-to-end QoS architectures. The outcomes allow network providers to provision network resources efficiently, to develop competitive Internet-based products; and the service providers to develop quality services such as high quality IP phone, multimedia distributions.
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Grid Computing for Phylogenetic Analysis. This interdisciplinary project relates to information technology and bioinformatics, which both can be classified as Frontier Technology in the priority areas outlined by the ARC. Grid computing and using the state-of-art IT technologies to solve grand challenging problems in phylogenetic analysis are forefront research topics in information technology and bioinformatics. The analytical results and new technologies obtained in this project will certainly ....Grid Computing for Phylogenetic Analysis. This interdisciplinary project relates to information technology and bioinformatics, which both can be classified as Frontier Technology in the priority areas outlined by the ARC. Grid computing and using the state-of-art IT technologies to solve grand challenging problems in phylogenetic analysis are forefront research topics in information technology and bioinformatics. The analytical results and new technologies obtained in this project will certainly have significant implications in the relevant areas. New platforms and software developed could have commercial value. It is of great significance that Australia maintains its pioneering position and international reputation in research in Grid computing and its applications.Read moreRead less
Deep correction of DNA sequencing errors by data mining algorithms. This project aims to investigate the many layers of error correction problems in the terabytes of genomic sequence data, and aims to solve these problems by novel data mining algorithms. High-throughput sequencing platforms have generated massive amounts of useful raw data, but also made widespread errors. The new algorithms are capable of correcting errors at deeper layers to further enhance data quality. Expected outcome inclu ....Deep correction of DNA sequencing errors by data mining algorithms. This project aims to investigate the many layers of error correction problems in the terabytes of genomic sequence data, and aims to solve these problems by novel data mining algorithms. High-throughput sequencing platforms have generated massive amounts of useful raw data, but also made widespread errors. The new algorithms are capable of correcting errors at deeper layers to further enhance data quality. Expected outcome includes the knowledge advancement of genomic data industry and interdisciplinary collaboration between biotechnology and data mining. This also provides significant benefit for genomic decisions in forensics and personalised medicine which demand accurate genomic information.Read moreRead less
Toward Human-guided Safe Reinforcement Learning in the Real World. This project aims to investigate human-guided safe reinforcement learning (RL). Safe RL is an important topic that could enable real applications of RL systems by addressing safety constraints. Existing safe RL assumes the availability of specified safety constraints in mathematical or logical forms. This project proposes to study learning safety objectives from information provided directly by humans or indirectly via language m ....Toward Human-guided Safe Reinforcement Learning in the Real World. This project aims to investigate human-guided safe reinforcement learning (RL). Safe RL is an important topic that could enable real applications of RL systems by addressing safety constraints. Existing safe RL assumes the availability of specified safety constraints in mathematical or logical forms. This project proposes to study learning safety objectives from information provided directly by humans or indirectly via language models, and human-guided continuous correction for safety improvements. The established theories and developed algorithms will advance frontier technologies in AI and contribute to a wide range of real applications of safe RL, such as robotics and autonomous driving, bringing enormous social and economic benefits. Read moreRead less
User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating conc ....User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating concepts, designs, products and advanced training systems in industry and government organisations. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimised. Intended outcomes include novel dynamic user-task profiling algorithms and new adaptive algorithms for user-task co-adaptation. Practical outcomes may include robust and highly effective simulation environments.Read moreRead less