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Status : Active
Research Topic : programming
Australian State/Territory : NSW
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240103194

    Funder
    Australian Research Council
    Funding Amount
    $514,737.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102167

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical softwar .... Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical software infrastructures are built. This will significantly enhance the security of public and private cyber assets, and deliver applications that are more robust and trustworthy, across a range of critical infrastructure such as transportation, communication, energy and defence.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP200200805

    Funder
    Australian Research Council
    Funding Amount
    $395,000.00
    Summary
    Tuning parallel applications on software-defined supercomputers. Supercomputers are used by many Australian industries and laboratories to make better products and perform critical predictions, and it is essential that codes operate efficiently. This project aims to assist programmers in identifying performance bottlenecks in their code quickly and easily. The project expects to supersede the current methods, which are often complex and time-consuming, by developing innovative software tools and .... Tuning parallel applications on software-defined supercomputers. Supercomputers are used by many Australian industries and laboratories to make better products and perform critical predictions, and it is essential that codes operate efficiently. This project aims to assist programmers in identifying performance bottlenecks in their code quickly and easily. The project expects to supersede the current methods, which are often complex and time-consuming, by developing innovative software tools and techniques. The expected outcomes include novel software, verified by industry partners in real world case studies, ranging from life sciences to hypersonic transport. This should provide significant benefits, including the capacity for Australian industries to access world-class supercomputing technology.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210102409

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Detecting Asynchronous Event-Driven Order Violations in Android Apps. This project aims to develop an event-interleaving analysis for detecting asynchronous event-driven order violations in Android apps. This project therefore expects to deliver a program analysis foundation that can provide stronger security guarantees than the state of the art against advanced exploits that abuse such asynchronous vulnerabilities. The intended outcomes of this project are a new program analysis technology and .... Detecting Asynchronous Event-Driven Order Violations in Android Apps. This project aims to develop an event-interleaving analysis for detecting asynchronous event-driven order violations in Android apps. This project therefore expects to deliver a program analysis foundation that can provide stronger security guarantees than the state of the art against advanced exploits that abuse such asynchronous vulnerabilities. The intended outcomes of this project are a new program analysis technology and an industrial-strength open-source framework that can significantly raise the bar on mobile software quality and security for Android, the dominant smartphone platform accounting a current market share at 87.0% with 2.9 million apps at Google Play in December 2019.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102142

    Funder
    Australian Research Council
    Funding Amount
    $460,000.00
    Summary
    Design and verification of correct, efficient and secure concurrent systems. This project aims to provide methods for the design and verification of correct, secure and efficient concurrent software that are scalable and mechanised. Computers with multiple processors are now the norm and are used in a wide range of safety, security and mission critical software applications such as transport, health and infrastructure. These multi-core architectures have the potential to lead to important effici .... Design and verification of correct, efficient and secure concurrent systems. This project aims to provide methods for the design and verification of correct, secure and efficient concurrent software that are scalable and mechanised. Computers with multiple processors are now the norm and are used in a wide range of safety, security and mission critical software applications such as transport, health and infrastructure. These multi-core architectures have the potential to lead to important efficiency gains, but can introduce complex and error-prone behaviours that cannot be managed using traditional software development approaches. This project will produce better, scalable and mechanised methods for the design and verification of such software which is expected to reduce the prevalence of failures in efficient, modern software.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103718

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    Edge-Accelerated Deep Learning. Implementing deep learning (DL) applications usually requires a large amount of collected data and powerful computing resources in the cloud. However, this centralised approach has issues of high latency, large bandwidth usage, and possible privacy violation for many practical applications. Without properly addressing these issues, the wider application of DL in practice will seriously be hindered. This project aims to solve several key challenging problems in eff .... Edge-Accelerated Deep Learning. Implementing deep learning (DL) applications usually requires a large amount of collected data and powerful computing resources in the cloud. However, this centralised approach has issues of high latency, large bandwidth usage, and possible privacy violation for many practical applications. Without properly addressing these issues, the wider application of DL in practice will seriously be hindered. This project aims to solve several key challenging problems in effective deployment and efficient execution of DL applications in a distributed edge-computing environment. Several innovative edge-computing methods will be developed for DL training, inference and implementation to achieve high performance with low latency and enhanced privacy.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240101469

    Funder
    Australian Research Council
    Funding Amount
    $395,082.00
    Summary
    Improving Resilience of MCDI for Water Supply in Remote Communities . The AIM of this project is the development of robust, PV-powered water treatment units based on the emerging technology of Membrane Capacitive Deionisation (MCDI). The development of a more resilient approach to provision of potable water is particularly SIGNIFICANT to remote indigenous communities in central Australia where brackish groundwaters are unsuitable for use without prior treatment. EXPECTED OUTCOMES include develop .... Improving Resilience of MCDI for Water Supply in Remote Communities . The AIM of this project is the development of robust, PV-powered water treatment units based on the emerging technology of Membrane Capacitive Deionisation (MCDI). The development of a more resilient approach to provision of potable water is particularly SIGNIFICANT to remote indigenous communities in central Australia where brackish groundwaters are unsuitable for use without prior treatment. EXPECTED OUTCOMES include development of resilient MCDI units incorporating innovative control of the charging and discharging cycles using "smart” (machine learning enabled) Digital Twins of these units. These MCDI units will BENEFIT any community requiring removal of contaminants from brackish waters without the need for external mains power supply.
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    Showing 1-7 of 7 Funded Activites

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