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Scheme : Discovery Early Career Researcher Award
Field of Research : Signal processing
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100206

    Funder
    Australian Research Council
    Funding Amount
    $403,000.00
    Summary
    Probing ultralight bosons with black holes and gravitational waves. This project aims to search for gravitational waves from ultralight boson clouds around black holes and to investigate the boson properties. It expects to generate new knowledge on currently undiscovered particles by combining cutting-edge theories and innovative signal-processing techniques. These particles are predicted to solve problems in particle and high-energy physics and are compelling dark matter candidates. Expected ou .... Probing ultralight bosons with black holes and gravitational waves. This project aims to search for gravitational waves from ultralight boson clouds around black holes and to investigate the boson properties. It expects to generate new knowledge on currently undiscovered particles by combining cutting-edge theories and innovative signal-processing techniques. These particles are predicted to solve problems in particle and high-energy physics and are compelling dark matter candidates. Expected outcomes include high-profile constraints on the particle properties and potential detection of new particles, new data-analysis techniques, and significantly enhanced capacity to build international and interdisciplinary collaborations. These should bring significant benefits to fundamental physics and cosmology.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230101391

    Funder
    Australian Research Council
    Funding Amount
    $426,118.00
    Summary
    Intelligent Physical Layer Security Protocols for Backscattering in IoT. This project aims to develop novel theories, system models, and energy-efficient optimisation algorithms to fight against eavesdropping and jamming attacks in backscatter communication networks. This project expects to advance knowledge in cybersecurity and sustainable communications by utilising passive tags for several confidential applications like human tracking and financial distributed systems. Expected outcomes inclu .... Intelligent Physical Layer Security Protocols for Backscattering in IoT. This project aims to develop novel theories, system models, and energy-efficient optimisation algorithms to fight against eavesdropping and jamming attacks in backscatter communication networks. This project expects to advance knowledge in cybersecurity and sustainable communications by utilising passive tags for several confidential applications like human tracking and financial distributed systems. Expected outcomes include vital technologies required in practically realising the ubiquitous deployment of low-cost sustainable wireless devices in Internet-of-Things. This should significantly benefit the Australian industry, society and economy regarding reduced energy costs, enhanced spectrum efficiency, and improved communication security.
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