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Research Topic : Affective computing
Scheme : Linkage - International
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  • Funded Activity

    Linkage - International - Grant ID: LX0346868

    Funder
    Australian Research Council
    Funding Amount
    $60,534.00
    Summary
    Design of Secure Electronic Voting Systems. It is inevitable that electronic voting will eventually replace current paper based voting schemes. The main outcome of the research will be the fundamental knowledge required to develop secure electronic voting schemes. The security aspects of the design will be thoroughly analysed to ensure that the integrity of the ballot is maintained without compromising user privacy. The practical aspects of implementing such a system will also be investigated .... Design of Secure Electronic Voting Systems. It is inevitable that electronic voting will eventually replace current paper based voting schemes. The main outcome of the research will be the fundamental knowledge required to develop secure electronic voting schemes. The security aspects of the design will be thoroughly analysed to ensure that the integrity of the ballot is maintained without compromising user privacy. The practical aspects of implementing such a system will also be investigated and a prototype implementation provided. The project will combine the expertise in electronic voting schemes at QUT with that of Dr Lee.
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    Funded Activity

    Linkage - International - Grant ID: LX0454434

    Funder
    Australian Research Council
    Funding Amount
    $45,000.00
    Summary
    Sequence Data Analysis. Sequence data analysis is about extracting information included in sequences of data in which the order of sequence matters. The project aims to work with two well known research groups in Germany with complimentary expertise to support two applications in this area: analysis of biological sequence data and detection and classification of sequence images, both with a very high significance to research and industry. It is planned to investigate on the diversity and the com .... Sequence Data Analysis. Sequence data analysis is about extracting information included in sequences of data in which the order of sequence matters. The project aims to work with two well known research groups in Germany with complimentary expertise to support two applications in this area: analysis of biological sequence data and detection and classification of sequence images, both with a very high significance to research and industry. It is planned to investigate on the diversity and the commonality in both applications leading to better and faster algorithms and their hardware implementations. It is expected to train high quality postgraduates and postdoctoral fellows at Melbourne and the host institutions.
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