Research Project
ENCRYPT: a scalable and practical privacy preserving framework
ENCRYPT develops a recommendation engine for citizens and end-users, providing them with personalised suggestions on privacy. The framework considers the needs and preferences of relevant actors, and is validated in a comprehensive, 3-phase validation campaign, comprising in-lab validation tests, use cases provided by consortium partners and external use cases including privacy preserving computations on federated medical datasets. Engineering contributes to the definition of the Methodological IoT Trust and Identity Framework ans is involved in the system integration, validation, and evaluation of the solution.
EU co-founding project, contract No. 101070670
Improved technologies for cyber threat intelligence and data sharing
Promotion of GDPR compliant European data spaces for digital services and research
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Brescia: Sustainable Mobility Becomes a Game
An app to encourage sustainable behaviors by promoting the use of public and private transport, as well as private and shared bicycles for commuting.
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A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.
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Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
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