Present Grants:
PANDORA
2024-2027
The mission of the PANDORA project is to develop an integrated AI-based framework that enables the efficient use of (possibly limited) real-world IoT datasets and enables robust/continual operation of AIoT systems at runtime.
2023-2026
DI-HYDRO aims to develop intelligent algorithms that use data from static, dynamic (e.g. IoT devices) and alternative sources (e.g. satellites) in order to predict the operating behavior of individual plants and clusters of hydroelectric plants.
SecDataGen
2024
SecDataGen is funded by the German-French Academy (GFA) that aims to support collaboration between IMT and TUM. SecDataGen leverages the power of AI to generate synthetic data that can be utilized by AI services.
MEDIATE
2024-2027
MEDIATE is funded by the European Commission (HORIZON-CL3-2023-CS-01-01). The mission of the project is to produce a robust technology to address the security and privacy attributes of the Computing Continuum. A complex architecture will be developed based on the concept of zero-trust to perform security-based scrutinisation at all continuum levels (IoT, Edge, Cloud).
CoEvolution
2024-2027
CoEvolution is funded by the European Commission (HORIZON-CL3-2023-CS-01-03). The mission of the project is to introduce a new STR (Security, Trust, and Robustness) paradigm based on Bills-of-Materials, offering a unified approach to describing AI models in supply chains, ensuring STR compliance with EU directives on trust, fairness, data governance, and GDPR guidelines.
Past Grants:
SmartCityBus
2020-2023
The main goal of SmartCityBus was the development of a smart transportation platform to efficiently define routes for better serving passengers and optimally use available resources.
