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predict the evolution of human-robot collaboration, with advanced planning and control strategies for physical interaction. It is also necessary to experimentally validate such systems in real scenarios
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methodologies for measuring social and environmental impact. The main activities will include analyzing available impact data sources, designing models for impact assessment, and developing algorithms
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networks. The activities will include the development of algorithms for processing seismic and geodetic signals, subsurface imaging, dynamic characterization of sites and structures, as well as monitoring
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at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising
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. The candidate will work on wind turbine and wind farm control, developing innovative control algorithms and validating them through wind tunnel testing. The candidate will also be responsible for teaching
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of mathematical models of biological processes or phenomena, in the presence and absence of pathologies. - - Development and validation of algorithms for the processing of diagnostic biosignals, also using