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. The optimized numerical approaches will allow enlarging the investigated parameter space during the optimization routine and to envision multi-objective schemes aimed at the concurrent evaluation of multiple
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among multiple turbines in order to optimize their performance through the implementation of appropriate control techniques. As part of the research activity, medium- and low-fidelity codes will be
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on supply chain performance from multiple perspectives, including sustainability, resilience, and reconfigurability. This research program aims at contributing both to academic research and to
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algorithms for problems related to information markets involving multiple rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
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intelligence algorithms for online action recognition and user monitoring using smart eyewear. The research will address the problem by leveraging multiple modalities, integrating different sensing sources
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learning models on wearable electronic circuits, devices, and platforms, with particular emphasis on smart eyewear. The research activities will address multiple application domains, including embedded