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optimization of advanced reconstruction and control algorithms, combining numerical modeling, inverse problem techniques, and AI-driven approaches, together with experimental validation to improve imaging
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on the design, optimization, analytical and numerical evaluation of the performance and practical implementation of novel linear and non-linear backscatter-based identification and sensing transponders and
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based on nanocrystalline material. Starting from material treat gment and testing, analytical solution based on vector potential, through the numerical FEM model, physical model and prototype
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data, numerical simulations, and data-driven approaches to uncover structure–property–process relationships and enable predictive modeling. Particular emphasis will be placed on state-of-the-art
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Description The Industrial Informatics group at FEE/RICE is focused on the application of advanced optimization techniques to: i) design of new electro-mechanical devices using numerical simulations, ii) system