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lines of research include percolation and interacting random walks, population dynamics and genetic models, information propagation models, characterizers in dynamical systems and inference, and modeling
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lines of research include percolation and interacting random walks, population dynamics and genetic models, information propagation models, characterizers in dynamical systems and inference, and modeling
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incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in
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performance in the PhD course; articles in international journals on the subject of the fellowship project; experience in modeling, numerical simulations, and computational programs of chaotic particle
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simulations, we will explore the role of Atlantic SST-based modes in modulating MHWs occurrences and associated physical mechanisms from interannual to multidecadal timescales. This project will contribute to a