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Politecnico di Milano, SIGMA Lab
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Portrait of Salvatore Annunziata

Salvatore Annunziata

PhD Student · Cycle 39

Supervised by Andrea Manes

salvatore.annunziata@polimi.it
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Research

Salvatore’s research focuses on the design and optimization of protective structures, ranging from conventional isotropic plates to architected metamaterials optimized through neural networks.

Teaching

  • Teaching assistant in 2025/2026

    Machine Design

    MSc Aeronautical Engineering · 6 CFU · 2nd semester · Milano Bovisa

    Lecturer: Andrea Manes

    Course sheet

Courses of 2026/2027, from the Politecnico’s course sheets. All the group’s courses

Research in images

Neural-network predictions against finite element results for Kelvin and octagonal lattices: Young’s modulus, absorbed energy and plateau stress.
Neural-network predictions against finite element results for Kelvin and octagonal lattices: Young’s modulus, absorbed energy and plateau stress.
Protective elements laid out on a vehicle model, with the incoming threat directions as dashed lines: overall, front and bottom-side views.
Protective elements laid out on a vehicle model, with the incoming threat directions as dashed lines: overall, front and bottom-side views.