Mohamed Belkaid

Marie Skłodowska-curie Doctoral Candidate Within Metacmed Project @Università Della Calabria

Cosenza, IT

Research Focus: Spearheading AI/ML-driven computational design of acoustic/mechanical metamaterials (MMs) and phononic crystals (PCs) to advance adaptive material science.Key Responsibilities:Developing finite element method (FEM) simulation pipelines to generate large-scale databases of 2D/3D metamaterial structures with randomized geometries and mechanical properties.Designing deep learning models to predict novel metamaterial configurations, optimize performance, and benchmark results against state-of-the-art designs.Leading cross-disciplinary collaborations with CNRS (France), University of Messina, and OrthoSens (Switzerland) to validate AI models experimentally.Investigating applications in biomedical devices, particularly spinal auxetic metamaterials for tunable biomechanical properties.Technical Skills: Python, TensorFlow/PyTorch, FEM software (e.g, COMSOL/ANSYS), data-driven material design, ML model validation.Impact: Accelerating discovery cycles for next-generation metamaterials by integrating AI with computational physics, contributing to innovations in medical devices and adaptive materials.