Mohammed EL FALLAKI IDRISSI | Composite materials | Young Scientist Award

Ā Dr . Mohammed EL FALLAKI IDRISSI | Composite materials | Young Scientist Award

šŸ‘Øā€šŸ«Profile Summary

Dedicated researcher with a strong academic background and diverse experiences in mechanics and materials science. Recently awarded a PhD after conducting extensive studies on digital, virtual, and hybrid twins, alongside multiscale simulation of composite materials. Specialized in implementing model order reduction techniques and utilizing Artificial Intelligence models to advance the understanding and analysis
of composite materials across various scales.

šŸŒ Professional Profiles

šŸŽ“ Education

PhD in Advanced Materials and Data Science Arts et MĆ©tiers Institute of Technology – LEM3-PIMM, France Multi-scale Modeling and Simulation of Composite Materials. Data-Driven Computational Mechanics of Composite Materials/ Real-time Simulations. 2020 – 2023 Masterā€™s Degree in Material Science and Engineering Arts et MĆ©tiers Institute of Technology, France Materials and Manufacturing Engineering. Experimental and Numerical Investigation of Materials. 2019-2020 Engineering Masterā€™s Degree in Mechanical Engineering National School of Arts and Crafts, Morocco Aeronautical and Automotive Engineering Studies. New Product Design and Material Selection Process. 2016-2020

šŸ”¬ Experience

Data Scientist and Mechanical Research Engineer Chair ESI Group-AMVALOR, France Constructing Computational Vademecum & Virtual Charts for Optimization and Real-Time Simulation of Complex Problems. Creating Digital & Hybrid Twin for Composite Structures. 2020-2023 Research Engineer in Material Science (Internship) LEM3, France Modeling and Simulation of Shape Memory Alloys. Creating and Meshing Microstructures using experimental data obtained from 3DXRD. 2020 Mechanical Design Engineer (Internship) CERIMME, Morocco Design of a marking device metal for tensile specimen to measure the elongation according to ISO 6892. 2019 Mechanical Analyses and Tests Engineer (Internship) CTIBA, Morocco Static, Dynamic and Fatigue Study of a Chair using test machines and AFNOR Standards. Validation of results by numerical simulation. 2018 Mechanical Maintenance Technician (Internship) Stellantis, Morocco Design and simulation of an educational model of Common Rail MultiJet Diesel Engine 2 Euro 6. Diagnosis of car problems. 2017

šŸ’¬ Communication Skills

  • Languages:
    • English: Fluent
    • French: Bilingual
    • Arabic: Mother Tongue
  • MT 180 – My Thesis in 180 Seconds
    • Hesam University, France
    • Presentation and research communication skills.
    • 2022

šŸ‘Øā€šŸ« Teaching Assistantship

Arts et MĆ©tiers Institute of Technology, Metz, FRANCE Practical Work in Energetic Fluid mechanics and Heat Transfer. 2020-2023

šŸ—£ļø Conferences & Talks

COMPLAS (XVII International Conference on Computational Plasticity) Constitutive modeling of woven composites based on Artificial Neural Networks informed by multi-scale analyses. September 2023, Barcelona, Spain Meca-J Intelligence Artificielle pour la ModĆ©lisation multi-Ć©chelle des structures composites. August 2023, Metz, France JNC (Journee Nationale sur les Composites) Non-intrusive PGD towards real-time multiparametric simulation of nonlinear response for woven composite involving microstructural parameters. July 2023, BesanƧon, France DeuxiĆØme Campus CassiopĆ©e Model Order Reduction and Machine Learning for Multiscale Modeling of Composite Structures. November 2022, Paris, France ECMC (11th European Solid Mechanics Conference) Non-Intrusive PGD for real-time prediction of macroscopic stiffness properties of woven composites. July 2022, Galway, Ireland JournĆ©e NumĆ©rique Model reduction of periodic homogenization towards real-time prediction of the macroscopic response of woven fabric reinforced composite. July 2022, Metz, France

šŸ“šTop Noted Publication

  1. Year: 2022
    • Journal: Composite Structure Journal
    • Title: Multiparametric modeling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites.

 

  1. Year: 2023
    • Journal: Journal of the Mechanics and Physics of Solids
    • Title: Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards Fast and Frugal Inelastic Computation of Woven Composite Structures.

 

  1. Year: 2023 (under process)
    • Journal: Composite Structure Journal
    • Title: Multiparametric modeling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time virtual testing of woven composites.