Dr. Mohammed El Fallaki Idrissi | Composite Materials Award | Best Researcher Award
Doctor of Philosophy at Arts et Métiers institute of technologies/ LEM3, Ethiopia.
Dr. Mohammed El Fallaki Idrissi is a dedicated researcher with a strong academic background and diverse experiences in mechanics and materials science. He was recently awarded a Ph.D. after conducting extensive studies on digital, virtual, and hybrid twins, alongside multiscale simulation of composite materials. His specialization includes implementing model order reduction techniques and utilizing Artificial Intelligence models to advance the understanding and analysis of composite materials across various scales.
Professional Profiles:
Education:
Dr. Mohammed El Fallaki Idrissi pursued his academic journey with a focus on advanced materials and data science. He completed his Ph.D. at Arts et Métiers Institute of Technology, France, from 2020 to 2023, specializing in multi-scale modeling and simulation of composite materials, along with data-driven computational mechanics of composite materials/real-time simulations. Prior to his Ph.D., he obtained a Master’s degree in Material Science and Engineering from the same institute, graduating in 2020. His Master’s thesis centered on materials and manufacturing engineering, specifically in the area of experimental and numerical investigation of materials. Before his time in France, Dr. El Fallaki Idrissi completed his Engineering Master’s Degree in Mechanical Engineering at the National School of Arts and Crafts, Morocco, from 2016 to 2020. His specialization during this period was in aeronautical and automotive engineering studies, focusing on new product design and material selection processes.
Experience:
Dr. Mohammed El Fallaki Idrissi is a skilled Data Scientist and Mechanical Research Engineer with diverse experience in the field. From 2020 to 2023, he worked at the Chair ESI Group-AMVALOR in France, focusing on computational vademecum and virtual charts for optimization and real-time simulation of complex problems. He also created digital and hybrid twins for composite structures. In 2020, he completed an internship at LEM3 in France, working on modeling and simulation of shape memory alloys. Prior to his time in France, he gained experience in mechanical design, analyses, and maintenance during internships in Morocco, where he worked on projects ranging from designing marking devices to conducting static, dynamic, and fatigue studies of chairs.
Training:
In 2022, Dr. Mohammed El Fallaki Idrissi participated in the CISM-ECCOMAS Summer School in Italy, focusing on Data-Driven Mechanics with a Constitutive Model-Free Approach. This summer school covered the model-free data-driven paradigm for computational solid mechanics, ranging from imaging to data-driven numerical simulation in nonlinear mechanics of structures. In 2021, he attended the Computational Materials Science Summer School at Texas A&M University in the USA. This program aimed to investigate materials phenomena at multiple scales, ranging from the continuum to the electronic structure level. Also in 2021, Dr. El Fallaki Idrissi participated in the EIT Manufacturing Summer School, organized by the European Institute of Innovation & Technology in Hungary and the University of Tartu in Estonia. This summer school focused on design thinking, proof of concept, ROS (Robot Operating System), and levels of autonomy.
Teaching:
During his time at Arts et Métiers Institute of Technology in Metz, France, from 2020 to 2023, Dr. Mohammed El Fallaki Idrissi engaged in practical work focused on energetic fluid mechanics and heat transfer. These practical experiences would have provided him with hands-on exposure to fundamental concepts and applications in these areas of study. Energetic fluid mechanics likely covered topics related to the behavior of fluids in motion and their energy interactions, while heat transfer would have explored the mechanisms of heat exchange between different mediums and surfaces. These practical sessions would have complemented his theoretical knowledge, providing him with valuable insights and skills applicable to various engineering and research contexts.