Dimitri Goutaudier

Dimitri Goutaudier is a CNRS Researcher at the PIMM Laboratory (Laboratoire Procédés et Ingénierie en Mécanique et Matériaux), a joint research unit of CNRS and Arts et Métiers Institute of Technology in Paris, France. He has been with the institution since November 2023, working in the DISCOH research team. His research focuses on hybrid modeling and dynamical systems in mechanical engineering, specifically developing intelligent systems that utilize sensor networks for real-time analysis and model updating.

Education:

• PhD in Mechanical Engineering (2016-2019): Conducted at ONERA (The French Aerospace Lab) in collaboration with Airbus and CNAM, Paris, France

Research Interests: Goutaudier specializes in Hybrid Modeling, Model Order Reduction, Data-Driven Techniques, and Dynamical Systems. His work aims to create intelligent engineering solutions where sensor measurements enable parameter identification, state prediction, anomaly detection, and model updating. He pioneers methodologies that merge physics-based and data-driven approaches with inverse techniques using sparse sensor networks, advancing predictive capabilities in mechanical systems.

Scientific Awards:

• 2021: Best paper award from the Association of European Research Establishments in Aeronautics (EREA)
• 2020: Prix Jeunes Actifs from the Association Aéronautique et Astronautique de France (3AF)
• 2019: PhD award from the Department of Materials and Structures at ONERA

Research Environment: He is affiliated with the DISCOH research team within the PIMM Laboratory at Arts et Métiers Institute of Technology. The DISCOH team focuses on cutting-edge research in mechanical engineering dynamics, developing hybrid modeling frameworks for industrial applications with emphasis on sensor integration and computational efficiency.