Dimitri Goutaudier
Welcome! I am a CNRS researcher in DISCOH team since November 2023. I develop hybrid twins for intelligent dynamical systems in mechanical engineering.
I am interested in engineering structures and industrial processes which proficiently use sensor measurements to:
identify parameters of interest,
predict future states,
detect anomalies or damages,
update their underlying models.
I combine advanced model order reduction techniques, physics-based and/or data-driven, with original inverse methods using sparse networks of sensors.
Research interests
Hybrid modeling
Model order reduction
Data-driven techniques
- Dynamical systems
CV
Nov. 2023-today: CNRS researcher, PIMM Laboratory, Arts et Métiers, Paris, France
2021-2023: Postdoctoral researcher, EPFL, Lausanne, Switzerland
2019-2021: Postdoctoral researcher, CNRS, PIMM Laboratory, Arts et Métiers, Paris, France
2016-2019: PhD in Mechanical Engineering, ONERA, Airbus, Cnam, Paris, France
Honors and awards
2021: Best paper award, Association of European Research Establishments in Aeronautics (EREA)
2020: Prix Jeunes Actifs, Association Aéronautique et Astronautique de France (3AF)
2019: PhD award, Department of Materials and Structures, ONERA