I am a research scientist (CR) at Inria in Rennes.
Research interests / field of activity
My research relates to statistical and numerical aspects of system identification and fault diagnosis in the context of vibration-based Structural Health Monitoring (SHM). My objectives are methods that are fast and robust in operation conditions, while ensuring numerical feasibility for realistic problem sizes.
- Subspace-based system identification
- Uncertainty quantification
- Fault detection and isolation
- Damage detection, localization and quantification
Short bio
I received the Diplom (equivalent to Master degree) at Chemnitz University of Technology, Germany, in Industrial Mathematics in 2008. After spending three years as a PhD student at Inria Rennes under the supervision of Laurent Mevel, I received the PhD degree in Applied Mathematics from Université de Rennes 1 in France in 2011. During this time, I spent six months as a Marie Curie fellow in the company Structural Vibration Solutions A/S, Aalborg, Denmark. My PhD thesis got the Foundation Rennes 1 Doctorate Award 2012. After postdocs at Northeastern University in Boston, USA in 2012 and at BAM Federal Institute for Materials Research and Testing in Berlin, Germany in 2013 I joint Inria as a research scientist in December 2013.
Recent highlights
- Best innovative paper award at IOMAC 2017 conference
- Best theoretical paper nomination at IFAC SAFEPROCESS 2015
- Invited talk at the public session of the French Academy of Sciences at their stay in Rennes, 13/05/2014 (video).
- Young Researcher Prize 2013 of the Bretagne region (video), articles in Ouest France and Sciences Ouest
PhD student supervision
- Zhilei Luo (Inria, with Q. Zhang and V. Baltazart), ongoing: Vision-based vibration monitoring of civil structures
- Eva Viefhues (BAM Germany, with L. Mevel), 2021: Subspace-based damage detection in engineering structures considering reference uncertainties and temperature effects
- Alexander Mendler (University of British Columbia, with C. Ventura), 2020: Minimum diagnosable damage and optimal sensor placement for structural health monitoring
- Delwar Bhuyan (Bretagne funding, with L. Mevel, F. Schoefs and Y. Lecieux), 2017: Statistical transfer matrix-based damage localization and quantification
- Saeid Allahdadian (University of British Columbia, with C. Ventura), 2017: Robust statistical subspace-based damage assessment
- Luciano Marin (with L. Mevel and D. Bernal), 2013: Statistical decision making for stochastic damage localization approaches
Recent projects
- ANR France Relance (2022-2024), PI, with Sercel
- PROCOPE (2017-2018), PI, for exchange with BAM Federal Institute for Materials Research and Testing, Berlin, Germany.
- Innobooster (2017-2018), PI, Danish development and transfer action, with SVS.
- COST Action TU1402 (2014-2019) on quantifying the value of structural health monitoring. Co-leader of working group 2 (SHM strategies and structural performance).
Contact
Inria Rennes – Bretagne Atlantique
Campus universitaire de Beaulieu
35042 Rennes
e-mail: michael.doehler(at)inria.fr
