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Michael Döhler

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

PhD student supervision

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).


Inria Rennes – Bretagne Atlantique
Campus universitaire de Beaulieu
35042 Rennes

e-mail: michael.doehler(at)