Adress :
Laboratoire Jean Kuntzmann
Bâtiment IMAG
B.P. 53
38041 Grenoble cedex 9
Scientific leader :
Laurent Doyen
Tel: +33 4 57 42 17 30

Administrative assistant :
Aurore Barthélémy
Tel: +33 4 76 61 55 48

ASAR: Applied Statistics And Reliability

ASAR works on applied probability and statistics, based on practical application cases mainly issued from reliability problems.

Our objectives are:
  • - building and studying random models
  • - performing statistical inference for these models
  • - measuring the goodness-of-fit of these models
  • - implementing the associated software development

Our research ranges from applications to theory. As well as reliability, the team members also work on applications in medecine, biology, engineering, ...

ASAR takes over part of the activity of the former research team FIGAL.

Keywords: applied probability, applied statistics, reliability, maintenance, point processes, statistics of stochastic processes, Bayesian statistics, ageing, competing risks, recurrent events, graphical models in dependability, spatial statistics, teaching probability and statistics.

News and Events

Creation of ASAR research team, beginning of 2019.

Projects currently headed by the members of the team:

  • - PROCORE project, Modelling and Assessment of the Joint Effect of Ageing, Maintenance and Heterogeneity on Repairable System Reliability, partnership with the City University of Hong Kong, 2019-2020.
  • - PGMO project, Predictive maintenance strategy for systems submitted to multivariate degradation with dynamic covariates and imperfect maintenance, partnership with EDF R&D, 2018-2019.

Organization in Grenoble of the 10th International Conference on Mathematical Methods in Reliability (MMR 2017).

Last visits of foreign researchers :

  • - Gustavo L. Gilardoni (Université de Brasilia, Brésil), june-jully 2017.
  • - Xiujie Zhao (City University of Hong Kong, Chine), may-jully 2017.
  • - Sofiane Gasmi (Ecole Nationale Supérieure d'Ingénieurs de Tunis, Tunisie), march 2017.

PhD proposal 2020: Multivariate degradation in presence of different types of maintenance and covariate : modelling, inference and decision making.

Collaborations industrielles

Reasearchers of ASAR team regularly work with companies.

Recent collaborations:

  • - EDF R&D,
  • - Schneider Electric,
  • - GDF-Suez,
  • - Thales Avionics, ...