MATHMET

The European Centre for
Mathematics and Statistics in Metrology

Description

The LNE (Laboratoire National de Métrologie et d’Essais) is committed to excellence in measurement and testing and to progress in quality and safety for the benefit of industries. LNE’s public service mission allows LNE to:

  • Operate as the national reference laboratory in metrology for French industry. LNE’s most important task is to maintain and develop the national standards and to disseminate them to French industries, for example in the nuclear, space, automotive, military and aeronautic fields;
  • Pursue its scientific and technological development in order to anticipate new measurements and testing requirements created by advances in technology and society’s new expectations;
  • Provide the technical assistance required by industry to develop new test methods and new regulations and standards at European and international levels.

The laboratory offers a full range of technical conformity services, from calibration and testing to technical assistance and training. It has a staff of about 700 employees of whom about half are graduates.
The department ‘Mathematics and Statistics’, which is composed of six scientists and engineers, provides statistical tools and training sessions for data analysis and evaluation of measurement uncertainties. Through its membership in national and international scientific and industrial bodies, it will ensure that the results of this project’s research will be widely broadcast in metrology laboratories as well as in industrial and statistical communities. Researchers of this department have already been successfully involved in the former iMERA-Plus JRP T2.J10 ‘Tracebioactivity’ and the EMRP JRP IND09 ‘Traceable dynamic measurement for mechanical quantities’ in collaboration with PTB, SP and NPL.
The activities in these experimental areas are supplemented and supported by experts of the department ‘Mathematics and Statistics’ to provide statistical tools for data analysis and evaluation of measurement uncertainties.
 

Key personnel

Nicolas Fischer

Principal researcher in statistics and is head of the mathematics and statistics department at LNE.

Contact directly: EmailNicolas

Alexandre Allard

Alexandre Allard received a Master degree in Statistics from the Statistics Institute of the University Pierre et Marie Curie in Paris. He joined LNE’s Mathematics and Statistics Department in 2007. He’s involved in research activities (EMRP JRP NEW04, FP7 QUANTIHEAT) concerned with the development of statistical analysis for the evaluation of measurement uncertainty.
His activities are mainly related to the evaluation of measurement uncertainty, in particular the Monte Carlo methods. He chaired a working group within the French Agency for Standardization (AFNOR) for the development of a guide for the application of the Monte Carlo method for the evaluation of measurement uncertainty. He was involved in the development of the recently published software LNE-MCM. He’s also responsible for a training course related to the propagation of distributions according to the supplement 1 to the GUM.
He is also interested in sensitivity analysis for the quantification of the contribution of input quantities to the variance of an output quantity, in conformity assessment or in Bayesian methods for metrology.

Contact directly: EmailAlexandre

Severine Demeyer

Séverine Demeyer received a PhD in Statistics from Conservatoire National des Arts et Métiers (Paris) in 2011 applied to metrology at LNE. After a postdoctoral year at CEA (Commissariat à l’Energie Atomique et aux Energies Alternatives), she moved back to LNE in 2012. She was involved in EMRP JRP NEW04 from 2012-2015.
She is mainly involved in statistical modelling and analysis regarding uncertainty quantification, with research interest in metamodeling of complex systems and computing probabilities of failure within a Bayesian framework.
Since 2015, she has been supervising PhD students in collaboration with CentraleSupélec on conformity assessment based on computationally expensive systems applied to Fire Safety Engineering.
She also works as a trainer on the GUM methodology at LNE.
She is a member of the French Statistical Society.

Contact directly: EmailSeverine
 

Key publications

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