Bénédicte Puig

Responsabilités

Responsabilités actuelles :

Mandats locaux

2016-...

           Membre (élue) de la Commission Recherche de l'Université de Pau et des Pays de l'Adour
           Membre du Conseil Académique de l'UPPA

           Membre du Conseil de la Recherche Sciences et Techniques de l'UPPA 

Mandat national

2015-2018 Membre (élue) du CNU 26

2019-2023 Membre du bureau du CNU26 (et donc membre de la CP-CNU)

Responsabilité pédagogique

2014-2020 Responsable de l'année de Licence 3 MIASHS

Publications

Articles dans des revues internationales à comité de lecture :

     [17] M. Dambrine, B. Puig, et G. Vallet.
A mathematical model for marine dinoflagellates blooms. à paraître dans DCDS-S.

      [16] M. Dambrine and B. Puig.
Oriented distance point of view on random sets with application to shape optimization.
ESAIM Control Optim. Calc. Var., accepte.

      [15] M. Dambrine, H. Harbrecht, and B. Puig.
Incorporating knowledge on the measurement noise in electrical impedance tomography.
ESAIM Control Optim. Calc. Var. , 25 :84, 2019.   

      [14] M.Dambrine, H. Harbrecht, M. Peters and B. Puig. On Bernoulli’s free boundary problem with a random boundary.
International Journal for Uncertainty Quantification, 7(4): 335–353 (2017).

      [13]  M. Dambrine,  I. Greff, H.Harbrecht and B. Puig. Numerical solution of the homogeneous Neumann boundary value problem on domains with a thin layer of random thickness. J. Comput. Phys., 330:943-959, 2017.

      [12]   B. Faverjon, B. Puig and T.N. Baranger. Identification of boundary conditions by solving Cauchy problem in linear elasticity with material uncertainties. Computers  Mathematics with Applications, Volume 73, Issue 3, 1 February 2017, Pages 494-504

       [11]  M. Dambrine, I. Greff, H. Harbrecht, and B. Puig. Numerical solution of the Poisson equation with a thin layer of random thickness. SIAM J. Numer. Anal., 54(2):921-941, 2016.   

       [10]    J. Cresson, B. Puig, S. Sonner. Stochastic models in biology and the invariance problem. Discrete Contin. Dyn. Syst. Ser. B,2145 - 2168, Volume 21, Issue 7, September 2016.

       [9]    M. Dambrine, H. Harbrecht, and B. Puig. Computing quantities of interest for random domains with second order shape sensitivity analysis. ESAIM: Mathematical Modelling and Numerical Analysis.} (2015) 49-5, pp. 1285-1302.

       [8]    J. Cresson, F. Pierret, B. Puig. The Sharma-Parthasarathy stochastic two-body problem, Journal of Mathematical Physics, 56, 032701 (2015).

       [7]    J. Cresson, B. Puig, S. Sonner. Validating Stochastic Models : Invariance Criteria for Systems of Stochastic Differential Equations and the Selection of a Stochastic Hodgkin- Huxley Type Model. Internat. J. Biomath. Biostat Vol. 2, No. 1, January-June 2013, pp. 111-122.

       [6]    F. Poirion et B. Puig. Simulation of non-Gaussian multivariate stationary processes. International Journal of Non-Linear Mechanics. 45 (2010) 587–597.

       [5]    P. Bernardoff, C.C. Kokonendji, B. Puig. Generalized variance estimators in the multivariate gamma models. Math. Meth. Statist. 17 (2008), pp. 66–73.

       [4]   J-L. Akian et B. Puig. Some results of error evaluation for a non-Gaussian simulation method.  Monte Carlo Methods and Applications, Volume 10, n°1, pp.51-68 (2004).

      [3]    B .Puig et J-L. Akian. Non-Gaussian simulation using Hermite polynomial expansion and maximum entropy principle.  Probabilistic Engineering Mechanics, Volume 19, Iss. 4, pp. 293-305 (2004)

      [2]    B. Puig et F. Poirion. White Noise and simulation of ordinary Gaussian process.  Monte Carlo Methods and Applications, Volume 10, n°1, pp.69-90 (2004).

     [1]    B. Puig, F. Poirion et C. Soize. Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms.  Probabilistic Engineering Mechanics, 17, pp253-264 (2002).