In a few words

2013-now : research engineer in applied mathematics department of IFPEN
main research topic : uncertainty quantification and numerical optimization

2012-2013 : Post-doctoral fellow at IRSN (Institut de Radioprotection et Sûreté Nucléaire).
main research topic : meta-modelling and optimization of models with functional inputs

2011-2012 : Post-doctoral fellow at Imperial College.
main research topic : sensitivity analysis and meta-modelling.

2010 - 2011 : A.T.E.R. University Paris Diderot – Paris VII.

PhD in applied mathematics (University Paris Diderot – Paris VII) : Stochastic methods for the controlled estimation of small probabilities on complex physical models. Application to the nuclear domain. Supervisor : Josselin Garnier. Industrial Partner : EDF R&D.

Master degree in applied mathematics (Paris Est university)

Research subjects
Stochastic algorithms
Sensitivity Analysis
Chance constraint optimization
Probability estimation
meta-modelling
Dimension reduction
Optimization / inversion under uncertainties
Mixed integer continuous optimization
Projects

Collaborative projects

  • 2019 - In progress: Participation to an OpenSource SAFRAN/IFPEN project
  • 2015 - In progress: Organizing member in the research group MASCOT NUM - http://www.gdrmascotnum.fr/.
  • 2016 - 2019: Participation in the Chaire OQUAIDO on optimization and uncertainty quantification for expensive data
    http://chaire-mathematiques-appliquees.emse.fr/.
  • 2015-2017: Joint Industrial Projects (JIP) in reservoir engineering  : partner of JIP "Enhanced unceRtainty and optiMization mEthodologieS" (ERMES), with Petrobras and ENGIE on surrogate modelling, sensitivity analysis and optimization
  • 2015 - 2016: Construction and co-leader of PGMO projects :  "Optimization under probabilistic constraints of complex systems – Application to the anchoring of offshore wind-turbines" with EDF, UniversitätDuisburh-Essen and Paris 7 University, 
  • 2016: Partner in JIP "STARWACS" sponsored by Alyeska Pipeline and Total. Developments in sensitivity analysis.
  • 2014 - 2015: Partner in the ANR MODNAT on probabilistic reliability in high dimension.
  • 2013 - 2015: Partner in the consortium ReDICE on novative mathematical methods for the design and analysis of computer experiments.

Project reviews & committees

  • 2019 - Expertise for the Autorité de Sécurité Nucléaire Défense (ASND) on design of experiments, sensitivity analysis and modelling.
  • 2018 - Member of the scientific committee for the conference DataSciEn'2018 - Learning from Scientific Data in Energy - www.ws-datascien2018.com.
  • 2018 - CITEPH project evaluation : Collaborative & Innovative Technology Program in Exploration and Production of Hydrocarbons.

Conference organization

  • 2019 - Journées GDR MascotNum 2019 at IFPEN (with Delphine Sinoquet).
  • 2016 - Organization at Institut Henri Poincaré of the workshop "Dealing with stochastics in optimization problems" with LPMA (university Diderot) and Centrale Supélec. 
    http://www.gdr-mascotnum.fr/mai16.html.

Conference Invitation

  • 2020 - Journée de la conception robuste et fiable - 7eme edition 27 mars 2020 - SIGMA Clermont-Ferrand
    Reliability based design optimization and uncertainty quantification for offshore wind turbines.
  • 2019 - Atelier de modélisation de l'Atmosphère (AMA) - 11 mars 2019- Météo-France, Toulouse.
    Optimization and Bayesian approaches for model calibration. Application to oil and gas field management.
  • 2017 - International workshop on nuclear data covariances - 02 october 2017 - CEA Cadarache and NEA, Aix en Provence.
    Optimization and Bayesian approaches for model calibration. Application to oil and gas field management.

post-doctoral collaboration

  • Achille Murangira (April 2014 - Oct 2015 )
    Extreme mechanical response prediction and failure probability estimation of a floating wind turbine submitted to wind time variant random processes.

PhD promotion

  • Erwan Rondeaux (sept 2019 - sept 2022)
    Calage bayesien et machine learning pour accelerer la calibration de modèles CFD.
    Director: C. Angelberger (IFPEN). Partner: R. Paoli (Univ. Illinois). Co-promotor: A. Poubeau (IFPEN)
  • Alexis Cousin (sept 2018 - sept 2021)
    Chance constraint optimization of a complex system. Application to the design of a floating offshore wind turbine.
    Director: J. Garnier (Ecole Polytechnique). Co-promotor: M. Guiton (IFPEN).
  • Adrien Hirvoas (Aout 2018 - Aout 2021)
    Assimilation de données de capteur d'eoliennes pour la mise à jour en continue de modèles fidèles.
    Co-director: C. Prieur (Univ. Grenoble Alpes). Co-director: E. Arnaud (Univ. Grenoble Alpes). Co-promotor: F. Caleyron (IFPEN)
  • Reda El Amri (Aout 2016 - Aout 2019) 
    Robust inversion of models with functional inputs. Application to a car pollution control system.
    Co-director: C. Prieur (Univ. Grenoble Alpes). Co-director: C. Helbert (Ecole centrale Lyon). Co-promotor (D. Sinoquet)
  • Ivana Aleksovska (sept 2015 - Mars 2017)
    Statistical reformulation of  the probabilities of damage and feasability of an offshore wind turbine mooring line.
    Director: J. Garnier (Ecole Polytechnique). Co-promotor: M. Guiton (IFPEN)

Internship and training surpervision

  • Clément Duhamel - Université Claude Bernard Lyon 1 (2020)
    Stochastic inversion.
    Co-supervision with C. Prieur (Université Grenoble Alpes), C. Helbert (Ecole Centrale Lyon) and D. Sinoquet (IFPEN). 
  • Mouhamed Ba - ISUP-Sorbonne Université (2019-2020) 
    Gaussian Process modelling and GP based mixed optimization.
  • Jingang Qu - Sorbonne Université (2019) 
    Study of the hidden constraints of a black-box simulator with machine learning.
    Co-supervision with Frederic Delbos (IFPEN)
  • Mouhamadou Sow - INSA Rouen (2019) 
    Non-stationnary Gaussian process modelling.
  • Erwan Rondeaux - INSA Rouen (2019) 
    Evaluation of the machine learning potential for CFD models predictions.
    Co-supervision with Adèle Poubeau (IFPEN)
  • Adrien Hirvoas - Université Blaise Pascal (2017)
    Global sensitivity analysis of an offshore wind turbine.
    Co-supervision with Fabien Caleyron (IFPEN)
  • Konstantinos Varelas - Paris Saclay University(2017) 
    Multi-objectives optimization with constraints.
    Co-supervision with Delphine Sinoquet (IFPEN)
  • Giulia Cavenago - Politecnico Milano (2016) 
    Surrogate models with mixed qualitative and quantitative variables: application in reservoir engineering.
    Co-supervision with Delphine Sinoquet (IFPEN)
  • Gulnara Abdrakhmanova-Aitzhanova - Imperial College (2012) 
    Sensitivity analysis.
  • Student - IFMA / école d'ingénieurs SIGMA Clermont (2012)
    Generalized Polynomial Chaos modelling.

Courses

  • 2016 - 2018 Lecture on statistics, uncertainty treatment and optimization, IFPEN, 35h.
  • 2014 - Supervision of 6 master interships, 5 PhD students and 1 post-doctoral
    fellow, IFPEN.
  • 2013 - 2014 Teaching assistant of numerical analysis at EPF Sceaux, 120h.
  • 2011 - 2012 Supervision of 2 MS student, Imperial College London.
  • 2010 - 2011 Teaching assistant of mathematics at the University of Paris 7, 80h .
  • 2008 - 2010 Lecture of numerical statistics and data analysis, Ecole Nationale des Ponts
    et Chaussées, 40h.
  • 2008 - 2010 Teaching assistant of mathematics at the University of Paris 6, the UPEMLV
    and the Ecole Supérieure d’Ingénieurs en Electrotechnique et Electronique
    (engineering), 140h.
  • 2003 - 2007 Undergraduate teaching assistant of mathematics at the UPEMLV, 100h.
Publications

2019

  • Munoz Zuniga, M., and Sinoquet, D., Global Optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step, to appear in INFOR, Information Systems and Operational Research, 2019.
  • Murangira, A., Munoz Zuniga, M., Perdrizet, T., Structural reliability assessment through metamodel based importance sampling with dimension reduction, under revision by Reliability Engineering & System Safety, 2019.
  • El Amri, M.R., Helbert, C., Lepreux, O., Munoz Zuniga, M., Prieur, C. and Sinoquet, D., Datadriven stochastic inversion under functional uncertainties, Statistics and Computing, 2019.

2018

  • van Ackooij, W., Aleksovska, I., Munoz Zuniga, M., (Sub-)Differentiability of Probability Functions with Elliptical Distributions, Set-Valued and Variational Analysis Volume 26, Issue 4, pp 887-910, 2018.
  • Munoz Zuniga, M., Guiton, M., Wahl, F., Surface de réponse pour Deeplines en houle irrégulière, IFPEN internal report.

2017

  • Munoz Zuniga, M., Generation of a space-filling design of experiments in a constrained and disconnected Euclidean space, IFPEN internal report.
  • Munoz Zuniga, M., Guiton, M., Résultats préliminaires pour la surface de réponse de Deeplines en houle irrégulière, IFPEN internal report.

2016

  • Munoz Zuniga, M. and Benali, A., Functional principal component analysis for the Bayesian calibration of a numerical simulator with functional output, IFPEN internal report.
  • Lameiras Franco Da Costa V., Lameiras Franco Da Costa V.R., Munoz Zuniga M., Dallerit V., Etude de l'incertitude en modèle linéaire et Krigeage, IFPEN internal report.

2015

  • Munoz Zuniga, M. and Ben Gharbia, I., A numerical comparison of an adaptive Generalized Polynomial Chaos method and an adaptive Gaussian Process metamodel. Proposition of an improved adaptive Gaussian Process approach, IFPEN internal report.
  • Munoz Zuniga, M., Partie 1 : Analyse de sensibilité d’un modèle à entrées dépendantes et plan d’expérience optimal construit à partir de mesures de dépendances, IFPEN internal report.

2014

  • Caron, V., Guyader, A. Munoz Zuniga, M., Tuffin, B., Some recent results in rare event estimation, ESAIM: Proceedings 44, 239-259, 2014.
  • M. Munoz Zuniga and Y. Richet, Global optimization of a computer based model with functional data inputs, IRSN internal report.

2013

  • M. Munoz Zuniga and S. Kucherenko, Low cost estimates of total sensitivity indices based on metamodels, internal report.
  • M. Munoz Zuniga and S. Kucherenko, N. Shah, Metamodelling with independent and dependent inputs, Computer Physics Communications, 2013.

2011

  • M. Munoz Zuniga, J. Garnier, E. Remy and E. de Rocquigny, Analysis of adaptive directional stratification for the controlled estimation of rare event probabilities, Statistics and Computing, 2011.
  • M. Munoz Zuniga, J. Garnier, E. Remy and E. de Rocquigny, Adaptative Directional Stratification for controlled estimation of the probability of a rare event, Reliability Engineering & System Safety, 2011.

2010

  • M. Munoz Zuniga, J. Garnier, E. Remy and E. de Rocquigny, Adaptative Directional Stratification: an adaptive directional simulation method in a stratified space, Safety, Reliability and Risk of Structures, Infrastrutures and Engineering Systems, Taylor & Francis Group, London, 2010.

2008

  • M. Munoz Zuniga, J. Garnier, Y. Lefebvre, Controlled estimation of the probability of rare event for a complex physical model - examination of monotoneous variation models, Congrès Lambda-Mu 16, Avignon, 2008.

Computational developments:

  • Development of algorithms in IFPEN uncertainty treatment and optimization softwares : COUGAR, ATOUT, HubStat.
  • Package Generalized Polynomial Chaos (GPC) published on the Comprehensive R Archive Network (CRAN),
  • Implementation of the Brent algorithm in the IRSN platform Prométhée.
  • Implementation of a Quasi Random Sampling-High dimensional model representation in an Imperial College plateform,
  • Development of the prototype of the Adaptive Directional Sampling Monte Carlo technique implemented in OpenTurns (an Open source initiative for the Treatment of Uncertainties Risks’N Statistics).