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

CURRENT COLLABORATIVE PROJECT

  • 2021 - 2024: Partner in the consortium CIROQUO
    Members: EMSE, Central Lyon, IFPEN.
    Consortium Industriel de Recherche en Optimisation et QUantification d'incertitudes pour les données Onéreuses.
  • 2021-2024: Partner in the ANR project SAMOURAI
    Members: CEA, CentraleSupelec, EDF, EMSE, IFPEN, Polytechnique Montréal, Safran.
    Simulation Analytics and Meta-model-based solutions for Optimization, Uncertainty and Reliability AnalysIs. 
  • 2021-2024: Partner in the H2020 European project HIPERWIND
    Members: DTU, EDF, IFPEN, EPRI, DNV, University of Bergen, ETH Zurich.
    Highly advanced Probwabilistic design and Enhanced Reliability methods for high-​value, cost-​efficient offshore WIND.
  • 2020 - 2022: Construction and partnership in a programme Samuel de Champlain project 
    Members: GERAD - Ecole Polytechnique de Montréal (S. Le DigabelC. Audet), IFPEN
    Variables de catégorie en optimisation de modèles boîtes noires 
  • 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/.

PAST COLLABORATIVE PROJECT​​​​​​

  • 2016 - 2019: Partner in the applied mathematics Chaire OQUAIDO  
    Members: EC Lyon, UPS, EMSE, CNRS/UNICE, CEA, SAFRAN, ISFA, BRGM, IRSN, UGA, Storengy.
    Optimisation et QUAntification d'Incertitude pour les Données Onéreuses http://chaire-mathematiques-appliquees.emse.fr/.
  • 2015-2017: Joint Industrial Projects ERMES in reservoir engineering
    Members: Petrobras, ENGIE, IFPEN
    Enhanced unceRtainty and optiMization mEthodologieS: surrogate modelling, sensitivity analysis and optimization.
  • 2015 - 2016: Construction and co-leader of PGMO projects  
    Members: EDF, UniversitätDuisburh-Essen, Paris 7 University, IFPEN.
    Optimization under probabilistic constraints of complex systems – Application to the anchoring of offshore wind-turbines 
  • 2016: Partner in Joint Industrial Projects STARWACS 
    sponsored by Alyeska Pipeline and Total. Developments in sensitivity analysis.
  • 2014 - 2015: Partner in the ANR MODNAT 
    Probabilistic reliability in high dimension.
  • 2013 - 2015: Partner in the consortium ReDICE 
    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 29 Janvier 2021 - 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

  • Clément Duhamel : oct 2020 - oct 2023 
    Inversion robuste avec données d'entrée fonctionnelles. Application à la conception d'éolienne,
    Directors: C. Prieur (LJK, Université Grenoble Alpes) and C. Helbert (Centrale Lyon)
    Co-promotor: D. Sinoquet (IFPEN).
  • 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.
    Directors: C. Prieur (Univ. Grenoble Alpes) and 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.
    Directors: C. Prieur (Univ. Grenoble Alpes) and C. Helbert (Ecole centrale Lyon).
    Co-promotor: (D. Sinoquet).
  • Ivana Aleksovska : sept 2015 - Mars 2017
    Statistical reformulation of  the probabilities of damage and feasability constraints of an offshore wind turbine mooring line.
    Director: J. Garnier (Ecole Polytechnique).
    Co-promotor: M. Guiton (IFPEN).

Internship and training surpervision

2020

  • Clément Duhamel - Université Claude Bernard Lyon 1 
    Stochastic inversion.
    Co-supervision with C. Prieur (Université Grenoble Alpes), C. Helbert (Ecole Centrale Lyon) and D. Sinoquet (IFPEN).

2019

  • Mouhamed Ba - Alternance ISUP-Sorbonne Université (2019-2020) 
    Gaussian Process modelling and GP based mixed optimization.
  • Jingang Qu - Sorbonne Université  
    Study of the hidden constraints of a black-box simulator with machine learning.
    Co-supervision with Frederic Delbos (IFPEN)
  • Mouhamadou Sow - INSA Rouen  
    Non-stationnary Gaussian process modelling.
  • Erwan Rondeaux - INSA Rouen  
    Evaluation of the machine learning potential for CFD models predictions.
    Co-supervision with Adèle Poubeau (IFPEN)

2017

  • Adrien Hirvoas - Université Blaise Pascal
    Global sensitivity analysis of an offshore wind turbine.
    Co-supervision with Fabien Caleyron (IFPEN)
  • Konstantinos Varelas - Paris Saclay University
    Multi-objectives optimization with constraints.
    Co-supervision with Delphine Sinoquet (IFPEN)

2016

  • Giulia Cavenago - Politecnico Milano
    Surrogate models with mixed qualitative and quantitative variables: application in reservoir engineering.
    Co-supervision with Delphine Sinoquet (IFPEN)

2012

  • Gulnara Abdrakhmanova-Aitzhanova - Imperial College
    Sensitivity analysis.
  • Student - IFMA / école d'ingénieurs SIGMA Clermont
    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

2020

  • Arnaud, E., Caleyron, F., Hirvoas, A., Munoz Zuniga, M., and Prieur, C. Quantification and reduction of uncertainties in a wind turbine numerical model based on global sensitivity analysis and recursive Bayesian inference approach. International Journal for Numerical Methods in Engineering.
  • El Amri, M.R., Helbert, C., Munoz Zuniga, M., Prieur, C. and Sinoquet, D., Set inversion under functional uncertainties with joint meta-models, submitted to SIAM/SA Journal on Uncertainty Quantification.
  • Murangira, A., Munoz Zuniga, M., Perdrizet, T., Structural reliability assessment through metamodel based importance sampling with dimension reduction, Reliability Engineering & System Safety, 2020.

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, Information Systems and Operational Research, 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 irrégulièreIFPEN 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, Imperial College 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).