selected publications

• academic article

  • High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft.  Structural and Multidisciplinary Optimization.  67. 2024
  • Constrained efficient global multidisciplinary design optimization using adaptive disciplinary surrogate enrichment.  Structural and Multidisciplinary Optimization.  67. 2024
  • SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes.  Advances in Engineering Software.  188:103571-103571. 2023
  • Towards a multi-fidelity & multi-objective Bayesian optimization efficient algorithm.  Aerospace Science and Technology.  142:108673-108673. 2023
  • Disciplinary proper orthogonal decomposition and interpolation for the resolution of parameterized multidisciplinary analysis.  International Journal for Numerical Methods in Engineering.  123:3594-3626. 2022
  • Disciplinary Proper Orthogonal Decomposition and Interpolation for the resolution of parametrized Multidisciplinary Analysis.  HAL (Le Centre pour la Communication Scientifique Directe).  2022
  • Aeroelastic scaling of flying demonstrators: mode tracking technique.  Mechanics & Industry.  23:2-2. 2022
  • Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes.  Structural Safety.  93:102116-102116. 2021
  • An MDO-based methodology for static aeroelastic scaling of wings under non-similar flow.  Structural and Multidisciplinary Optimization.  63:1045-1061. 2021
  • Aeroelastic scaling of flying demonstrator: flutter matching.  Mechanics & Industry.  22:42-42. 2021
  • Towards an efficient global multidisciplinary design optimization algorithm.  Structural and Multidisciplinary Optimization.  62:1739-1765. 2020
  • Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses.  Reliability Engineering & System Safety.  196:106771-106771. 2019
  • Linear regression-based multifidelity surrogate for disturbance amplification in multiphase explosion.  Structural and Multidisciplinary Optimization.  60:2205-2220. 2019
  • A Python surrogate modeling framework with derivatives.  Advances in Engineering Software.  135:102662-102662. 2019
  • Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design.  Aerospace Science and Technology.  90:85-102. 2019
  • Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method.  Engineering Optimization.  50:2038-2053. 2018
  • Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion — Kriging approach.  Computer Methods in Applied Mechanics and Engineering.  332:540-571. 2018
  • Évaluation de l’incertitude associée à l’interpolation de maillage dans un calcul couplé partitionné 2017
  • Propagation of Modeling Uncertainty by Polynomial Chaos Expansion in Multidisciplinary Analysis.  Journal of Mechanical Design.  138. 2016
  • Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction.  Structural and Multidisciplinary Optimization.  53:935-952. 2016
  • An Improved Approach for Estimating the Hyperparameters of the Kriging Model for High-Dimensional Problems through the Partial Least Squares Method.  Mathematical Problems in Engineering.  2016:1-11. 2016
  • An improved approach to estimate the hyper-parameters of the kriging model for high-dimensional problems through the Partial Least Squares method.  HAL (Le Centre pour la Communication Scientifique Directe).  2016

• blog posting

  • Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes.  arXiv (Cornell University). 2020

• conference paper

  • Gaussian process for Bayesian optimization with mixed hierarchical variables: Application to electric-hybrid aircraft eco-design.  . 2024
  • System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility.  . 2024
  • Disciplinary surrogates for gradient-based optimization of multidisciplinary systems.  . 2023
  • Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications.  . 2023
  • Pareto optimal fidelity level selection for multi-fidelity Bayesian optimization applied to drone design.  HAL (Le Centre pour la Communication Scientifique Directe). 2022
  • Model Order Reduction and Bayesian Optimization for MDO problems.  . 2022
  • Multi-fidelity constrained Bayesian optimization, application to drone design.  HAL (Le Centre pour la Communication Scientifique Directe). 2021
  • CONSTRAINED BAYESIAN OPTIMIZATION OVER MIXED CATEGORICAL VARIABLES, WITH APPLICATION TO AIRCRAFT DESIGN.  HAL (Le Centre pour la Communication Scientifique Directe). 2021
  • Enhanced Kriging models within a Bayesian optimization framework to handle both continuous and categorical inputs.  HAL (Le Centre pour la Communication Scientifique Directe). 2021
  • Variance Analysis of AK-MCS Failure Probability Estimator and Algorithmic Application.  Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 4929-4929. 2020
  • Couplage adaptatif des méthodes d'analyses de fiabilité par apprentissage actif basées sur les métamodèles de Krigeage et de la modélisation en base réduite.  HAL (Le Centre pour la Communication Scientifique Directe). 2019
  • Towards reliability analysis by adaptive sampling with multiple fidelity levels by the use of reduced basis methods.  HAL (Le Centre pour la Communication Scientifique Directe). 2019
  • Multi-fidelity efficient global optimization: Methodology and application to airfoil shape design.  AIAA Aviation 2019 Forum. 2019
  • Couplage Optimisation et Réduction de Modèles par Projection Application à la conception avion avant-projet.  HAL (Le Centre pour la Communication Scientifique Directe). 2019
  • Propagation d’incertitude de modèle pour l’optimisation multidisciplinaire.  HAL (Le Centre pour la Communication Scientifique Directe). 2018
  • Vers des analyses de fiabilité à fidélité adaptative par l’utilisation de modèles en base réduite.  HAL (Le Centre pour la Communication Scientifique Directe). 2018
  • Multidisciplinary optimization based on Kriging surrogate models.  HAL (Le Centre pour la Communication Scientifique Directe). 2018
  • Exploration and Sizing of a Large Passenger Aircraft with Distributed Ducted Electric Fans.  2018 AIAA Aerospace Sciences Meeting. 2018
  • An adaptive kriging based approach to robust optimization.  HAL (Le Centre pour la Communication Scientifique Directe). 2017
  • An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization.  12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 2017
  • Évaluation de l'incertitude associée à l'interpolation de maillage dans un calcul couplé partitionné.  HAL (Le Centre pour la Communication Scientifique Directe). 2017
  • Adaptive random field discretization for optimization under uncertainties.  HAL (Le Centre pour la Communication Scientifique Directe). 2017
  • Static and Dynamic Aeroelastic Scaling of the CRM Wing via Multidisciplinary Optimization.  HAL (Le Centre pour la Communication Scientifique Directe). 2017
  • Multidisciplinary optimization by surrogate models: handling epistemic uncertainties by polynomial chaos expansion.  HAL (Le Centre pour la Communication Scientifique Directe). 2016
  • Development of a certification module tailored to Aircraft Multi Disciplinary Optimization.  HAL (Le Centre pour la Communication Scientifique Directe). 2015
  • Impact of Certification Constraints in a Multi-disciplinary Design Process.  HAL (Le Centre pour la Communication Scientifique Directe). 2014
  • Kriging Combining Partial Least Squares for Optimization in High Dimension.  HAL (Le Centre pour la Communication Scientifique Directe). 2014
  • SURROGATE MODELS FOR OPTIMIZATION IN HIGH DIMENSION USING A MIXED PLS/KRIGING METHOD.  HAL (Le Centre pour la Communication Scientifique Directe). 2014

• document

  • Actes de la conférence CAID 2021 (Conference on Artificial Intelligence for Defense).  HAL (Le Centre pour la Communication Scientifique Directe). 2021
  • Reduction of Uncertainties in Multidisciplinary Analysis Based on a Polynomial Chaos Sensitivity Study.  . 113-142. 2021