Scientific Publications

Journals Conferences Preprints Talks
Full Bibliography (PDF)

Research Impact

600+

Citations (approx.)

Google Scholar

9+

Q1 Journal Papers

HAL Profile

54+

Co-authors Network

DBLP Graph

Journal Articles

First-author articles

[J1] P. Saves, E. Hallé-Hannan, J. Bussemaker, Y. Diouane, and N. Bartoli, "Hierarchical Modeling and Architecture Optimization: Review and Unified Framework," Structural and Multidisciplinary Optimization, vol. 69, no. 3, 2026. DOI CS Q1
[J2] P. Saves, R. Lafage, N. Bartoli, Y. Diouane, J. Bussemaker, et al., "SMT 2.0: A Surrogate Modeling Toolbox with Hierarchical and Mixed Variables Gaussian Processes," Advances in Engineering Software, vol. 188, 2024. DOI CS Q1
[J3] P. Saves, Y. Diouane, N. Bartoli, T. Lefebvre, and J. Morlier, "High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft," Structural and Multidisciplinary Optimization, 2024. DOI CS Q1
[J4] P. Saves, Y. Diouane, N. Bartoli, T. Lefebvre, and J. Morlier, "A mixed-categorical correlation kernel for Gaussian process," Neurocomputing, vol. 558, 2023. DOI CS Q1

Second-author articles

[J5] P. S. Palar, P. Saves, M. D. Robani, N. Verstaevel, M. Garouani, J. Aligon, K. Shimoyama, J. Morlier, B. Gaudou, "Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making," Archives of Computational Methods in Engineering, 2026. DOI CS Q1 and Maths Q1
[J6] P. Palar, P. Saves, R. G. Regis, K. Shimoyama, S. Obayashi, et al., "Global Sensitivity Analysis For Engineering Design Based on Individual Conditional Expectations," Aerospace Science and Technology, 2026. DOI Engineering Q1
[J7] J. H. Bussemaker, P. Saves, N. Bartoli, T. Lefebvre, and R. Lafage, "System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems," Journal of Global Optimization, 2024. DOI Maths Q1

Last-author articles

[J8] E. Hallé-Hannan, C. Audet, Y. Diouane, S. Le Digabel, and P. Saves, "A distance for mixed-variable and hierarchical domains with meta variables," Neurocomputing, 2025. DOI CS Q1
[J9] R. Priem, Y. Diouane, N. Bartoli, S. Dubreuil, and P. Saves, "High-dimensional Bayesian optimization using both random and supervised embeddings," AIAA Journal, 2024. DOI Engineering Q1

Conference Proceedings

First-author articles

[C1] P. Saves, M. Mastio, N. Verstaevel, and B. Gaudou, "From Model-Based Screening to Data-Driven Surrogates: A Multi-Stage Workflow for Exploring Stochastic Agent-Based Models," in MABS 2026 - The 27th International Workshop on Multi-Agent-Based Simulation, Springer, 2026. HAL CORE C
[C2] P. Saves, N. Verstaevel, and B. Gaudou, "Modèles de substitution pour les modèles basés agents : enjeux, méthodes et applications," in Proc. JFSMA 2025, Dijon, France, 2025. HAL CORE National
[C3] P. Saves, J. Bussemaker, R. Lafage, T. Lefebvre, and N. Bartoli, "System-of-systems modeling and optimization: an integrated framework for intermodal mobility," in Proc. ODAS 2024 (24th ONERA-DLR Symposium), Braunschweig, Germany, 2024. HAL
[C4] P. Saves, N. Bartoli, Y. Diouane, T. Lefèbvre, and J. Morlier, "Multidisciplinary Design Optimization with Mixed Categorical Variables for Aircraft Design," in Proc. AIAA SciTech 2023 Forum, National Harbor, USA, 2023. DOI
[C5] P. Saves, E. Nguyen Van, N. Bartoli, T. Lefebvre, and C. David, "Bayesian Optimization for Mixed Variables Using an Adaptive Dimension Reduction Process: Applications to Aircraft Design," in Proc. AIAA SciTech 2022 Forum, San Diego, USA, 2022. - AIAA Best Paper Award (all conferences) - DOI
[C6] P. Saves, Y. Diouane, N. Bartoli, T. Lefebvre, and J. Morlier, "A General Square Exponential Kernel to Handle Mixed-Categorical Variables for Gaussian Process," in Proc. AIAA AVIATION 2022 Forum, Chicago, USA, 2022. DOI
[C7] P. Saves, N. Bartoli, Y. Diouane, T. Lefebvre, and J. Morlier, "Constrained Bayesian optimization over mixed categorical variables, with application to aircraft design," in Proc. ECCOMAS AeroBest 2021, Lisboa, Portugal, 2021. HAL

Second-author articles

[C8] M. Mastio, P. Saves, B. Gaudou, and N. Verstaevel, "Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis," in Proc. AAMAS 2026, Paphos, Cyprus, 2026. DOI CORE A*
[C9] M. Mastio, P. Saves, B. Gaudou, and N. Verstaevel, "Agents adaptatifs dans des marchés spatialisés à double enchère pour la modélisation de l'émergence de symbioses industrielles," in Proc. JFSMA 2026, Arras, France, 2026. - Best Paper Award - HAL CORE National
[C10] J. Levy, P. Saves, M. Garouani, N. Verstaevel, and B. Gaudou, "Caractérisation de la complémentarité des détecteurs d'anomalies par l'analyse des contributions SHAP", in Proc. CNIA & Proc. RJCIA 2026, Arras, France, 2026. HAL CORE National
[C11] J. Levy, P. Saves, M. Garouani, N. Verstaevel, and B. Gaudou, "Analyzing Shapley additive explanations to understand anomaly detection algorithm behaviors and their complementarity," in Advances in Intelligent Data Analysis XXIV, Leiden, Netherlands, Springer, 2026 - Springer IDA Frontier Prize - DOI CORE B
[C12] M. D. Robani, P. Saves, L. R. Zuhal, P. S. Palar, and J. Morlier, "SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration," in Proc. AIAA SciTech 2025 Forum, Orlando, USA, 2025. DOI
[C13] N. Gonel, P. Saves, and J. Morlier, "Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting," in Proc. ECCOMAS AeroBest 2025, Lisboa, Portugal, 2025. HAL
[C14] J. H. Bussemaker, P. Saves, N. Bartoli, T. Lefebvre, and B. Nagel, "Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints," in Proc. AIAA Aviation 2024 Forum, Las Vegas, USA, 2024. - Best Student Paper Award - DOI

Last-author articles

[C15] R. Priem, N. Bartoli, Y. Diouane, S. Dubreuil, and P. Saves, "High-Dimensional Efficient Global Optimization Using Both Random and Supervised Embeddings," in Proc. AIAA AVIATION 2023 Forum, San Diego, USA, 2023. DOI
[C16] F. Poupinot, A. Sauer-Avargues, M. Sibilla, L. El Khouri, A. Cambon-Thomsen, N. Coley, V. Gay, E. Lerigoleur, M. Mambrini, C. Pagetti, P. Saves, "Synthèse de la table ronde sur l’évolution des pratiques disciplinaires autour du partage et de l'ouverture des publications, des données et des codes de la recherche," in Ouvrez-la ! Données et publications ouvertes : pour une science partagée, Toulouse, France, 2026. HAL

Other co-authored articles

[C17] N. Bartoli, T. Lefebvre, R. Lafage, P. Saves, Y. Diouane, J. Morlier, “Efficient multidisciplinary design via Bayesian optimization” in Proc. CSMA 2026, Hyères, France, 2025. HAL
[C18] N. Bartoli, T. Lefebvre, R. Lafage, P. Saves, Y. Diouane, J. Morlier, L. Pretsch, "Multi-objective Bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications," in Proc. MOPTA 2025, Ponta Delgada, Portugal, 2025. HAL CORE National
[C19] N. Bartoli, T. Lefebvre, R. Lafage, P. Saves, Y. Diouane, J. Morlier, J. Bussemaker, G. Donelli, J. M. Gomes de Mello, M. Mandorino, P. Della Vechia, "Multi-objective Bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications," in Proc. ECCOMAS AeroBest 2023, Lisboa, Portugal, 2023. HAL
[C20] R. Grapin, Y. Diouane, J. Morlier, N. Bartoli, and T. Lefebvre, P. Saves, J. H. Bussemaker, "Regularized Infill Criteria for Multi-Objective Bayesian Optimization with Application to Aircraft Design," in Proc. AIAA AVIATION 2022, Chicago, USA, 2022. DOI

Preprints & Working Papers

[P1] P. Saves, P. S. Palar, M. D. Robani, N. Verstaevel, M. Garouani, J. Aligon, K. Shimoyama, J. Morlier, B. Gaudou, "Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration," arXiv:2510.16742, 2025. ArXiv
[P2] J. Shihua, P. Saves, R. Liem, and J. Morlier, "Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction," 2026. ArXiv
[P3] P. Saves, T. Lefebvre, N. Bartoli, J. Bussemaker, N. Kalliantakis, N. Naeem, P. Prakasha, "Hierarchical Bayesian optimization of an aircraft-based multi-agent system-of-systems," 2026. DOI

Theses

[T1] P. Saves, "High-dimensional multidisciplinary design optimization for aircraft eco-design," Ph.D. dissertation, ISAE-SUPAERO / ONERA, 2024. HAL (Thesis)

Oral Communications & Selected Talks

  • 2025: Assises nationales des donnĂ©es de la recherche (ANDOR 2025), Saclay ENS, France. (Remise de prix Science Ouverte de la thèse).
  • 2025: Towards Sustainable Aviation Summit, Toulouse, France. "Sustainable Eco-design of Hybrid-electric Aircraft."
  • 2025: Docteur, raconte-moi ta thèse en 3 minutes !, Toulouse, France. (Prix de thèse de la Fondation ISAE-SUPAERO).
  • 2025: ANR MIMICO 1st Workshop, Toulouse, France. "Explainability with mixed variables applied to MAS."
  • 2024: Workshop on Bayesian optimization & related topics, Paris, France.
  • 2021: Surrogate Day, Organizer & Speaker, ISAE-SUPAERO.
  • 2021: Enhanced kriging models within a Bayesian optimization framework, to handle both continuous and categorical inputs, Forth Worth, USA, SIAM Conference on Computational Science and Engineering.
  • 2024: A graph-structured distance for heterogeneous datasets with meta variables , Toulouse, France, AISSAI (AI for Science).