Scientific Publications

Journals Conferences Preprints Software Talks

Full Bibliography (PDF)

Research Impact

500+

Citations (approx.)

Google Scholar

8+

Q1 Journal Papers

HAL Profile

37+

Co-authors Network

DBLP Graph

Journal 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 ArXiv

[J2] 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

[J3] 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

[J4] 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

[J5] 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

[J6] 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

[J7] 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

[J8] P. Saves, Y. Diouane, N. Bartoli, T. Lefebvre, and J. Morlier, "A mixed-categorical correlation kernel for Gaussian process," Neurocomputing, vol. 558, 2023. DOI

Conference Proceedings

[C1] 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. ArXiv

[C2] 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

[C3] 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 Proc. IDA 2026, Leiden, Netherlands, 2026. ArXiv

[C4] 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

[C5] 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

[C6] N. Gonel, P. Saves, and J. Morlier, "Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting," in Proc. AeroBest 2025, Lisboa, Portugal, 2025. HAL

[C7] E. Hallé-Hannan, P. Saves, C. Audet, E. Nguyen Van, and J. Bussemaker, "A graph-structured distance for heterogeneous datasets with meta variables," in Proc. AISSAI Heterogeneous Data 2024, Toulouse, France, 2024. Link

[C8] 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

[C9] 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

[C10] 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

[C11] 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

[C12] N. Bartoli, T. Lefebvre, R. Lafage, P. Saves, and Y. Diouane, "Multi-objective Bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications," in Proc. AEROBEST 2023, Lisboa, Portugal, 2023. HAL

[C13] 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. (World Best Paper Award) DOI

[C14] 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

[C15] R. Grapin, Y. Diouane, J. Morlier, N. Bartoli, and T. Lefebvre, "Regularized Infill Criteria for Multi-Objective Bayesian Optimization with Application to Aircraft Design," in Proc. AIAA AVIATION 2022, Chicago, USA, 2022. DOI

[C16] 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. AeroBest 2021, Lisboa, Portugal, 2021. HAL

[C17] P. Saves, N. Bartoli, Y. Diouane, J. Morlier, and T. Lefebvre, "Enhanced Kriging Models Within a Bayesian Optimization Framework to Handle Both Continuous and Categorical Inputs," in Proc. SIAM CSE21, Fort Worth, USA, 2021. HAL

Preprints & Working Papers

[P1] P. Saves, P. S. Palar, M. D. Robani, M. Garouani, N. Verstaevel, et al., "Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration," arXiv:2510.16742, 2025. ArXiv

[P2] P. S. Palar, P. Saves, M. D. Robani, N. Verstaevel, M. Garouani, et al., "Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making," Working Paper, 2025. HAL

[P3] J. Shihua, P. Saves, R. Liem, and J. Morlier, "Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction," 2026. ArXiv

Theses

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

Scientific Software

SMT 2.0: Surrogate Modeling Toolbox (BSD-3 License)

Open Source

Lead Developer & Maintainer

A Python toolbox designed for researchers and engineers. SMT has been applied to diverse high-stakes engineering problems: coaxial rocket engine injectors, aircraft fuel consumption modeling, high-order finite element methods, solar energy planning, and wind turbine design.

Main Core Design-space-ext Explainability

The design-space-ext handles mixed-discrete variables and complex architectures, while explainability automates XAI metrics and visualization.

SEGOMOE: Mixture of Experts Optimizer

Proprietary

Lead Developer & Maintainer. Recognized Inventor/Author for the deposit 2948, République Française.

High-performance constrained Bayesian optimizer co-owned by ISAE-SUPAERO & ONERA (50/50). I restructured the core codebase and integrated advanced features including multi-fidelity, multi-objective optimization, and heterogeneous data handling.

Technical Reference

All research algorithms are implemented across these frameworks. While datasets are not public by default, they are available upon request, and most numerical experiments can be reproduced for validation.

Oral Communications & Selected Talks

2025: Assises nationales des données 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.