Research

My research aims at developing a unified framework for the analysis and decision-oriented exploration of complex simulation models using Frugal and Explainable AI. I combine surrogate modeling, active learning, and interpretable machine learning to transform computationally expensive black-box simulations into transparent tools for decision-making under uncertainty.

This work follows an iterative co-design paradigm, where modeling and interpretation are developed jointly with domain experts to enable actionable insights. I apply this framework to two main classes of systems: multidisciplinary engineering design (with an emphasis on sustainable aeronautics) and agent-based simulations for environmental and climate risk assessment.

Selected Research Projects

British Council - Springboard Grant (Springboard2025-2175)

PI / Lead Investigator

International Collaboration with University of Exeter, UK

Leading an international research collective focusing on Frugal AI and Climate Change impact quantification. This grant facilitates high-level scientific exchange and joint development of statistical emulators for climate risk assessment between IRIT (France) and Exeter (UK).

French Embassy - Science & Impact Grant 2026 (FRINDO-CLIMAI)

PI / Lead Investigator

Franco-Indonesian Cooperation with Institut Teknologi Bandung (ITB), Indonesia

Leading an international mobility project focusing on Uncertainty-Aware AI for Climate Modelling. This grant launches a joint framework using active learning and kernel-based Bayesian calibration to improve regional climate projections, facilitating methodological co-development between IRIT (France) and ITB (Indonesia).

ANR MIMICO (2025 - Present). Grant Number ANR-24-CE23-0380

Hybrid Modeling for Agent-Based Systems. Combining ABM with simplified surrogate representations to evaluate urban mobility policies and dense crowd dynamics.

Aeronautical Decarbonation. EU Comission, Horizon 2020 COLOSSUS and AGILE 4.0 projects. Grant Numbers 815122 and 101097120

Applying Bayesian optimization to eco-designed aircraft architectures. These works were recognized by two AIAA Best Paper awards for contributions to "green aviation."

Grants & Funding

Personal Research Funding

  • Post-doctoral Grant: ANR MIMICO (ANR-24-CE23-0380).
  • Post-doctoral Grant: EC COLOSSUS (ID 101097120).
  • PhD Thesis Grant: ENAC/ISAE/ONERA Federation & ONERA.
  • Master’s Thesis Grant: EC AGILE 4.0 (ID 815122).
  • Mobility Grant: ISAE-SUPAERO & ONERA (4 months at GERAD Montréal).
  • Mobility Grant: CIMI & BQR (1 month at Univ. of Montréal).
  • British Council Springboard: PI (Co-PI with Hossein Mohammadi, Univ. of Exeter).
  • Mobility grant: French Embassy in Indonesia. (1 month at the ITB Univ., Bandung)

Grants for Recruitment

  • PhD Grant: Frugal AI for HPC climate impact (ENAC/ISAE/ONERA & ONERA).
  • PhD Grant: Statistics for climate change impact (British Council).
  • Intern Grant: Eco-material discovery for batteries (PEPR DIADEM, France 2030).
  • Intern Grant: Multi-objective Bayesian optimization (ISAE-SUPAERO).
  • Intern Grant: Time-frequency kernel engineering (ONERA).

Academic Supervision

Formal Ph.D. Supervision

  • Gaston Plat (2025 - Present), Ph.D. in Applied Mathematics, ONERA / ISAE-SUPAERO, "Frugal AI for HPC climate impact". Official Supervisor.

Current Openings

Ph.D. in Statistics (British Council). "Uncertainty quantification and machine learning for agent-based systems for climate risk."

Ph.D. in Statistics (LPDP Ministry of Research, Indonesia). "Spatio-Temporal Agent-based Surrogates Simulation of Urban Resilience in Indonesia."

Scientific Mentoring & Collaboration with PhD Students

  • Edward Hallé-Hannan, Ph.D. in Applied Mathematics and AI, Polytechnique Montréal, Canada. Scientific collaboration including co-supervision and joint publications.
  • Jasper Bussemaker, Ph.D. in Aerospace Engineering, TU Delft, Netherlands. Support in mathematics, AI, and publication strategy.
  • James Mingzhi Shishua, Ph.D. in Aerospace Engineering, HKUST & University of Shanghai, China. Support in mathematics and formal AI aspects.
  • Jordan Levy, Ph.D. in Computer Science. Supervision in developing AI methods for anomaly detection in robotics.
  • Clément Blanco-Volle, Ph.D. in Computer Science. Support in formal aspects of online learning from agent-based systems.

Master's Alumni

  • Raul Carreira Rufato (M2, 2024), ISAE-SUPAERO. Mixed-variable Gaussian processes.
  • Robin Grapin (M2, 2024), ISAE-SUPAERO. Multi-objective Bayesian optimization.
  • Nicolas Gonel (M2, 2024), INSA Toulouse. Periodic Gaussian processes.
  • Hugo Reimereinger (Master, 2024), ISAE-SUPAERO. Orthogonal decomposition for shock reconstruction.
  • Maël Tremouille (L3, 2024), ENSAE Paris. Noisy Bayesian optimization.

Current Openings

Internship: Discovering new eco-materials for batteries using Bayesian optimization

Level: Master II / M.Eng. final year. Focus on frugal AI and material discovery.

Expertise, Valorization & Technology Transfer

Scientific Event Organization

  • MIMICO Launch Seminar (2025): Organizer at IRIT. Focus on Interpretable AI for agent-based models, bridging mathematics and computer science communities.
  • Surrogate Modeling Seminar (2021): Organizer at ISAE-SUPAERO. Exchange on software tools for researchers and industrial stakeholders.

Software & Open Source

  • GAMA Platform: Contributor. Developed Python interfaces for surrogate models and multi-agent reinforcement learning (Thuy Loi University and Ninh Binh coding camp, Vietnam, 2025 and 2026).
  • SMTOrg: Lead developer of SMT 2.0, smt-design-space-ext, and smt-explainability. High-impact tools for hierarchical design and explainable modeling.

Economic Impact & Industrial Partnerships

Industrial collaborations conducted under confidentiality agreements with major aerospace partners:

  • Bombardier (Canada): Principal Investigator for a contract utilizing SEGOMOE for vehicle design (2021).
  • Airbus (France) & Embraer (Brazil): Design of hybrid-electric aircraft and production chain planning for Global South logistics.
  • SAAB (Sweden) & Tecnam (Italy): Multimodal mobility and firefighting system optimization.

Societal Impact & Outreach

Active contributor to public policy and industry awareness. Key speaker at the Towards Sustainable Aviation Summit (Airbus/Toulouse City Hall), emphasizing the critical limits of aviation decarbonization and the necessity of frugal engineering.

Global Research Network

Global Research Network

My research is built on a diverse international network of collaborators across Europe, North/South America, and Asia. This interdisciplinary network connects academic research with industrial applications.

Scientific Collaborators

Julien Aligon Charles Audet Nathalie Bartoli Jasper H. Bussemaker Christophe David Sébastien Defoort Pierluigi Della Vecchia Youssef Diouane Giuseppa Donelli Sylvain Dubreuil Moncef Garouani Benoit Gaudou Joao Marcos Gomes de Mello Nicolas Gonel Robin Grapin Edward Hallé-Hannan John T. Hwang Rémi Lafage Thierry Lefebvre Sébastien Le Digabel Jordan Levy Rhea P. Liem Massimo Mandorino Joaquim R. R. A. Martins Matthieu Mastio Joseph Morlier Feodor Murzin Björn Nagel Eric Nguyen Van Shigeru Obayashi Pramudita Satria Palar Gaston Plat Lisa Pretsch Rémy Priem Rommel G. Regis Muhammad Daffa Robani James M. Shihua Koji Shimoyama Nicolas Verstaevel Aigerim Yerimbetova Lavi Rizki Zuhal

Interactive Collaboration Graph

Explore connections and network topology via DBLP

Open Graph

Professional Service

Committees & Memberships

  • RCIS 2026 – Program Committee Member.
  • RJCIA 2026 – Program Committee Member.
  • GDR I-GAIA – Active Member.
  • RT-UQ CNRS – Active Member.

Peer Reviewing

Active reviewing activity (35+ verified reviews) for international journals and conferences, including:

Nature Scientific Reports (4) Comp. Opt. and Applications (4) Journal of Comp. Science (3) Journal of Supercomputing (2) SMO (2) RJCIA (5) RCIS (3) PRIMA (2) PAAMS (2) AAMAS (1) MABS (1) J. Global Optimization (1) Neurocomputing (1) INFORMS Journal of Comp.(1) Sensors (1) Optics Letter (1) Optimization and Engineering (1) ML and Knowledge Extraction (1)

Academic Qualifications

CNU Section 26

Applied Mathematics – Qualified 2025

CNU Section 27

Computer Science – Qualified 2026

CNU Section 61

Computer Science: Automatic & Signals – Qualified 2026