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 models into transparent tools for decision-making under environmental and climate uncertainty.

Through an iterative co-design paradigm with domain experts, this framework provides actionable insights for two main classes of complex systems: sustainable transport design and agent-based simulations for socio-environmental risk assessment.

Research Directions

Frugal AI for Expensive Simulations

Designing scalable, data-efficient surrogate models (Gaussian processes, sparse approximations) to emulate computationally prohibitive simulations, reducing carbon footprint and enabling real-time analysis.

Explainable Surrogate Modeling

Extracting transparent knowledge from black-box emulators. Applying sensitivity analysis and functional ANOVA to guarantee that AI recommendations are interpretable by human decision-makers.

AI for Socio-Environmental Systems

Bridging machine learning and agent-based modeling (ABM) to simulate and analyze dense crowd dynamics, urban mobility, and climate resilience policies, particularly in the Global South.

Decision-Making under Uncertainty

Developing active learning and Bayesian optimization techniques to explore vast design spaces safely, optimizing complex eco-designs while bounding environmental uncertainties.

Selected Research Projects

British Council - Springboard Grant (Springboard2025-2175)

Principal Investigator

International Collaboration with University of Exeter, UK

A collaborative initiative focused on Frugal AI for Climate Risk. This grant facilitates the joint development of statistical emulators for climate impact quantification between IRD (France) and Exeter (UK).

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

Principal Investigator

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

A research mobility project addressing Uncertainty-Aware AI for Climate Resilience in the Global South. This grant supports a joint framework using active learning and Bayesian calibration to improve regional climate projections between IRD (France) and ITB (Indonesia).

ANR MIMICO (2025 - 2026). 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. These works were recognized by two Best Paper Awards for contributions to XAI and Surrogate Modelling.

Sustainable Mobility Optimization. EU Comission, Horizon 2020 COLOSSUS and AGILE 4.0 projects. Grant Numbers 815122 and 101097120

Applying Bayesian optimization to the eco-design of complex transport systems. These works were recognized by two AIAA Best Paper Awards for methodological contributions to green aviation.

Awards & Distinctions

Thesis & Doctoral Awards

  • 2026: Sustainable Mobility Award (Abertis Foundation)
  • 2026: Francophone Artificial Intelligence Award (AUF / RéFIA)
  • 2025: National Open Science Award (French Ministry of Research)
  • 2024: Best PhD Thesis Award (Fondation ISAE-SUPAERO)

Best Papers & Research Prizes

  • 2026: IDA Frontier Prize (Springer)
  • 2026: Best Paper Award (JFSMA / AFIA)
  • 2024: AIAA Best Student Paper Award (MDO TC)
  • 2022: AIAA Best Paper Award (MDO TC)

Grants & Funding

Fellowships & Research Grants

  • Post-doctoral Grant: ANR MIMICO (ANR-24-CE23-0380).
  • Post-doctoral Grant: Horizon Europe COLOSSUS (ID 101097120).
  • PhD Thesis Grant: ENAC/ISAE/ONERA Federation & ONERA.
  • Master’s Thesis Grant: Horizon Europe 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)

Funded Positions (Team)

  • PhD Grant: Frugal AI for HPC climate impact (ENAC/ISAE/ONERA & ONERA).
  • PhD Grant: Spatio-Temporal Agent-based Surrogates Simulation of Urban Resilience in Indonesia (LPDP).
  • 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).

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.

Professional Service

Committees & Memberships

  • AAMAS 2027 – Program Committee Member.
  • RCIS 2026 – Program Committee Member.
  • RJCIA 2026 – Program Committee Member.
  • WISE 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 (5) Comp. Opt. and Applications (4) Journal of Comp. Science (3) Journal of Supercomputing (2) SMO (2) RJCIA (5) RCIS (3) PRIMA (2) PAAMS (3) 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) Discover Applied Sciences (1) Complexities (1) WISE (3)

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