About me
I am a computer science (CS) researcher at ENSTA - LabSTICC UMR-6285 (Brest, FR), working on "Multi-agent coordination algorithms and behavioral simulation".
Prior to this, I held a lecturer position in CS at École Navale (Brest, 2022–2023) and conducted postdoctoral research at several prestigious institutions: ONERA (Toulouse), LIRMM UMR-5506 (Montpellier), and LIS UMR-7020 (Marseille), where I was actively involved in both research and teaching activities.
I obtained a Ph.D. in Logic-Based Artificial Intelligence from Aix-Marseille Université, supervised by Professors Pierre Siegel and Andrei Doncescu. I also hold a M.Sc. in Electrical and Automation Engineering from ENSEEIHT (Toulouse).
Research
My research lies at the intersection of symbolic Artificial Intelligence and formal reasoning, with a strong emphasis on Multi-Agent Systems (MAS) and their logical foundations. I specialy focus in Knowledge Representation & Reasoning, grounded in logic programming (a paradigm of declarative programming), non-monotonic reasoning, and paraconsistent logics. These formalisms enable agents to reason in the presence of incomplete, inconsistent, or evolving information, a common challenge in real-world MAS scenarios.
In addition to my research, I contribute to the academic community through peer review activities:
Journal Reviewer:
- Mathematics and Statistics, ISSN: 2332-2144 (Online)
Volunteer Conference Reviewer:
Publications
ORONER: An Ontology for Representing interOrganizational Networks Resilience. A building block towards adaptive network reconfiguration
Un cadre paraconsistant pour l'évaluation de similarité dans les bases de connaissances
Dynamic Swarming Autonomous Underwater Vehicles through Behavioral Rules using Declarative Programming
Teaching
Lectures taught at ENSTA-Bretagne
| Laboratory Session | Robotic Operating System (ROS) | 2A / 36h |
| Laboratory Session | Embedded linux (Docker) | 2A / 4h |
Projects
AID-TECTONIC (2022-2025)
Research project conducted at
École Navale/IREnav in collaboration with
Lab-STICC, focusing on UAV navigation in GPS-denied environments.
The purpose of
this research project is to propose an alternative
operational positioning system for a UAV based on
video images. This approach will be based on the
embedding of knowledge (environmental, mission
planning) which will evaluate errors in the
positioning of the UAV and decide in real-time on
the progression of the mission to adapt its navigation
trajectory according to the information from image
analysis, sensor data from sensors (altimeter, IMU,
etc.), weather conditions, etc.
AID-COMAI (2022-2025)
Research project conducted at
École Navale/IREnav. Study of human-AI collaboration conditions within complex naval socio-technical systems, particularly trust mechanisms between human operators and autonomous agents (surface and underwater drones) in real mission scenarios.
The project combines organizational resilience and multi-agent approaches to analyze and improve human-autonomous system interaction in high-stakes maritime environments.
SNAM project - Brittany region (2022-2023)
Research project conducted at
École Navale/IREnav. Implementation of AI techniques (multi-agent systems, multi-criteria optimization) for real-time optimal energy management aboard hybrid ships.
Development of advanced control strategies to optimize energy flows according to mission profiles and operational constraints, contributing to the reduction of maritime transport's carbon footprint through intelligent energy distribution.
Presentations
Miscellaneous
📝 When writing...A curated list of tools for professional and academic writing, editing, typesetting, and publishing.
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🚧 When coding...Tools and environments for logical programming, system design, and development workflows.
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When using Freeware tools...A selection of open-source and lightweight tools for various tasks. |
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