Research interests
I am a research scientist with ONERA and Université de Toulouse.
My research interests include Data Science, Machine Learning and Decision Science applied to aviation, with a particular focus on optimisation, anomaly and pattern detection.
Applications range from air traffic management, operations, predictive maintenance, safety analyses and risk assessment.
See also on Google Scholar, ResearchGate, HAL, Scopus and SciProfiles.
https://orcid.org/0000-0002-2335-5774Editorial board member
2025Program Committee Member for the 15th SESAR Innovation Days
2025Program Committee Member for the 13th OpenSky Symposium
2025Track chair “Air Traffic Management” for the 44th DASC Conference
2025Track chair “Air Traffic Management” for the 25th ICNS Conference
2024Program Committee Member for the 14th SESAR Innovation Days
2024Program Committee Member for the 12th OpenSky Symposium
2024Technical Committee Member for the 2st International Conference for CBM in Aerospace
2023Program Committee Member for the 13th SESAR Innovation Days
2023Program Committee Member, Local Chair for the 11th OpenSky Symposium
2022Co-editor in chief for the Journal of Open Aviation Science
2022Program Committee Member for the 10th OpenSky Symposium
2022Technical Committee Member for the 1st International Conference for CBM in Aerospace
2021 Guest Editor for MDPI Aerospace Special Issue Application of Data Science to Aviation II
2021Program Committee Member for the 9th OpenSky Symposium: proceedings, videos
2021 Editor for TU Delft OPEN Publishing
2021 Guest Editor for MDPI Aerospace Special Issue Application of Data Science to Aviation
2020 Technical Program Chair for the 8th OpenSky Symposium: proceedings, videos
Book
- Programmation Python avancée with Dunod Editions (in French)
Most active collaborations
- Luis Basora and Jérôme Morio, ONERA, Université de Toulouse 🇫🇷
- Benoit Figuet and Raphael Monstein, ZHAW, Zurich, Switzerland 🇨🇭
- Junzi Sun, Technical University of Delft, The Netherlands 🇳🇱
- Michael Schultz, Universität der Bundeswehr, München, Germany 🇩🇪
PhD students
2025
2022active Zakaria Ezzahed will defend his thesis about explainability on autoencoders and variational autoencoders for trajectories, entitled “Explainability in Autoencoders for Time Series: From Latent Space Interpretation to Global Saliency Maps”
(collaboration with Christophe Hurter, ENAC)
2025
2022active Kim Gaume will defend his thesis about data-driven methods and uncertainty quantification about conflict resolution, entitled “Extracting lateral deconfliction manoeuvres and uncertainty parameters from historical ADS-B air traffic data”
(collaboration with David Gianazza and Richard Alligier, ENAC)
2024
2021thesisgraduated Timothé Krauth defended his thesis about trajectory generation and estimation of risk probability for aircraft collision, entitled “Deep Generative Modelling for Mid-Air Collision
Probability Estimation”
(collaboration with Jérôme Morio, ONERA, and Michael Felux, Benoit Figuet and Manuel Waltert, ZHAW)
2021
2017thesisgraduated Sana Ikli defended her thesis around the Aircraft Landing Problem, entitled “Méthodes exactes et heuristiques pour l’ordonnancement des atterrissages d’avions”
(collaboration with Marcel Mongeau, Catherine Mancel, ENAC and Emmanuel Rachelson ISAE-SUPAERO)
Student assignments
2025graduated Arnault Motte graduated after working on Conditional Variational Autoencoders for aircraft trajectory generation.
2022paper Arthur Viens
A benchmark on uncertainty quantification for deep learning prognostics
2022graduated Michel Khalaf graduated after working on real-time turbulence information extraction from ADS-B data.
2021paper Adrian Lafage graduated after a work on temporal convolution network for trajectory generation.
2021graduated Raphaël Delair graduated after a work on ADS-B based airport collaborative decision making, with a particular focus on ground operations.
2020 Paloma Bry paper
Aircraft Fleet Health Monitoring with Anomaly Detection Techniques
2019 Benoît Viry paper
Deep Trajectory Clustering with Autoencoders
2018 Jeremy Grignard paper
Detecting Controllers’ Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection
Open access projects (open source, open data)
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The traffic library provides data analysis methods commonly applied to trajectories and airspaces. It offers facilities to parse and/or access traffic data from open sources of ADS-B traffic like the OpenSky Network. It is designed to be easily extendable to other sources of data.
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The open aviation data initiative intends to reference any kind of (possibly open) data initiative related to aviation. It is supported by a group of academics, researchers and aviation people working to bring the power of data in order to improve the current state of the art in aviation.
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I am pretty active within the OpenSky Network, a non-profit association aiming at improving the security, reliability and efficiency of the air space usage by providing open access of real-world air traffic control data to the public.
