Xavier Olive research teaching python blog til cli

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.

» Past news

Full list of publications

See also on Google Scholar, ResearchGate, HAL, Scopus and SciProfiles.

ORCID iD iconhttps://orcid.org/0000-0002-2335-5774

Editorial board member

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


Most active collaborations

PhD students

active Kim Gaume starts working around data-driven methods and uncertainty for air traffic deconfliction methods (collaboration with ENAC).

active Zakaria Ezzahed starts his research around explainable artificial intelligence for anomaly detection (collaboration with ENAC).

graduated 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).

graduated 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

2022graduated Arthur Viens starts working on Bayesian neural networks for anomaly detection and Remaining Useful Life (RUL) estimation.

2022graduated Michel Khalaf starts working on real-time turbulence information extraction from ADS-B data.

2021paper Adrian Lafage graduated after a work on a trajectory generation framework.

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)