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

Selected recent publications

See the full list of my publications.
See also on Google Scholar, ResearchGate, HAL, Scopus and SciProfiles.

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

Editorial board member

2022Program Committee Member for the 10th OpenSky Symposium
2022Technical Committee Member for the 1st International Conference for CBM in Aerospace
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 Nicolas Huber starts working around hybrid trajectory generation methods for collision risk modelling (collaboration with ZHAW).

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).

active Timothé Krauth starts his research around trajectory generation and estimation of risk probability for aircraft collision (collaboration with ZHAW).

discontinued Hatem El Kadi developed RL-based techniques for aircraft deconfliction
(collaboration with ENAC).

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 ENAC and ISAE-SUPAERO).

Student assignments

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

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

2021graduated 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)