معرفی
Xavier Olive is a Professor and research scientist at Université de Toulouse and ONERA, specializing in Data Science, Machine Learning, and their applications to aviation. He holds a Habilitation à Diriger des Recherches and has served as a committee member for several high-profile conferences including SESAR Innovation Days and the OpenSky Symposium. His research focuses on optimizing air traffic management, anomaly detection in aviation data, and predictive maintenance.
Education:
- Habilitation à Diriger des Recherches (2023), Université de Toulouse 3 Paul Sabatier
Research Interests: Leveraging machine learning and data science for aviation safety, collision risk modeling, and air traffic optimization. Key areas include trajectory analysis, ADS-B data exploitation, and deconfliction strategies.
Publications Trends: Recent work emphasizes advanced collision risk quantification using disentangled variational autoencoders, deconfliction action extraction from historical data, and drone safety assessments in low-altitude environments. His research bridges theoretical methods with practical aviation challenges.
Advising: Supervises PhD students working on topics like Bayesian neural networks for anomaly detection and ADS-B-based airport operations. Collaborates internationally with institutions like ZHAW (Switzerland) and TU Delft (Netherlands).
Labs/Teams: Active in the OpenSky Network, contributing to open aviation data initiatives and ADS-B data analysis tools like the traffic library.
