Léa Dubreil

About Me

Curious and open-minded PhD student, I tend to participate in the creation of innovative systems. I currently research topics related to the hybridization of machine learning and state estimation techniques in the context of navigation systems. Constantly learning, I am driven by challenges and I am eager to improve my skills by your side. My persistent work and motivation are just waiting to work along with you.

Research

• Hybrid Filters: Statistical Signal Processing, Machine learning, Filtering, Riemannian Geometry, Constrained Optimization. Applications to GNSS during my PhD.



• Radar-based navigation of a cubesat: Master thesis developped during my M.Sc. with Lorenzo Ortega. Lead to the dissertation: Precise orbit determination of OPS-SAT-1 using Doppler shifts observations from ESOC-1.

Publications

Teaching

• Introduction to Machine Learning - Engineering 1A - 14h:
tutorials and project.

• Probability - Engineering 1A - 8h:
tutorials.
• Statistics - Engineering 1A - 8h:
tutorials.

• Problem Based Learning — MS — 18h:
information theory applied to compression and cryptography.
• Signal processing — Engineering 1A — 8h:
study of a signal acquisition chain (GNSS, radar).
• Signal processing — Engineering 1A — 13.5h:
experimentations of the GNSS navigation filter with a WLS and EKF based on real GNSS data, for GNSS/INS navigation and RTK.

Contact

Email: [javascript protected email address]

LinkedIn: LinkedIn Profile

ResearchGate: Research Gate

GitHub: Git Hub