ML-FIAB is a research project, which aims at developing and validating the Machine Learning techniques for strengthening the reliability of control systems, both in the medical and intelligent transport fields.

The originality of the ML-FIAB project is on the one hand to focus on the analysis of surveillance data by combining the training of AI models with automatic data alteration generation capacities, and on the other hand create synergy in the analysis of data from different types of surveillance data (medical monitoring, maritime traffic monitoring and connected vehicles).

This project is held by FEMTO-ST (JF Couchot and is supported by the Bourgogne Franche-Comté region and the National Research Agency (ANR):

One Ph.D student has been recruited for this Project.

One Post-Doc position is open. To apply please contact directly by email Jean François Couchot.