I am responsible for analysing the problems we face internally or those of our clients and design AI solutions suitable for handling them in an efficient way. In particular, I am concerned by problems related to time series apply to energy forcasting and predictive maintenance or computer vision apply to security and quality control. In addition I conduct research for different AI-projects in the domain of predictive maintenance and computer vision.

Developement and characterization of thermo-optical sweetching devices based on Spin-corsover nanoparticles/graphene heterostrucutres.

- Develop novel nanoelectronics and nanospintronics device geometries (FET & SET) based on graphene, semiconductor transition metal dichalcogenides (TMDs), Al-AlOx nanoparticles and 2D-0D Van der Waals heterostructures.- Use different tools to characterize the fabricated device (Scanning electron microscope, optical microscope, Raman spectroscopy, AFM)- Develop numerical scripts to analyse the data in other to test the quantum mechanics predictions to the oblained devices's properties.- Develop numerical scripts to analyse the data in order to test the quantum mechanics predictions of the blind devices' properties.- Reporting the achievement in different means (report, oral communication and articles).

Condensed Mater and Nanophysics.Thesis : Granular Spintronic.

Material science.