UMR CNRS 7253

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Machine Learning PhD Student

Université de Technologie de Compiègne (UTC)
Research lab: Heudiasyc UMR CNRS 7253

Address:
CS 60319 - 57 avenue de Landshut
60203 COMPIEGNE CEDEX - FRANCE

Office: GI104
Phone: 42 02
Email: soundouss.messoudi@hds.utc.fr

Short bio

After getting an engineering degree in computer science, Major Business Intelligence from ENSIAS, I put into practice my theoretical knowledge as a BI consultant for a year and a half on a European decision-making system in the field of energy to integrate thousands of data in a short time on a daily basis.

My work in BI and Data sparked my interest in Data Mining and Machine Learning methods, which pushed me to pursue the Research Master’s Degree in Intelligent Systems, with a Major in Machine Learning and Data Mining at Paris-Dauphine University to reinforce my knowledge of Machine Learning and Deep Learning. I then did a Ph.D. at Heudiasyc, Université de Technologie de Compiègne (UTC) under the supervision of Sébastien Destercke and Sylvain Rousseau. My Ph.D. was mainly focused on conformal prediction methods for complex data and problems, such as multi-target regression, with an application to real estate management.

I am currently an Assistant Professor at Heudiasyc, UTC focusing on Trusworthy Artificial Intelligence with conformal prediction.


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