Practical info

Research & Teaching Assistant (A.T.E.R.) | Ph.D. in Conformal ML

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: +33 (0)3 44 23 42 02
Email: soundouss.messoudi@hds.utc.fr

Short bio

After completing my thesis at the University of Technology of Compiègne in the Heudiasyc Laboratory - UMR CNRS 7253 (HEUristics and DIAgnosis of Complex Systems) in the field of Machine Learning, I obtained my Ph.D. on December 9th, 2022. My thesis is entitled “Conformal prediction methods for complex data: Application to real estate management”. The main theme of my thesis was to determine a confidence region for a multi-target regression problem using conformal prediction, in addition to an application to a real estate management problem. My thesis was supervised by Sébastien Destercke and Sylvain Rousseau.

I am currently a Research & Teaching Assistant (A.T.E.R.) at UTC, where I carry out teaching activities on topics related to Machine Learning, Statistical Learning, and Logical Reasoning. I also continue my research work related to my thesis in the Heudiasyc Laboratory, mainly related to Uncertainty in Machine Learning and Conformal Prediction.