Soundouss Messoudi

Soundouss Messoudi is an Assistant Professor at the University of Technology of Compiègne (UTC), affiliated with the Heudiasyc UMR CNRS 7253 research unit. Her academic journey began with an engineering degree in Business Intelligence from ENSIAS, followed by a Research Master’s in Intelligent Systems (Major: Machine Learning and Data Mining) at Paris-Dauphine University, and a Ph.D. at UTC under the supervision of Sébastien Destercke and Sylvain Rousseau.

• Education
  • Engineering Degree in Computer Science (Business Intelligence), ENSIAS
  • Research Master’s in Intelligent Systems (Machine Learning and Data Mining), Paris-Dauphine University
  • Ph.D. in Conformal Prediction Methods for Complex Data, Heudiasyc, UTC

Her research focuses on Robust Artificial Intelligence and Uncertainty Quantification using conformal prediction. Prior to her academic career, she worked as a BI consultant on European energy decision-making systems, integrating large-scale data daily. This practical experience fueled her academic pursuits in Data Mining and Machine Learning. Her work spans theoretical and applied domains, with applications in real estate management.

While her publications section is noted in the website navigation, specific contributions are not listed in the provided text. She maintains professional connections via her office at Université de Technologie de Compiègne (GI009) and email soundouss.messoudi@hds.utc.fr.