Full Professor of Data Science @ Caen University (on a secondment @ SystemX)

Scientific Responsible of Data Science AI @ IRT SystemX, the Research & Technology Organisation of Paris-Saclay

Address: Nano-Innov, 2 Boulevard Thomas Gobert, 91120 Palaiseau, France
Office: 01 69 08 06 30
Mobile (Pro): 06 79 98 82 74
Email: faicel DOT chamroukhi AT domain: Please use the contact domain as follows:
Matters related to SystemX: irt-systemx.fr
Teaching at UPSaclay: universite-paris-saclay.fr
Academic correspondence as a Professor: math.cnrs.fr or unicaen.fr

Hi and Welcome to the website of Faïcel Chamroukhi !

Bio: Faïcel Chamroukhi is a Full Professor of Statistics and Data Science at the University of Caen, Lab. of Mathematics Nicolas Oresme (LMNO), UMR CNRS 6139, and the department of Mathematics and Computer Science, since September 2016. In September 2022, he obtained a secondment to join the technological research institute IRT SystemX, the Research and Technology Organisation (RTO, Non-Profit Organization) of Paris-Saclay where he is the scientific head of Data Science and Artificial Intelligence. Since 2024 he has held the position of Professeur Attaché (Adjunct Professor) at Université Paris-Saclay, responsible for teaching Optimization for Machine Learning and Machine Learning Algorithms in the Master of Science programs in Artificial Intelligence and Data Science.
He was a Visiting Professor (from June to September 2019) at the University of Queensland, Department of Mathematics, working with Geoff McLachlan and Adjunct Visiting Professor (from September 2020 to January 2021) at La Trobe University, Department of Mathematics and Statistics, working with Hien D. Nguyen. From 2011 to 2015, he was an Assistant and then an Associate Professor of Computer Science & Machine Learning at the University of Toulon, department of Computer Science, and the Information Sciences and Systems Lab (LSIS), UMR CNRS 7296. From 2007 to 2011, he was a Lecturer and then an Assistant Professor (ATER) at Paris 13 University, Department of Computer Science & Machine Learning team of LIPN UMR CNRS. In 2015-2016, he was awarded a CNRS leave for research, at the Lab of Mathematics Paul Painlevé, UMR CNRS 8524, and was also a Visiting Scientist at INRIA Modal, in Lille and in 2019-2020 he was awarded a national CRCT (CNU) semester leave for research. He obtained his Accreditation to Direct Research/Habilitation à Diriger les Recherches, in computer science and applied mathematics in December 2015 from Toulon University, his Ph.D. in the same area in December 2010, from Compiègne University of Technology, and Heudiasyc UMR CNRS 7253 and IFSTTAR labs, and Master's degree in Information Processing and Engineering, in June 2007 from PARIS 6 (Pierre and Marie Curie) University. His primary research interests include statistical inference and machine learning, latent variable models and unsupervised learning in high-dimensional and large-scale scenarios.