I am regurarly involved in the supervision of Post-doc and PhD/MsC students with many subjects in machine learning and data mining. I receive the PES/PEDR/RIPEC...
phd Students
11) Ramzi Badache. Multimodal anomaly detection for cardiomyopathy diagnosis (03/2025 - ...) (With Y. Elmir)
10) Yassir Lairgi. Graph neural nets for competitive intelligence (12/2023 - ...) (With R. Cazabet and L. Moncla)
9) Auday Berro. AI-based Paraphrasing in Dialog Services (12/2019 - 06/2024) (With B. Benatallah)
8) Mehdi Hennequin. Multi-view transfert regression for industry (06/2020 - 03/2024) (With H. Elghazel)
7) Thomas Ranvier. Multi-source learning for health (10/2020 - 12/2023) (With H. Elghazel and E. Coquery)
6) Yacine Gaci. AI-based Subjectivity in NLP and Cognitive Services (12/2019 - 06/2023) (With B. Benatallah)
5) Vivien Kraus. Semi-supervised multi-task regression (03/2018 - 03/2021) (Post-doc at Reims)
4) Seif-Eddine Benkabou. Unsupervised anomaly detection for time-series (04/2015 - 03/2018) (Assistant professor at University of Poitiers)
3) Abdelouahid Alalga. Semi-supervised multi-label feature selection (12/2013 - 07/2017) (With N. Taleb) (Associate professor at university of Annaba)
2) Raywat Makkhongkaew. Semi-supervised Co-selection (09/2013 - 12/2016) (Chief Data scientist at SRT of Thailand)
1) Mohammed Hindawi. Semi-supervised feature selection (03/2010 - 02/2013) (With A. Aussem) (Lecturer at CESI).
MsC Students
31) Oumou Sougou. Multimodal anomaly detection for electric car diagnosis (04/2025-09/2025)
31) Yacine Benyamina. Multimodal feature selection for cardiomyopathy diagnosis (03/2025-08/2025)
30) Emilien Komlenovic. Multimodal denoising and completion for electric car diagnosis (02/2025-07/2025)
29) Chourouk Halah Abdelaziz. Multi-view anomaly detection from cardiomyopathy data (02/2024-07/2024)
28) Abdelkrim Zitouni. Multi-view learning for cardiomyopathy diagnosis (02/2024-07/2024)
27) Heloïse Alheritiere. Deep multi-view learning by domain adaptation for predictive maintenance (04/2023-09/2023)
26) Rahma Farssi. Deep learning-based NLP for processing and analysing patient experience in health (04/2023-09/2023)
25) Baha-Eddine Nil. Machine learning for Web-table Data unifying (03/2021-09/2021)
24) Omar Maftoul. Efficient Machine learning methods for Web-table data reorganizing (03/2021-03/2021)
23) Sami Cheminal-Comte. Machine learning for reorganization, rearrangement and naming of tyre data (03/2020 - 09/2020)
22) Thomas Ranvier. Multi-view learning for recommendation systems (02/2020 - 08/2020)
21) Maxime Lepetit. Deep learning for prediction of the position of the lung tumor (02/2020 - 08/2020)
20) Yasmine Djebrouni. Machine learning for distributed system optimization (01/2020 - 06/2020)
19) Assaad Keenan. Hybrid approaches for recommendation systems (02/2019 - 07/2019)
18) Abdelnacer Keraghel. Deep learning-based NER task recognition (02/2019 - 07/2019)
17) Yacine Gaci. Machine learning for adaptive execution in Big Data systems (01/2019 - 06/2019)
16) Matthieu Moisson. Machine learning for complex query analysis (02/2018 - 08/2018)
15) Kilian Bourhis. Machine learning for recommendation systems (02/2018 - 08/2018)
14) Vivien Kraus. Semi-supervised regression for town-planning (04/2017 - 09/2017)
13) Damien Mornieux. Deep-learning for recommendation systems (03/2017 - 09/2017)
12) Jeremy Ferrer. Unsupervised metric learning for recommendation systems (02/2016 - 06/2016)
11) Pierre-Alain Roullet. Outlier detection for time-series by spectral clustering (02/2014 - 06/2014)
10) Antoine Patel. Semi-supervised co-selection by weigthing approach (02/2014 - 09/2014)
09) Melhem Melhem. Privacy preserving clustering by graph based learning (02/2011 - 06/2011)
08) Kais Allab. Topological co-clustering and feature selection (02/2010 - 06/2010)
07) Ghizlène Bendiabdallah. Fraud detection in Telecoms (02/2010 - 06/2010)
06) Fatma Hamdi. Consensus clustering by graphs (02/2009 - 06/2009)
05) Rakia Jaziri. Hybrid system (Neural nets and graphs) for knowledge discovery (02/2009 - 06/2009)
04) Jihène Snoussi. Generative constrained clustering (02/2008 - 06/2008)
03) Anouar Benhassena. Topological constrained clustering (02/2007 - 06/2007)
02) Yves Lecoadou. Local modeling for time-series prediction (03/2004 - 09/2004)
01) Arnaud Zeboulon. Mixture-model for clutering of web navigation patterns (03/2001 - 09/2001)
PoST-DOC
3) Seif-Eddine Benkabou. Semi-supervised regression (04/2018-03/2019) (Assistant professor at University of Poitiers)
2) Haytham Elghazel. Unsupervised topological clustering and graph coloring (09/2008-08/2009) (Assistant professor at University of Lyon1)
1) Nadjim Chelghoum. Spatial Data mining (09/2007-08/2008) (Research engineer at INSERM)