Supervision

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 (Prime d'excellence scientifique) (Now PEDR: Prime d'encadrement doctoral et de recherche).

PoST-DOC

3) Seif-Eddine Benkabou. Semi-supervised regression (04/2018-03/2019) (Lead data scientist)
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)

phd Students

8) Mehdi Hennequin. Multi-view regression (06/2020 - ...) (With H. Elghazel)
7) Auday Berro. Machine learning based declative specifications in cognitive services (12/2019 - ...) (With B. Benatallah)
6) Yacine Gaci. AI embedding and cognitive systems (12/2019 - ...) (With B. Benatallah)
5) Vivien Kraus
.
Semi-supervised multi-task regression (03/2018 - ...)
4) Seif-Eddine Benkabou. Unsupervised anomaly detection for time-series (04/2015 - 03/2018) (Post-Doc à l'UDL)
3) Abdelouahid Alalga.
Semi-supervised multi-label feature selection (12/2013 - 07/2017)
(With N. Taleb) (Assistant 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)  (Assistant professor  at CESI).

MsC Students

22) Sami Cheminal-Comte. Machine learning for reorganization, rearrangement and naming of tyre data (03/2020 - 09/2020)
21) Thomas Ranvier.
Multi-view learning for
recommendation systems (02/2020 - 08/2020)
20) Maxime Lepetit. Deep learning for prediction of the position of the lung tumor (02/2020 - 08/2020)
19) Yasmine  Djebrouni.
Machine learning for distributed system optimization (01/2020 - 06/2020)
18) Assaad Keenan.
Hybrid approaches for
recommendation systems (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).