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

- Seif-Eddine Benkabou. Semi-supervised regression (04/2018-03/2019)
- Haytham Elghazel. Unsupervised topological clustering and graph coloring (09/2008-08/2009) (Assistant professor at University of Lyon1)
- Nadjim Chelghoum. Spatial Data mining (09/2007-08/2008) (Research engineer at INSERM)

phd Students

- Vivien Kraus. Semi-supervised multi-label learning (03/2018 - ...)
- Seif-Eddine Benkabou. Unsupervised anomaly detection for time-series (04/2015 - 03/2018) (Post-Doc à l'UDL)
- Abdelouahid Alalga.
Semi-supervised multi-label feature selection (12/2013 - 07/2017) (Assistant professor at university of Annaba)
- Raywat Makkhongkaew.
Semi-supervised Co-selection (09/2013 - 12/2016) (Chief Data scientist at SRT of Thailand)
- Mohammed Hindawi
. Semi-supervised feature selection
(03/2010 - 02/2013) (Post-doc at INSA of Rennes)

MsC Students

- Assaad Keenan. Hybrid Machine learning approaches for recommendation systems (02/2019 - 07/2019)
- Yacine Gaci. Machine learning for adaptive execution in Big Data systems (01/2019 - 06/2019)
- Matthieu Moisson.
Machine learning for complex query analysis (02/2018 - 08/2018)
- Kilian Bourhis.
Machine learning for recommendation systems (02/2018 - 08/2018)
- Vivien Kraus
. Semi-supervised regression for town-planning (04/2017 - 09/2017)
- Damien Mornieux. Deep-learning for recommendation systems (03/2017 - 09/2017)
- Jeremy Ferrer. Unsupervised metric learning for recommendation systems (02/2016 - 06/2016)
- Pierre-Alain Roullet. Outlier detection for time-series by spectral clustering (02/2014 - 06/2014)
- Antoine Patel. Semi-supervised co-selection by weigthing approach (02/2014 - 09/2014)
- Melhem Melhem. Privacy preserving clustering by graph based learning (02/2011 - 06/2011)
- Kais Allab
. Topological co-clustering and feature selection (02/2010 - 06/2010)

- Ghizlène Bendiabdallah
. Fraud detection in Telecoms (02/2010 - 06/2010)

- Fatma Hamdi
. Consensus clustering by graphs  (02/2009 - 06/2009)

- Rakia Jaziri
. Hybrid system (Neural nets and graphs) for knowledge discovery (02/2009 - 06/2009)

- Jihène Snoussi
. Generative constrained clustering (02/2008 - 06/2008)
- Anouar Benhassena. Topological constrained clustering (02/2007 - 06/2007).
- Yves Lecoadou
. Local modeling for time-series prediction (03/2004 - 09/2004).
- Arnaud Zeboulon. Mixture-model for clutering of web navigation patterns (03/2001 - 09/2001).