Dr. Hamida Seba

Associate professor HDR, University Lyon 1







Current PhD students

-        Antoine Castillon – Online algorithms for graph compression. Co-supervised with Julien Baste and Clarisse Dhaenens (CRIStal, Univ Lille) and Mohammed Haddad (LIRIS, Univ Lyon 1) within ANR COREGRAPHIE.

-        Ali Yassin    Graph Compression.  Co-supervised with Olivier Togni (LIB, Dijon) and Hocine Cherifi (ICB, Dijon) within ANR COREGRAPHIE.

-        Farouk  Damoun    Federated learning and graph neural networks. Co-supervised with Radu State (SnT/Luxembourg)

-        Walid Megherbi – Anomaly detection in graph stream. Co-supervised with Mohammed Haddad (LIRIS- Univ Lyon 1) within ANR GLADIS.

-        Abderaouf Gacem    Deep learning on graphs.  Co-supervised with Mohammed Haddad (LIRIS).

-        François Pitois    Regularity search and succinct representation of graphs. Co-supervised with Olivier Togni (LIB-Dijon) and Mohammed Haddad (LIRIS).


Former PhD students

-        Ikenna Oluigbo    Contributions to random walk based graph representation learning.  Defence on November 24th 2022. Co-supervised with Mohammed Haddad (LIRIS). Ikenna is a postdoc at LIRIS.

-        Abd Errahmane Kiouche     Graph comparison : approach by compression and sampling. Defended on November 9th 2021. Co-supervised with Karima Amrouche (ESI). Currently postdoc at LIRIS, Université Lyon 1.

-        Rim Gasmi   Reliable Applications in vehicular networks. Defended on November 22nd 2020.  Co-direction with  Pr Makhlouf Aliouat (univ-Sétif) within the PHC TASSILI DATACAP.

-        Sarra Messai – Mobility management in Wireless Sensor networks, defended on November 24th 2019.  Co-direction with Pr Abdallah Boukerram (University Sétif 1) within the PHC TASSILI DATACAP.

-        Chemseddine Nabti – Subgraph Isomorphism Search in Massive Graph Data, defended on December 15th 2017. Currently at Adelyce, France.

-        Kamel Madi    Graph-based approach to large scale Kite recognition, defended December 13th 2016. Co-direction With Pr H. Kheddouci(LIRIS), C.- E. Bichot (LIRIS) and O. Barge(Archéorient) within the KITE project. Currently at Umanis.

-        Mohamed-Lamine MESSAI    Group key management in wireless sensor networks. Defended   Avril 2016. Co-directed with Makhlouf Alliouat.  Currently an Asoociate professor at Université Lyon 2.

-        Besem Abid – Optimizing data collection in wireless sensor networks, defended March 23rd 2015. Currently at ITRON France.

-        Kaouther Drira   Graph-coloring and clustering, defended on December 14th 2010. Co-direction with H. Kheddouci.


-        Tobias Rupp: Funded by ANR COREGRAPHIE (2023).

-        Abd Errahmane Kiouche: funded by ANR GLADIS (2022- 2023).

-        M.-L. Messai: post doc fellow funded by PHC project, 2017.

-        Riadh Kennoufa – postdoc fellow funded by CCI de l’AIN, 2010.

Master (M2-intership) students

-        Mohamed Kadri & Djameleddine Hamouche. Anomaly detections in graph streams. Oct 2022-June 2023. Co-supervised by L. Messai

-        Clement Aralou. Deep learning approach to graph compression. Feb-June 2023.

-        Aymen Ourdjini, Graph kernels, Feb.-June 2022. Co-supervised with A. Kiouche.

-        Maria Badr, anomaly detection in graph streams, April-October 2022. Co-supervised with M. Haddad.

-        Antoine Castillon. Graph Compression by clique mining. Feb-June 2021. Co-supervised with J. Baste and M. Haddad.

-        Walid Megherbi. Dense graph mining. Feb-June 2021. Co-supervised with M. Haddad.

-        Gaetan Berthe, graph sparsification. Feb-June 2021. Co-supervised with M. Habib and M. Haddad.

-        Abderaouf Gacem, Graph learning: Feb-June 2020. Co-supervised with Karima Amrouche and Mohammed Haddad

-        Valentin Comas, Large-scale machine learning on graph data and application to image processing.

Co-supervised with Mohammed Haddad, Emmanuel Perrin et Fabien Millioz: Feb-June 2020.

-        Khaled Chabane, Compression of  RDF graphs : Feb-June 2020. Co-supervised with K. Amrouche and Mohammed Haddad

-        Mohammed Chikouche, Urban data analysis, an approach based on graph compression: Feb-June 2020. Co-supervised with K. Amrouche,  Jhon Samuel and Sylvie Servigne

-        François Pitois, Graph Compression by structural partitioning: Feb-June 2018. Co-supervised with Mohammed Haddad

-        Hafsa Bousbiat and Sana Ihadadene , state of the art on graph compression(2018). Co-supervised with Karima Amrouche.

-        Nicolas Pinson, Graph compression preserving distances, (co-supervised with Mohammed Haddad (2018).

-        Nesrine Belhocine  and Walid Guermah, Analysis and implementation of graph compression approaches. Co-supervised with Karima Amrouche and Mohammed Haddad (2018).

-        Thamer Mecharnia and Salah Boukhetta, Graph matching and application to Kite recognition. Co-supervised with Karima Amrouche (2018).

-        Cyril Veve, Graph sampling (2016).

-        Jocelyn Bernard, Maximum and maximal clique problems on compressed graphs (2015)

-        Valentin Lachand, Graph matching by decomposition (2015)

-        Aurelien Dussauge, Geometric graphs (2015)

-        Finn Volkel, Maximum Clique enumeration in larges graphs (2014)

-        Elsen RONONDO, Matching large graphs (2014)

-        Nguyen Tien TRUNG, Data aggregation for energy saving in wireless sensor networks (2013).

-        Wiem ELGHAZEL, Data aggregation in real time sensor networks (2012).

-        Abir M’baya, Graph matching (2012).

-        Sonia, ABBAS, web service mathmaking (2011).

-        Sofiane LAGRAA, Web Service machmaking by subgraph matching (2010).

-        Anissa Abroughi, Energy saving and clustering (2008).

-        Kaouther Drira, network clustering for group key management (2006).