Pr. Hamida Seba

University Claude Bernard Lyon 1

 

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Students

Teaching

Current PhD students

1.       Cyril Perosino – Machine Learning Models on Complex Data for the Prevention of Payment Defaults. CIFRE thesis.

2.       Clement Aralou – Optimisation sur les graphes par apprentissage automatique. Co-supervised with Samba Ndojh NDIAYE and Mohammed Haddad (LIRIS, Univ Lyon 1).

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

Former PhD students

4.       Abderaouf Gacem –   Exploring Data Augmentation for Graph Representation Learning.  Co-supervised with Mohammed Haddad (LIRIS). Defended on September 25th 2025.

5.       Farouk  Damoun –   Federated learning and graph neural networks. Co-supervised with Radu State (SnT/Luxembourg) within ANR GLADIS. Defended on December 16th 2024. Farouk is currently data scientist at Goodyear Luxembourg.

6.       Walid Megherbi – Anomaly detection in graph streams. Co-supervised with Mohammed Haddad (LIRIS- Univ Lyon 1) within ANR GLADIS. Defended on April 17th 2025. Currently ATER at UCBL.

7.       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. Defended on October 28th 2024. Currently Math teacher at Prépa Sainte Marie, Lyon.

8.       François Pitois –   Regularity search and succinct representation of graphs. Co-supervised with Olivier Togni (LIB-Dijon) and Mohammed Haddad (LIRIS). Defended on July 10th 2024. Co-supervised with Olivier Togni (LIB, Dijon) and Mohammed Haddad (LIRIS). François is currently ATER at ENS Lyon.

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

10.    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.

11.    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.

12.    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.

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

14.    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.

15.    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.

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

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

Postdocs

o   Khadidja Hab el Hames: Funded by ANR COREGRAPHIE (2024).

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

o   Tobias Rupp: funded by ANR COREGRAPHIR (2023)

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

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

Master (M2-intership) students

  • Cyril Perosino, anomaly detectetion in scarsely labeled graph data, 2024.
  • Gouasmia Malak, Malware detection with GNNs, 2024. Co-supervised with A. Kiouche
  • Athmane Mansour Bahar & Kamel Ferrahi (pair), APT detection with deep learning on graphs., 2024, co-supervised with  M.-L.  Messai.
  • Souhail Sadat & Mohamed-Yacine Touahria-Miliani (pair), Anomaly detection using hyperbolic graph embedding, 2024, Co-supervised with M. Haddad.
  • Mohamed Kadri & Djameleddine Hamouche (binome). Anomaly detections in graph streams. Oct 2022-June 2023. Co-supervised by M.-L. Messai
  • Clement Aralou. Deep learning approach to graph compression. Co-supervised with S. Ndiaye and Mohammed Haddad. 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).