Pr. Hamida Seba University Claude Bernard Lyon 1
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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. 4. Abderaouf Gacem – Deep learning on graphs. Co-supervised with Mohammed Haddad (LIRIS). Former PhD students 1. Farouk Damoun – Federated learning and graph neural networks. Co-supervised with Radu State (SnT/Luxembourg) within ANR GLADIS. Defended on December 16^th 2024. 2. Walid Megherbi – Anomaly detection in graph streams. Co-supervised with Mohammed Haddad (LIRIS- Univ Lyon 1) within ANR GLADIS. Defended on April 17^th 2025. Currently ATER at UCBL. 3. 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 28^th 2024. Currently Math teacher at Prépa Sainte Marie, lyon. 4. François Pitois – Regularity search and succinct representation of graphs. Co-supervised with Olivier Togni (LIB-Dijon) and Mohammed Haddad (LIRIS). Defended on July 10^th 2024. Co-supervised with Olivier Togni (LIB, Dijon) and Mohammed Haddad (LIRIS). François is currently ATER at ENS Lyon. 5. Ikenna Oluigbo – Contributions to random walk based graph representation learning. Defence on November 24^th 2022. Co-supervised with Mohammed Haddad (LIRIS). Ikenna is currently a postdoc at LIRIS. 6. Abd Errahmane Kiouche – Graph comparison: approach by compression and sampling. Defended on November 9^th 2021. Co-supervised with Karima Amrouche (ESI). Currently postdoc at LIRIS, Université Lyon 1. 7. Rim Gasmi – Reliable Applications in vehicular networks. Defended on November 22^nd 2020. Co-direction with Pr Makhlouf Aliouat (univ-Sétif) within the PHC TASSILI DATACAP. 8. Sarra Messai – Mobility management in Wireless Sensor networks, defended on November 24^th 2019. Co-direction with Pr Abdallah Boukerram (University Sétif 1) within the PHC TASSILI DATACAP. 9. Chemseddine Nabti – Subgraph Isomorphism Search in Massive Graph Data, defended on December 15^th 2017. Currently at Adelyce, France. 10. Kamel Madi – Graph-based approach to large scale Kite recognition, defended December 13^th 2016. Co-direction With Pr H. Kheddouci(LIRIS), C.- E. Bichot (LIRIS) and O. Barge(Archéorient) within the KITE project. Currently at Umanis. 11. 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. 12. Besem Abid – Optimizing data collection in wireless sensor networks, defended March 23^rd 2015. Currently at ITRON France. 13. Kaouther Drira – Graph-coloring and clustering, defended on December 14^th 2010. Co-direction with H. Kheddouci. Postdocs - Khadidja Hab el Hames: Funded by ANR COREGRAPHIE (2024). - Abd Errahmane Kiouche: funded by ANR GLADIS (2022- 2023). - Tobias Rupp: funded by ANR COREGRAPHIR (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 - 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).