Dr. Hamida Seba Associate
professor HDR, University Lyon 1 |
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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. Postdocs -
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). |