Pr. Hamida Seba University Claude Bernard Lyon 1
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International projects: - GLADIS (ANR PRCI 2021-2025), cooperation with SnT/university of Luxembourg. Graph-based Learning and Analysis for intrusion Detection in Information Systems (read more ...) - DATACAP: PHC Tassili (2017-2019)  Handling Massive Data in Pervasive Wireless sensor Networks National projects: - COREGRAPHIE (ANR PRC 2021-2025), cooperation with IRIF, LIB and INRIA Paris Compressing Graphs and Networks for Efficient Computing ( read more …) - GRAM (2019) : CNRS PEPS INS2I, cooperation with IRIF PARIS Réduction de GRAphes préservant leurs propriétés pour le traitement de données Massives Workshop on graph compression and Compact representations (GCCR2019) - CAIR(2015-2018) : Contextual Aggregated Information Retrieval CAIR is an ANR project that aims to handle context aware aggregative queries (read more …) - AOC (2009-2012) The AOC (Appariement d’Objets Complexes) project is a 4 years project starting in September 2009. This project is funded by the the ANR Contint program. It involved five research teams from IRIT, PRISM, LIRIS, IRISA and LIESP. The AOC project aims to study and analyze the structural and computational properties of the graph-based representations used by different communities for various applications (eg, databases, semantic web, information retrieval, multimedia). It uses the abstract mathematical nature of graph operations to provide a unifying framework for handling graphs in the different areas mentioned above (read more…). - SEISME(2015): CNRS PEPS MOMIES with university of Burgundy(France) The aim of this project is to define tools for measuring social interactions dynamics in large social graphs. Industrial projects: - ML-PrePay: 2025-2028. Industrial collaboration with the startup ALBERTURE. Title: Machine Learning Models on Complex Data for Payment Default Prevention - Everblu 2 (2011-2014) The Everblu project is a 3 years project starting in September 2011. This project is collaboration with ITRON France. It aims at developing optimized solutions for data gathering for wireless sensor networks mainly smart metering networks (read more…). Regional and local projects: - IMMERGRAPH (2025-2027): LIRIS funding Immersion in Graphs: Algorithms and mining in Virtual Reality - ROMANCE (2023:2024): FIL (Federation Informatique de Lyon), cooperation with ERIC (Lyon 2) GRaphes de cOnnaissances, juMeAux Numériques et CybErsécurité. - GRAB (IXXX 2021-2022), cooperation with ARCHEORIENT. Sampling-based Massive Graph Analysis Algo (rithms: Application to the Study of Archaeological Remains - CyberSecGraph (FIL 2021-2022), cooperation with ERIC. Graph modeling of log files for attack detections in IoT applications - UrbaGraph (2020:2021): Funded by LIRIS, cooperation between GOAL, BD and GEOMOD LIRIS teams Analysis of urban data: an approach based on graph compression - GRAL (2020-2021) : funded by FIL (Federation Informatique de Lyon), cooperation with CREATIS Large-scale machine learning on graph-type data and application to image processing. - Kite (2012-2015) The Kite project is a 3 years project starting in September 2012. This project is funded by the IMU Labex (Laboratoire d'excellence en Inteligences des mondes urbains). It is a multidisciplinary project that involves both archaeologists from the Archeorient laboratory and computer scientists form the LIRIS laboratory. The Kite project aims at finding automatically archaeological remains - named kites due to their shape - by searching them in satellite images and recognizing them thanks to graph based pattern recognition tools (read more…).