Dr. Hamida
Seba Associate
professor HDR, University Lyon 1 |
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Projects |
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Current Projects: -
COREGRAPHIE (ANR PRC 2021-2025), cooperation with
IRIF, LIB and INRIA Paris Compressing Graphs and
Networks for Efficient Computing ( read more …) -
GLADIS (ANR PRCI 2021-2025), cooperation with
SnT/university of Luxembourg. Graph-based Learning and
Analysis for intrusion Detection in Information Systems (read more ...) -
ROMANCE (2023:2024): FIL (Federation Informatique de
Lyon), cooperation with ERIC (Lyon 2) GRaphes de cOnnaissances, juMeAux Numériques et
CybErsécurité. Completed
projects: -
GRAB (IXXX 2021-2022), cooperation with ARCHEORIENT. Sampling-based Massive Graph
Analysis Algorithms: 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. -
GRAM (2019) : PEPS INS2I,
cooperation with IRIF Réduction de GRAphes préservant
leurs propriétés pour le traitement de données Massives Workshop
on graph compression and Compact representations (GCCR2019) -
DATACAP: PHC Tassili (2017-2019) Handling
Massive Data in Pervasive Wireless sensor Networks |
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CAIR(2015-2018) : Contextual Aggregated Information Retrieval CAIR
is an ANR project that aims to handle context aware aggregative queries (read more …) -
SEISME(2015): 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. -
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. -
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. -
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. |