I am an Associate Professor (Maître de conférences) of Computer Science at TELECOM Nancy at the University of Lorraine. I am member of Capsid research team (Inria – CNRS) at the Lorraine Laboratory of Research in Computer Science and its Applications (LORIA). Previously, I worked as a postdoctoral researcher at Aalto University in Finland and as a research fellow at the University of Trento in Italy. I received my Ph.D. in Computer Science from the Blaise Pascal University, France in 2013. My research interests include Big Data Management and Analytics, Data Mining, machine learning and Bioinformatics.
New!! Our paper « A Comparative Study on Streaming Frameworks for Big Data » has been accepted for publication at LaDAS@VLDB 2018 in Rio De Janeiro !
New!! Our paper « An Experimental Survey on Big Data Frameworks » has been accepted for publication in Future Generation Computer Systems, Elsevier !
New!! I’m co-chairing the second edition of the International workshop on Advances in Mining Large-Scale Time Dependent Graphs (TD-LSG) in conjunction with VLDB 2018
Our paper « Improving Memory Based User Collaborative Filtering with Evolutionary Multi-Objective Optimization » has been accepted for publication in Expert Systems with Applications, Elsevier 2018 !
I gave a talk on « Dynamic Graph Analysis with BLADYG » at « the GDRI workshop on Web Science » in Rio De Janeiro.
Our paper « An Experimental Survey on Big Data Frameworks » has been accepted at the 10th Extremely Large Databases Conference (XLDB) 2017 for a lightning talk.
Our paper « A Distributed Framework for Large-Scale Time-Dependent Graph Analysis » has been accepted at TDLSTG@ECML-PKDD 2017.
Our paper « Neighborhood-Based Label Propagation in Large Protein Graphs » has been accepted at Function SIG@ISMB-ECCB, 2017.
Our paper « Automatic Generation of Functional Annotation Rules Using Inferred GO-Domain Associations » has been accepted at Function SIG@ISMB-ECCB, 2017.
Our paper « BLADYG: A Graph Processing Framework for Large Dynamic Graphs » has been accepted for publication in Big Data Research, Elsevier!
Our paper « MR-SimLab: Scalable Subgraph Selection with Label Similarity for Big Data » has been accepted for publication in Information Systems, Elsevier!
My IEEE MOOC on « Big Data for Smart Cities » is out !
- Institution: IEEEx
- Instructors: Dr. Sabeur Aridhi and Pr. Yannis Velegrakis
- Length: 4 weeks
My Book on Big Data is out !
Title: Bases de données NoSQL et Big Data : Concevoir des bases de données pour le Big Data.
Editeur : Ellipses, ISBN : 2340002613, Décembre 2014.