Research

Research Area

My research area include (but are not limited to): big data management and analytics, large-scale and distributed learning, distributed analysis of large and dynamic graphs, data partitioning as well as applications to bioinformatics.

canvas

Projects

  • French-Brazilian CNRS-INRIA-CONFAP research project (2016-2018)
  • French-Tunisian CNRS-DGRST PICS program (2011-2013)
  • Auvergne-FEDER project LifeGRID (2009-2011)

Seminars

  • Cost models for distributed pattern mining in the cloud [Access online]
    • Date: 2014-02-11, Time: 14:30-16:30
    • Location: Povo1, Ofek room, DISI department, University of Trento, Italy
    • Event: DBTrento group meeting
  • Distributed Graph Mining in the Cloud
    • Date: 2014-10-08, Time: 11:00-13:00
    • Location: Povo2, Levico room, DISI department, University of Trento, Italy
    • Event: DBTrento group meeting
  • Mining Large Datasets: Case of Mining Graph Data in the Cloud [Access online]
    • Date: 2014-05-16, Time: 10:00-12:00
    • Location: LIRIS, Claude Bernard Lyon 1 University, France
    • Event: Big Data Forum 2014

Reviewer

  • Reviewing committees
    • Journals: Pattern Recognition Letters; Knowledge and Information Systems (KAIS); Information Systems
    • Conferences and Workshops: EDBT 2015; KDIR 2015; BDMA 2014; ICPR 2014; EDA 2013; EDA 2014
  • PC member

    • International ESWC 2015 Workshop: Surfacing the Deep and the Social Web (SDSW) 2015
    • International Conference on Computer Science and its Applications (CIIA) 2015 – Computational intelligence track

Students

  • Master
    • Zied Hermi, 2015/2016, co-advising with Haithem Mezni: Frequent subgraph mining in large single graphs.
    • Chayma Sakouhi, 2014/2015, co-advising with Alberto Montresor and Salma Sassi: Edge-based graph partitioning of large dynamic graphs.
    • Cyrine Arouri, 2013/2014, co-advising with Engelbert Mephu Nguifo, Cécile Roucelle and Gaelle Bonnet: Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction.