Dr. Reza Akbarinia

INRIA
Campus Saint-Priest - Bâtiment 5
860 rue de St Priest
34392 Montpellier Cedex 5
France

reza.akbarinia<at>inria.fr
Tel : +33 4 67 14 97 83
Fax : +33 4 67 41 85 00

Dr. Reza Akbarinia

Research Scientist (Chargé de Recherche 1ère classe):

INRIA Sophia Antipolis - Méditerranée research center

Zenith team

Lirmm Laboratory

University of Montpellier

Contact

LIRMM, Campus Saint-Priest, Bâtiment 5, Université de Montpellier,
860 rue de St Priest
34392 Montpellier Cedex 5, France
Email : FirstName.LastName<at>inria.fr

Research Interests

  • Parallel And Distributed Data Management

  • Parallel Data Mining

  • Large-Scale Time Series Analysis

  • Privacy Preserving Data Management and Analysis

  • Top-k Query Processing

Publications

Dr. Reza Akbarinia is co-author of 2 books, and more than 60 scientific articles in computer science.
  • List of All Publications

  • Publications on DBLP

  • Selection of Recent Publications

    • Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, and Themis Palpanas. Massively distributed time series indexing and querying. In IEEE Transactions on Knowledge and Data Engineering (TKDE) , 2019.
    • Cetin Sahin, Tristan Allard, Reza Akbarinia, Amr El Abbadi, Esther Pacitti. A Differentially Private Index for Range Query Processing in Clouds. In Proc. of IEEE International Conference on Data Engineering (ICDE), 2018.
    • Sakina Mahboubi, Reza Akbarinia and Patrick Valduriez. Privacy-Preserving Top-k Query Processing in Distributed Systems. In Proc. of 24th International European Conference on Parallel Processing (Euro-Par) , 2018.
    • D. Yagoubi, R. Akbarinia, F. Masseglia, T. Palpanas. DPiSAX: Massively Distributed Partitioned iSAX. In Proc. of IEEE International Conference on Data Mining (ICDM) , 2017.
    • S. Salah, R. Akbarinia, F. Masseglia. Data placement in massively distributed environments for fast parallel mining of frequent itemsets. Knowledge and Information Systems (KAIS) , 53(1), 207-237, 2017.
    • S. Salah, R. Akbarinia, F. Masseglia. A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset Mining. Knowledge and Information Systems (KAIS) , 50 (1), 1-26, 2017.
    • M. Liroz-Gistau, R. Akbarinia, D. Agrawal, P. Valduriez. FP-Hadoop: Efficient processing of skewed MapReduce jobs. Information Systems , 60 (1), 69-84, 2016.
    • M. Liroz Gistau, R. Akbarinia, P. Valduriez. FPHadoop: Efficient Execution of Parallel Jobs Over Skewed Data. Proceedings of the VLDB Endowment (PVLDB) , 8(12):1856-1867, 2015.
    • S. Salah, R. Akbarinia, F. Masseglia. Fast parallel mining of maximally informative k-itemsets in big data. In Proc. of IEEE Int. Conf. on Data Mining (ICDM) , 2015.

PhD Students

  • Sakina MAHBOUBI , PhD thesis: Privacy Preserving Top-k Query Processing over Outsourced Data. November 2018, University of Montpellier.
  • Mehdi Zitouni , PhD thesis: Parallel Itemset Mining in Massively Distributed Environments. December 2018, University of Montpellier.
  • Djamel Edine YAGOUBI , PhD thesis: Massive distribution for indexing and mining time series. March 2018, University of Montpellier.
  • Saber SALAH , PhD thesis: Parallel Itemset Mining in Massively Distributed Environments. April 2016, University of Montpellier II.
  • Naser Ayat , PhD thesis: Entity Resolution in Probabilistic Data. September 2014, University of Amsterdam, Netherlands.
  • Miguel Liroz-Gistau , PhD thesis: Data Partitioning in Parallel Data Management Systems. December 2013, Université de Montpellier II.
  • Mounir TLILI , PhD thesis: P2P Infrastructure for Data Replication and Reconciliation. June 2011, University of Nantes.

Selected Scientific Services

  • Journal Editorial Board Member:

    • Journal of Transactions on Large Scale Data and Knowledge Centered Systems, since 2011.
  • Program Committee Member:

    • International Conference on Very Large Data Bases (VLDB), 2018.
    • ACM International Conference on Management of Data (SIGMOD), 2016.
    • IEEE International Conference on Data Engineering (ICDE), 2016.
    • ACM International Conference on Management of Data (SIGMOD), 2015.
    • ACM International Conference on Management of Data (SIGMOD), 2014.
    • International Conference on Extending Database Technology (EDBT), 2014.
    • Brazilian Symposium on Databases (SBBD), 2013.
    • International Conference on High Performance Computing for Computational Science (VecPar), 2012.
    • International Workshop on MapReduce and its Applications (MAPREDUCE), 2012.
    • Bases de Données Avancées (BDA), 2012.
    • IEEE International Conference on Data Engineering (ICDE), 2011.
    • International workshop on New Trends in Similarity Search (NTSS), in conjunction with EDBT, 2011.
    • Bases de Données Avancées (BDA), 2011.
    • International Conference on High Performance Computing for Computational Science (VecPar), 2010.
    • Bases de Données Avancées (BDA), 2010.
    • International Conference on Distributed Computing Systems (ICDCS), 2009.
    • International ACM Conference on Information and Knowledge Management (CIKM), 2008.
    • International Workshop on High-Performance Data Management in Grid Environments (HPDGrid), 2008.

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