Dr. Reza Akbarinia

Inria, Zenith team
Lirmm, Campus Saint-Priest, Bâtiment 5
860 rue de St Priest
34392 Montpellier Cedex 5
France

Firstname.Lastname<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) at Inria

HDR (Habilitation à Diriger des Recherches)

Zenith team, Inria Sophia Antipolis - Méditerranée, antenne Montpellier

Lirmm Laboratory, University of Montpellier

Research Interests

  • Large-Scale Data Management and Analytics

  • Parallel Time Series Analysis

  • Big Data Analytics using Parallel Frameworks such as Spark

  • Privacy Preserving Data Management

Summary of Publications

Co-author of 2 books, and more than 60 scientific articles in computer science:

  • List of All Publications

  • Publications on DBLP

  • Selected Recent Publications

    • Chao Zhang, Reza Akbarinia, Farouk Toumani. Efficient Incremental Computation of Aggregations over Sliding Windows. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 2136-2144, 2021.
    • 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) , 32(1), 108-120, 2020.
    • 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

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), 2020.
    • 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.

  • Conference Organization:

List of Publications

Books

Book Chapter

  • R. Akbarinia, V. Martins, E. Pacitti and P. Valduriez. Design and implementation of APPA. Global Data Management (Eds. R. Baldoni, G. Cortese and F. Davide), IOS Press, 2006.

Journal and Conference Articles

  • Chao Zhang, Reza Akbarinia, Farouk Toumani. Efficient Incremental Computation of Aggregations over Sliding Windows. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 2136-2144, 2021.
  • Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez. BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowledge and Information Systems (KAIS), 63(2), 349-378, 2021.
  • 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) , 32(1), 108-120, 2020.
  • 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.
  • Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia. Maximally informative k-itemset mining from massively distributed data streams. In Proc. of 33rd Annual ACM Symposium on Applied Computing (SAC) , 502-509, 2018.
  • Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez. Top-k Query Processing over Distributed Sensitive Data. In Proc. of 22nd International Database Engineering & Applications Symposium (IDEAS) , 208-216, 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. Zitouni, R. Akbarinia, S. Ben Yahia, F. Masseglia. Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach. In Proc. of 29th International Conference on Advanced Information Systems Engineering (CAiSE) , pp. 231-246, 2017.
  • D. Yagoubi, R. Akbarinia, F. Masseglia, D. Shasha. RadiusSketch: Massively Distributed Indexing of Time Series. In Proc. of IEEE International Conference on Data Science and Advanced Analytics (DSAA) , 2017.
  • 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.
  • S. Salah, R. Akbarinia and F. Masseglia. Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments. In Proc. of 26th Int. Conf. on Database and Expert Systems Applications (DEXA), 2015.
  • M. Zitouni, R. Akbarinia, S. Ben Yahia, and F. Masseglia. A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data. In Proc. of 26th Int. Conf. on Database and Expert Systems Applications (DEXA), 2015.
  • R. Akbarinia and F. Masseglia. Aggregation-Aware Compression of Probabilistic Streaming Time Series. In Proc. of Int. Conf. on Machine Learning and Data Mining (MLDM), 2015.
  • S. Salah, R. Akbarinia and F. Masseglia. Optimizing the Data-Process Relationship For Fast Mining of Frequent Itemsets in MapReduce. Int. Conf. on Machine Learning and Data Mining (MLDM), 2015.
  • R. Akbarinia, M. Liroz Gistau, D. Agrawal, P. Valduriez. An Efficient Solution for Processing Skewed MapReduce Jobs. In Proc. of International Conference on Data Management in Cloud, Grid and P2P Systems (Globe) , 2015.
  • M. Servajean, R. Akbarinia, E. Pacitti and S. Amer-Yahia. Profile Diversity for Query Processing using Users' Recommendations. J. Information Systems , 48(1), 44-63, 2015.
  • N. Ayat, R. Akbarinia, H. Afsarmanesh, P. Valduriez. Entity Resolution for Probabilistic Data. J. Information Sciences, 277(1), 492-51, 2014.
  • R. Akbarinia, P. Valduriez, G. Verger. Efficient Evaluation of SUM Queries over Probabilistic Data. Journal of IEEE Transactions on Knowledge and Data Engineering (TKDE) , 25(4), 764-775, 2013.
  • N. Ayat, R. Akbarinia, H. Afsarmanesh, P. Valduriez. Entity resolution for distributed probabilistic data. Journal of Distributed and Parallel Databases (DAPD), 31(4), 509-542, 2013.
  • M. Liroz-Gistau, R. Akbarinia, E. Pacitti, F. Porto, and P. Valduriez. Dynamic workload-based partitioning algorithms for continuously growing databases. Journal of Transactions on Large-Scale Data and Knowledge-Centered Systems, 12(1), 105-128, 2013.
  • W. K. Dedzoe, P. Lamarre, R. Akbarinia, and P. Valduriez. As-Soon-As-Possible Top-k Query Processing in P2P Systems. Journal of Transactions on Large-Scale Data and Knowledge-Centered Systems, 9(1), 1-27, 2013.
  • R. Akbarinia, E. Pacitti, P. Valduriez. Best Position Algorithms for Efficient Top-k Query Processing. J. Information Systems, 36 (6), 973\96989, 2011.
  • R. Akbarinia, M. Tlili, E. Pacitti, P. Valduriez, A. A.B. Lima. Replication in DHTs using Dynamic Groups. Journal of Transactions on Large-Scale Data and Knowledge-Centered Systems, 3(1), 1-19, 2011.
  • M. El Dick, E. Pacitti, R. Akbarinia, B. Kemme. Building a Peer-to-Peer Content Distribution Network with High Performance, Scalability and Robustness. J. Information Systems, 36 (2), 222-247, 2011 .
  • W. Palma, R. Akbarinia, E. Pacitti and P. Valduriez. DHTJoin: Processing Continuous Join Queries Using DHT Networks. Journal of Distributed and Parallel Databases, 26(2-3), 291-317, 2009.
  • M. Tlili,, K. Dedzoe, E. Pacitti, P. Valduriez, R. Akbarinia, P. Molli, G. Canals and S. Lauriere. P2P Logging and Timestamping for Reconciliation. PVLDB 1(2), 1420-1423, 2008.
  • R. Akbarinia and V. Martins. Data management in the APPA system. Journal of Grid Computing, 5(3), 303-317, 2007.
  • R. Akbarinia, E. Pacitti and P. Valduriez. Reducing network traffic in unstructured P2P systems using top-k queries. Journal of Distributed and Parallel Databases, 19(2-3), 67-86, 2006.
  • V. P. Freire, J. A. F. de Macedo, F. Porto, R. Akbarinia. NACluster: A Non-Supervised Clustering Algorithm for Matching Multi Catalogues. IEEE e-Science Workshop , 2014.
  • R. Akbarinia and F. Masseglia. Compression de flux de données probabilistes attentive à l'agrégation. Journées Bases de Données Avancées (BDA) , 2014.
  • R. Akbarinia and F. Masseglia. Fast and Exact Mining of Probabilistic Data Streams. In Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (PKDD), 2013.
  • M. Liroz-Gistau, R. Akbarinia, D. Agrawal, E. Pacitti, and P. Valduriez. Data Partitioning for Minimizing Transferred Data in MapReduce. Int. Conf. on Data Management in Cloud, Grid and P2P Systems (Globe), 2013.
  • M. Liroz-Gistau, R. Akbarinia, D. Agrawal, E. Pacitti, and P. Valduriez. MR-Part : Minimizing Data Transfers Between Mappers and Reducers in MapReduce. Journées Bases de Données Avancées (BDA), 2013.
  • M. Liroz-Gistau, R. Akbarinia, E. Pacitti, F. Porto, P. Valduriez. Dynamic Workload-Based Partitioning for Large-Scale Databases. 23rd Int. Conf. on Database and Expert Systems Applications (DEXA), 2012.
  • N. Ayat, H. Afsarmanesh, R. Akbarinia, P. Valduriez. Uncertain Data Integration Using Functional Dependencies. Int. Conf. On Ontologies, DataBases, and Applications of Semantics (ODBASE), 2012.
  • R. Akbarinia, F. Masseglia. FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams. Journées Bases de Données Avancées (BDA), 2012.
  • N. Ayat, R. Akbarinia, H. Afsarmanesh, P. Valduriez. Entity Resolution for Uncertain Data. Journées Bases de Données Avancées (BDA), 2012.
  • M. Liroz-Gistau, R. Akbarinia, E. Pacitti, F. Porto, P. Valduriez. DynPart: Dynamic Partitioning for Large-Scale Databases. Journées Bases de Données Avancées (BDA), 2012.
  • W. Kokou Dedzoe, P. Lamarre, R. Akbarinia, P. Valduriez. Efficient Early Top-k Query Processing in Overloaded P2P Systems. 22nd Int. Conf. on Database and Expert Systems Applications (DEXA), 140-155, 2011.
  • R. Akbarinia, P. Valduriez, G. Verger. Efficient SUM Query Processing over Uncertain Data. Journées Bases de Données Avancées (BDA), 2011. (selected as one of the best papers)
  • G. Verger, R. Akbarinia, P. Valduriez. ProbDB: Efficient Execution of Aggregate Queries over Probabilistic Data. Journées Bases de Données Avancées (BDA), 2011 (demo paper).
  • W. Kokou Dedzoe, P. Lamarre, R. Akbarinia, P. Valduriez. ASAP Top-k Query Processing in Unstructured P2P Systems. IEEE Int. Conf. on Peer-To-Peer Computing (P2P), 1-10, 2010.
  • R. Akbarinia, M. Tlili, E. Pacitti, P. Valduriez, A. A.B. Lima. Continuous Timestamping for Efficient Replication Management in DHTs. Lecture Notes in Computer Science, Volume 6265, Int. Conf. on Data Management in Grid and P2P Systems (Globe), 38\9649, 2010. (selected as one of the best papers)
  • M. Tlili, R. Akbarinia, E. Pacitti, P. valduriez. Scalable P2P Reconciliation Infrastructure for Collaborative Text Editing. Int. Conf. on Advances in Databases, Knowledge, and Data Applications (DBKDA), IEEE Computer Society, 155-164, 2010.
  • W. Kokou Dedzoe, P. Lamarre, R. Akbarinia, P. Valduriez. Reducing User Waiting Time for Top-k Queries in Unstructured P2P Systems. Journées Bases de Données Avancées (BDA), 2010.
  • M. Tlili, R. Akbarinia, E. Pacitti, P. Valduriez. A Fault-Tolerant Infrastructure for P2P Collaborative Text Edition. Journées Bases de Données Avancées (BDA), 2010.
  • M. Mattoso, E. Pacitti, P. Valduriez, R. Akbarinia, V. Braganholo, A. A.B. Lima. SARAV\C1: data sharing for online communities in P2P. Colloquium of Computation: Brazil / Inria, Cooperations, Advances and Challenges (COLIBRI), 2009. (best paper award).
  • W. Palma, R. Akbarinia, E. Pacitti, P. Valduriez. P2P Join Query Processing over Data Streams. Journées Bases de Données Avancées (BDA), 2009.
  • W. Palma, R. Akbarinia, E. Pacitti, P. Valduriez. DHTJoin: Processing Continous Join Queries using DHT Networks. Int. Workshop on Data Management in Peer-to-Peer Systems (DaMaP), 2009.
  • W. Palma, R. Akbarinia, E. Pacitti and P. Valduriez. Efficient Processing of Continuous Join Queries using Distributed Hash Tables. Lecture Notes in Computer Science, Volume 5168, European Conf. on Parallel Computing (Euro-Par), 2008.
  • M. Tlili, W. K. Dedzoe, E. Pacitti, P. Valduriez, R. Akbarinia et al. Data Reconciliation in P2P Collaborative Applications. Journées Bases de Données Avancées (BDA), 2008 (demo paper).
  • M. Tlili, W. Kokou Dedzoe, E. Pacitti, P. Valduriez, R. Akbarinia, P. Molli, G. Canals, J. Maire, G. Oster, L. Dubost, S. Dumitriu, S. Lauri\E8re, F. Mancinelli. XWiki concerto: a P2P wiki for nomadic workers. Int. Symposium on Wikis, 2008.
  • R. Akbarinia, E. Pacitti and P. Valduriez. Data currency in replicated DHTs. ACM Int. Conf. on Management of Data (SIGMOD), 211-222, 2007.
  • R. Akbarinia, E. Pacitti and P. Valduriez. Best position algorithms for top-k queries. Int. Conf. on Very Large Databases (VLDB), 495-506, 2007.
  • R. Akbarinia, E. Pacitti and P. Valduriez. Processing top-k queries in distributed hash tables. Lecture Notes in Computer Science, Volume 4641, 489-502, European Conf. on Parallel Computing (Euro-Par), 2007.
  • V. Martins, R. Akbarinia, E. Pacitti and P. Valduriez. Reconciliation in the APPA P2P system. IEEE Int. Conf. on Parallel and Distributed Systems (ICPADS), 401-410, 2006.
  • R. Akbarinia, V. Martins, E. Pacitti and P. Valduriez. Top-k query processing in the APPA P2P system. Lecture Notes in Computer Science, Volume 4395, 158-171, Int. Conf. on High Performance Computing for Computational Science (VecPar), 2006.
  • R. Akbarinia, E. Pacitti and P. Valduriez. Supporting data currency in replicated DHTs using a key-based timestamping service. Journees Bases de Donnees Avancees (BDA), 2007.
  • R. Akbarinia, E. Pacitti and P. Valduriez. An efficient mechanism for processing top-k queries in DHTs. Journees Bases de Donnees Avancees (BDA), 2006.
  • R. Akbarinia and V. Martins. Data management in the APPA P2P system. Int. Workshop on High-Performance Data Management in Grid Environments (HPDGrid), 2006.
  • R. Akbarinia, V. Martins, E. Pacitti and P. Valduriez. Replication and query processing in the APPA data management system. Int. Workshop on Distributed Data & Structures (WDAS), 19-33, 2004.

Technical Report

  • R. Akbarinia, P. Valduriez, G. Verger. SUM Query Processing over Probabilistic Data. Research Report N\B0 7629, Inria, France, 2011.
  • S. Mahboubi, R. Akbarinia, and P. Valduriez. Top-k Query Processing Over Outsourced Encrypted Data. Research Report RR-9053, Inria, 2017.
  • R. Akbarinia, I. F. Ilyas, M. T. Özsu and P. Valduriez. JTop Algorithms for Top-k Join Queries. Technical Report CS-2008-03, University of Waterloo, Cheriton School of Computer Science, 2008.
  • Q. Wang, R. Akbarinia, T. Ozsu. Efficient Index-based Processing of Join Queries in DHTs. Technical Report CS-2008-15, University of Waterloo, Cheriton School of Computer Science, 2008.
  • M. Tlili, W. Kokou Dedzoe, E. Pacitti, R. Akbarinia and P. Valduriez. P2P Logging and Timestamping for Reconciliation. Research Report N 6497, Inria, France, 2008.
  • R. Akbarinia, E. Pacitti and P. Valduriez. Query processing in P2P systems. Research Report N 6112, Inria, France, 2007.

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