• 362 Citaties
20032020

Research output per year

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Persoonlijk profiel

Research profile

Odysseas Papapetrou is Assistant Professor in the Information Systems group in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He is an experienced Big Data researcher, with expertise in real-time processing of streaming data and a specialty in approximation algorithms for distributed Big Data management, distributed data streams processing and sketching/summarization techniques. Papapetrou also focuses on aspects of cloud computing such as cloud federations, cloud-based stream processing and privacy-preserving query execution. 

Papapetrou frequently serves as a PC member and reviewer for data management conferences and journals, such as TKDE and VLDB Journal. He is also a regular grants evaluator for the Hong Kong Research Grants Council (RCG), and an occasional evaluator for other funding schemes. 

Academic background

Odysseas Papapetrou got his BSc in Computer Science and an MSc in Advanced Information Technologies from the University of Cyprus. He then went on to do an MSc in Computer Science at the University of Saarland and Max Planck Institute (2005) and a PhD in Computer Science at the University of Hannover and L3S Research Center (2011). Then he started working as a researcher at SoftNet Lab, Technical University of Crete (2011-2015), and as an adjunct lecturer at the Open University of Cyprus (2012-2013)In 2016, Papapetrou moved to EPFL, Switzerland, where he worked as a Research and Teaching Associate, and later as an EPFL Marie Skłodowska-Curie FellowIn 2018, Papapetrou joined Eindhoven University of Technology (TU/e) as Assistant Professor. 

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Odysseas Papapetrou actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

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Onderzoeksoutput

  • 362 Citaties
  • 21 Conferentiebijdrage
  • 11 Tijdschriftartikel
  • 3 Paper

A parallel and distributed approach for diversified top-k best region search

Shahrivari, H., Olma, M., Papapetrou, O., Skoutas, D. & Ailamaki, A., 1 jan 2020, Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings. Bonifati, A., Zhou, Y., Vaz Salles, M. A., Bohm, A., Olteanu, D., Fletcher, G., Khan, A. & Yang, B. (redactie). OpenProceedings.org, blz. 265-276 12 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Data stream statistics over sliding windows: how to summarize 150 million updates per second on a single node

    Chrysos, G., Papapetrou, O., Pnevmatikatos, D., Dollas, A. & Garofalakis, M., sep 2019, Proceedings - 29th International Conference on Field-Programmable Logic and Applications, FPL 2019. Sourdis, I., Bouganis, C-S., Alvarez, C., Toledo Diaz, L. A., Valero, P. & Martorell, X. (redactie). Piscataway: Institute of Electrical and Electronics Engineers, blz. 278-285 8 blz. 8892241

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Scalable temporal clique enumeration

    Zhu, K., Fletcher, G., Yakovets, N., Papapetrou, O. & Wu, Y., 19 aug 2019, Proceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019. New York: Association for Computing Machinery, Inc, blz. 120-129 10 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 2 Downloads (Pure)

    Taster: self-tuning, elastic and online approximate query processing

    Olma, M., Papapetrou, O., Appuswamy, R. & Ailamaki, A., 1 apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. Piscataway: IEEE Computer Society, blz. 482-493 12 blz. 8731505

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 1 Citaat (Scopus)
    2 Downloads (Pure)

    Monitoring distributed fragmented skylines

    Papapetrou, O. & Garofalakis, M., 1 dec 2018, In : Distributed and Parallel Databases. 36, 4, blz. 675-715 41 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • Cursussen

    Data engineering

    1/09/1831/08/21

    Cursus

    Datamodelling and databases

    1/09/13 → …

    Cursus

    Knipsels

    5th international workshop on cloud data and platforms (CLOUDDP 2015)

    Odysseas Papapetrou

    15/12/14

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Scriptie

    Application-grounded evaluation of predictive model explanation methods

    Auteur: Lin, C., 24 sep 2018

    Begeleider: Pechenizkiy, M. (Afstudeerdocent 1), van der Zon, S. (Afstudeerdocent 2), van Ipenburg, W. (Externe persoon) (Externe coach), Veldsink, J. W. (Externe persoon) (Externe coach) & Papapetrou, O. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    Euclidean TSP in narrow rectangles

    Auteur: Alkema, H. Y., 25 nov 2019

    Begeleider: de Berg, M. T. (Afstudeerdocent 1), Nederlof, J. (Afstudeerdocent 2), Papapetrou, O. (Afstudeerdocent 2) & van der Hofstad, R. W. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    Toward a serverless data pipeline

    Auteur: Tran, Q., 30 sep 2019

    Begeleider: Papapetrou, O. (Afstudeerdocent 1) & Ferreira, N. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand