• 362 Citations

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

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. 

Fingerprint Dive into the research topics where Odysseas Papapetrou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

  • 362 Citations
  • 21 Conference contribution
  • 11 Article
  • 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. (eds.). OpenProceedings.org, p. 265-276 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 278-285 8 p. 8892241

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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, p. 120-129 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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, p. 482-493 12 p. 8731505

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 1 Citation (Scopus)
    2 Downloads (Pure)

    Monitoring distributed fragmented skylines

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

    Research output: Contribution to journalArticleAcademicpeer-review

  • Courses

    Data engineering



    Datamodelling and databases

    1/09/13 → …


    Press / Media

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

    Odysseas Papapetrou


    1 item of Media coverage

    Press/Media: Expert Comment

    Student theses

    Application-grounded evaluation of predictive model explanation methods

    Author: Lin, C., 24 Sep 2018

    Supervisor: Pechenizkiy, M. (Supervisor 1), van der Zon, S. (Supervisor 2), van Ipenburg, W. (External person) (External coach), Veldsink, J. W. (External person) (External coach) & Papapetrou, O. (Supervisor 2)

    Student thesis: Master


    Euclidean TSP in narrow rectangles

    Author: Alkema, H. Y., 25 Nov 2019

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

    Student thesis: Master


    Toward a serverless data pipeline

    Author: Tran, Q., 30 Sep 2019

    Supervisor: Papapetrou, O. (Supervisor 1) & Ferreira, N. (External person) (External coach)

    Student thesis: Master