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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.

Military electronic countermeasures Engineering & Materials Science
Information management Engineering & Materials Science
Scalability Engineering & Materials Science
Monitoring Engineering & Materials Science
Streaming Mathematics
Statistics Engineering & Materials Science
Cryptography Engineering & Materials Science
Query processing Engineering & Materials Science

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Research Output 2003 2019

  • 358 Citations
  • 20 Conference contribution
  • 11 Article
  • 3 Paper

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

Reconfigurable architectures
Information management
2 Downloads (Pure)

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

Smart city
1 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

Query processing

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

Parallel algorithms
2 Citations (Scopus)

Practical private range search in depth

Demertzis, I., Papadopoulos, S., Papapetrou, O., Deligiannakis, A., Garofalakis, M. & Papamanthou, C., 1 Apr 2018, In : ACM Transactions on Database Systems. 43, 1, 52 p., 2.

Research output: Contribution to journalArticleAcademicpeer-review

Coating techniques
Information management


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