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.

Military electronic countermeasures Engineering & Materials Science
Scalability Engineering & Materials Science
Monitoring Engineering & Materials Science
Information management Engineering & Materials Science
Streaming Mathematics
Cryptography Engineering & Materials Science
Query processing Engineering & Materials Science
Peer to peer networks Engineering & Materials Science

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

Research Output 2003 2019

  • 353 Citations
  • 19 Conference contribution
  • 11 Article
  • 3 Paper

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

Telecommunication
Smart city

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
Tuning
Engines
Costs

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

Monitoring
Communication
Parallel algorithms
Decomposition
Costs
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

Cryptography
Servers
Coating techniques
Bibliographies
Information management
41 Citations (Scopus)

Practical private range search revisited

Demertzis, I., Papadopoulos, S., Papapetrou, O., Deligiannakis, A. & Garofalakis, M., 26 Jun 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. New York: Association for Computing Machinery, Inc, p. 185-198 14 p.

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

Cryptography
Servers
Coating techniques
Information management

Courses

Data engineering

1/09/18 → …

Course

Datamodelling and databases

1/09/13 → …

Course

Press / Media

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

Odysseas Papapetrou

15/12/14

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

File

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

File

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

File