Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.

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 Duik in de onderzoeksthema's waar Odysseas Papapetrou actief is. Deze onderwerplabels komen voort uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

Military electronic countermeasures Engineering en materiaalwetenschappen
Information management Engineering en materiaalwetenschappen
Scalability Engineering en materiaalwetenschappen
Monitoring Engineering en materiaalwetenschappen
Streaming Rekenkunde
Statistics Engineering en materiaalwetenschappen
Cryptography Engineering en materiaalwetenschappen
Query processing Engineering en materiaalwetenschappen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Onderzoeksoutput 2003 2019

  • 355 Citaten
  • 20 Conferentiebijdrage
  • 11 Tijdschriftartikel
  • 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. (redactie). Piscataway: Institute of Electrical and Electronics Engineers, blz. 278-285 8 blz. 8892241

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

sliding
Statistics
statistics
Reconfigurable architectures
Information management
1 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, blz. 120-129 10 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer 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, blz. 482-493 12 blz. 8731505

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Query processing
Tuning
Engines
Costs

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

Monitoring
Communication
Parallel algorithms
Decomposition
Costs
2 Citaties (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 blz., 2.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Cryptography
Servers
Coating techniques
Bibliographies
Information management

Cursussen

Data engineering

1/09/18 → …

Cursus

Datamodelling and databases

1/09/13 → …

Cursus

Pers/media

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