Odysseas Papapetrou
Source: https://www.tue.nl/en/research/researchers/odysseas-papapetrou Parent: https://www.tue.nl/en/research/research-groups/data-science/data-and-artificial-intelligence/database-group
Contact
Department / Institute
Mathematics and Computer Science
Group
RESEARCH PROFILE
Odysseas Papapetrou is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He joined TU/e in 2018, after studying and working in Cyprus, Germany, Greece, and Switzerland. He leads the Scalable Online Data Management (SODATA) group, whose research focuses on data-intensive systems. Modern applications—from online services and scientific instruments to smart infrastructure and IoT—generate data at volumes and speeds beyond the capabilities of traditional data management techniques, making timely analysis and decision-making challenging. His group develops methods and systems that enable complex analytics and machine learning to operate in near real time, often within milliseconds, and under strict computational and memory constraints. The group designs approximate algorithms and compact data structures (synopses) to efficiently summarize high-volume data streams and time series, and builds distributed algorithms that scale across hundreds of machines. This work enables applications ranging from sensor-network analytics to efficient and scalable machine-learning training.
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 Fellow. In 2018, Papapetrou joined Eindhoven University of Technology (TU/e) as Assistant Professor.
Recent Publications
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[### A Structured Study of Multivariate Time-Series Distance Measures
Proceedings of the ACM on Management of Data
(2025)
Jens E. d'Hondt,Haojun Li,Fan Yang,Odysseas Papapetrou,John Paparrizos](https://research.tue.nl/nl/publications/710de8b6-7565-4be4-999c-fe6261d383cc) - [### OmniSketch
ACM SIGMOD Record
(2025)
Wieger R. Punter,Odysseas Papapetrou,Minos Garofalakis](https://research.tue.nl/nl/publications/b2157e4e-f91a-4cd3-a8e8-97a93dba0ea5) - [### Synopses for Summarizing Spatial Data Streams
28th International Conference on Extending Database Technology, EDBT 2025
(2024)
Wieger R. Punter,Odysseas Papapetrou,Kevin A.B. Verbeek](https://research.tue.nl/nl/publications/8f9ed7c6-51f0-48c7-941f-870238626135) - [### Multivariate Similarity Search - A Call for a New Breed of Similarity Search Algorithms
40th IEEE International Conference on Data Engineering
(2024)
Odysseas Papapetrou,Jens E. d'Hondt](https://research.tue.nl/nl/publications/e5fe604b-1738-45fc-b345-0ce9f46336bd) - [### Beyond the Dimensions
40th International Conference on Data Engineering Workshops, ICDEW 2024
(2024)
Jens E. d'Hondt,Odysseas Papapetrou,John Paparrizos](https://research.tue.nl/nl/publications/0952beb3-fed1-4965-9708-30d5e050e1f2)
Ancillary Activities
No ancillary activities