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.
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.
- Data engineering
- Data-intensive systems and applications
- Datamodelling and databases
No ancillary activities