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Short bio


Research focus

My research focuses on data-intensive systems, with a preference for managing unbounded data streams and distributed/scale-out algorithms. I like developing/combining approximate algorithms with hardware accelerators (GPUs, FPGAs) and Big Data platforms.

Selected recent professional services

2020: Member of PVLDB review board (2021); Reviewer for IEEE TPDS, Big Data Research.
2019: PC Member for SIGMOD'19 Demos, ICDE'19 TKDE Posters, ADBIS'19; Reviewer for VLDB Journal, TKDE, Big Data Research.
2018: Evaluator for Research Grants Council (RGC) of Hong Kong. PC Member for CIKM'18, ADBIS'18; Reviewer for TPDS, VLDB Journal, TKDE.
2017: Evaluator for Research Grants Council (RGC) of Hong Kong. PC Member for ICDE Demo Track'18, ADBIS'17; Reviewer for DAPD.


  • Jan 2020: Full paper at EDBT'20: A Parallel and Distributed Approach for Diversified Top-k Best Region Search: Hamid Shahrivari, Matthaios Olma, Odysseas Papapetrou, Dimitrios Skoutas and Anastasia Ailamaki
  • June 2019: Full paper at FPL'19: Data stream statistics over sliding windows: How to summarize 150 Million updates per second on a single node: Grigorios Chrysos, Odysseas Papapetrou, Dionisios Pnevmatikatos, Apostolos Dollas, Minos Garofalakis
  • 20-21 Feb. 2019: SmartDataLake kickoff in Athens. Great team, super-interesting problems.
  • 17 Feb. 2019: Matt's recent work on AQP was accepted as a full paper at ICDE'19.
Contact details Odysseas Papapetrou
Information Systems W&I, Mathematics and Computer Science
Phone: +31 40 247 6087
Address: MetaForum 7.063

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