Associate Professor, TU Delft.
Member of the Web Information Systems group.

Before joining TU Delft, I spent a year with the SAP Innovation Center in Berlin, working on scalable architectures for machine learning inference and training. Before SAP, I was a postdoc at the database systems group in TU Berlin, headed by Volker Markl. I received my PhD from INRIA Saclay & Universite Paris-Sud in 2013, supervised by Ioana Manolescu. Prior to that, I was a member of the High Performance Computing systems Lab (HPCL), at the University of Cyprus, working with Marios Dikaiakos.

I work in the broad area of scalable data management; more specifically on data management and analysis, stream processing, systems for scalable AI/ML, and data integration.

PhD Students

Asterios Kαtsifodimos - Αστέριος Κατσιφοδήμος


Office VBM6 4.E.080 (4th floor)
Van Mourik Broekmanweg 6
2628XE Delft
  • June 2022: I was awarded the VIDI grant (800K) from NWO! The funding will allow me to build a transactional actor-like Cloud programming model on top of dataflow systems!
  • June 2022: I was promoted to Associate Professor.
  • October 2021: I have prepared a video for this year’s Flink Forward. I pretty much describe what I am up to in the last couple of years.
  • August 2021: Valentine was presented in this year’s ICDE 2021 and demoed in VLDB 2021.
  • June 2021: We received the best paper award in ACM DEBS 2021, for our work on implementing implementing transactions on Flink’s Statefun.
  • March 2021: Clonos, a fault-tolerance scheme for stream processing will be presented in this year’s SIGMOD 2021.
  • October 2020: We have implemented the schema matching algorithms of the last 20 years and released them on Github in order to create a benchmark. We offer datasets with ground truth too!
  • April 2020: We will present a tutorial on the evolution of stream processing systems during the last two decades, in SIGMOD 2020.
  • March 2020: Christos will be presenting our work on using embeddings for schema matching in the SEAS workshop at EDBT 2020. <!– - June 2019: We are presenting a demo in this year’s VLDB on how to execute stateful functions in the cloud, using streaming dataflows (pdf), as well as a paper on how to optimize ML pipelines using both linear and relational algebra.
  • March 2019: We received the best paper award from EDBT 2019 for our paper “Efficient Window Aggregation with General Stream Slicing”!
  • January 2019: One full-paper and one vision paper at EDBT 2019.
  • December 2018: A poster paper was accepted at ICDE 2019.
  • March 2018: I serve as a local organization chair of SIGMOD 2019 which will be held in Amsterdam in 2019! –>

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