George Siachamis

I am a PhD Candidate at the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science at Delft University of Technology. I am also part of AI for Fintech Research, a collaboration between TU Delft and ING. I am supervised by Asterios Katsifodimos. My research is focused on adaptive stream processing, and specifically adaptive similarity joins over data streams, autoscaling and live state migration, while I have also worked on data discovery.

Before pursuing a PhD, I did my research internship at CY Cergy Paris University under the supervision of Katerina Tzompanaki. Prior to that, I obtained my 5-year Diploma in Electrical and Computer Engineering from National Technical University of Athens.

• PhD Candidate, Web Information Systems Group, Department of Software Technology,
  Faculty of Electrical Engineering, Mathematics and Computer Science, TU Delft

• Integrated Master of Engineering (M.Eng), Faculty of Electrical and Computer Engineering,
  National Technical University of Athens (NTUA)

• Evaluating Stream Processing Autoscalers

  George Siachamis, George Christodoulou, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Asterios Katsifodimos
  In the Proceedings of the 18th International Conference in Distributed and Event-based Systems (DEBS) 2024. [Preprint]

• CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows

  George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Paris Carbone, Asterios Katsifodimos
  In the Proceedings of the 40th International Conference in Data Engineering (ICDE) 2024. [Preprint]

• Adaptive Distirbuted Streaming Similarity Joins

  George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Odysseas Papapetrou, Arie van Deursen, Asterios Katsifodimos
  In the Proceedings of the 17th International Conference in Distributed and Event-based Systems (DEBS) 2023. [Link]

• Towards Evaluating Stream Processing Autoscalers

  George Siachamis, Job Kanis, Wybe Koper, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Asterios Katsifodimos
  In the Self-Managing Database System (SMDB) Workshop of the 2023 IEEE International Conference on Data Engineering (ICDE).

• Valentine: Evaluating matching techniques for dataset discovery

  Christos Koutras, George Siachamis, Andra Ionescu, Kyriakos Psarakis, Jerry Brons,
  Marios Fragkoulis, Christoph Lofi, Angela Bonifati, Asterios Katsifodimos
  In the Proceedings of the 2021 IEEE International Conference on Data Engineering (ICDE).

• Valentine in action: matching tabular data at scale

  Christos Koutras & Kyriakos Psarakis , George Siachamis, Andra Ionescu,
  Marios Fragkoulis, Angela Bonifati, Asterios Katsifodimos.
  In the Proceedings of the 47th International Conference on Very Large Data Bases (VLDB) 2021 (Demo track).

• Integrating Massive Data Streams

  George Siachamis
  In Proceedings of the VLDB 2021 PhD Workshop, August 16th, 2021.