Eleni Zapridou

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I am a PhD student at EPFL🇨🇭 working in the Data-Intensive Applications and Systems laboratory with Prof. Anastasia Ailamaki.

My PhD research focuses on designing scalable and resource-efficient stream processing systems. More broadly, my research interests span databases and distributed systems.

Previously I completed research internships at Microsoft Research and EPFL.

news

Feb 26, 2026 Happy to share that two papers from my thesis were accepted at ICDE 2026: “Process Faster, Pay Less: Functional Isolation for Stream Processing” and “Low-Latency Stateful Stream Processing through Timely and Accurate Prefetching”!
Jan 15, 2025 I am happy to give a talk at the CIDR Gong Show titled “Distributed Systems Called: They’re Here to Save AI.”
Oct 22, 2024 Excited to present our VLDB paper “Dalton: Learned Partitioning for Distributed Data Streams” at HDMS and the annual EcoCloud event.
Aug 25, 2023 Had the pleasure to present our work “Dalton: Learned Partitioning for Distributed Data Streams” at Microsoft Research and TU Darmstadt this semester!
Jun 22, 2023 I am excited to start my internship at Microsoft Research’s Data Systems Group, where I will work with Vivek Narasayya, Manoj Syamala, and Yi Shan!

selected publications

  1. Low-Latency Stateful Stream Processing through Timely and Accurate Prefetching
    Eleni Zapridou and Anastasia Ailamaki
    ICDE, May 2026
    PDF
  2. Process Faster, Pay Less: Functional Isolation for Stream Processing
    Eleni Zapridou, Michael Koepf, Panagiotis Sioulas, Ioannis Mytilinis, and Anastasia Ailamaki
    ICDE, May 2026
    PDF
  3. Oligolithic Cross-task Optimizations across Isolated Workloads
    Eleni Zapridou, Panagiotis Sioulas, and Anastasia Ailamaki
    CIDR, Jan 2024
    PDF
  4. Dalton: Learned Partitioning for Distributed Data Streams
    Eleni Zapridou, Ioannis Mytilinis, and Anastasia Ailamaki
    VLDB, Nov 2022
    PDF