Zoi Kaoudi

Zoi Kaoudi is a researcher at the IT University of Copenhagen, specializing in Data Management, Knowledge Graphs, and Machine Learning. Her work focuses on cross-platform data processing, query optimization, and scalable systems for graph analytics.

She has published extensively in venues like SIGMOD, VLDB, and ISWC, with recent contributions to Apache Wayang, DORIAN, and Space-Efficient Graph Algorithms. Her research bridges theoretical advancements with practical frameworks for data science pipelines.

Collaborations include Volker Markl, Jorge-Arnulfo Quiané-Ruiz, and Ioana Manolescu. She has explored topics such as Parameter Servers, Knowledge Graph Embeddings, and RDF Data Management in the cloud. Her work emphasizes open science and system integration.