TU Wien Informatics

Katja Hose recieves Distinguished Associate Editor Award!

  • 2025-09-02
  • Excellence

We’re delighted to announce that Katja Hose has received a Distinguished Associate Editor Award at the International Conference on Very Large Data Bases 2025!

Katja Hose
Katja Hose
Picture: Theresa Aichinger-Fankhauser / TU Wien Informatics

We’re delighted to announce that Katja Hose has received the Distinguished Associate Editor Award at the International Conference on Very Large Data Bases 2025!

The International Conference on Very Large Data Bases (VLDB) 2025, is one of the premier international conferences in data management, bringing together researchers, system developers, and practitioners to discuss advances in database technology. It covers a spectrum of research topics related to all aspects of data management, where systems issues play a significant role. It covers data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory.

Congratulations Katja!

About Katja Hose

Katja Hose is Professor at TU Wien Informatics, where she leads the Data Management and Knowledge-Driven AI Lab at the Research Unit Databases and Artificial Intelligence. She had prior positions at Aalborg University, the Max Planck Institute for Informatics, and received her PhD from Ilmenau University of Technology.

Her research is rooted in data management and knowledge engineering, with a particular focus on graph data management, knowledge graphs, data integration, and applied machine learning.

She has co-authored more than 150 peer-reviewed publications and serves on the editorial boards of leading journals such as the VLDB Journal, the Semantic Web Journal (SWJ), and Transactions on Graph Data and Knowledge (TGDK). In addition, she contributes to the international research community in various organizational and program committee roles at flagship conferences including VLDB, SIGMOD, EDBT, ISWC, ESWC, and TheWebConf.

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