Katja Hose
Katja Hose
Contact
• since 2023: Professor of Data Management at TU Wien
• since 2018: Professor (Poul Due Jensen Foundation) at Aalborg University
• 2015 - 2018: Associate Professor at Aalborg University
• 2012 - 2015: Assistant Professor at Aalborg University
• 2009 - 2012: Postdoc at Max Planck Institute for Informatics
• 2009: PhD in Computer Science at Ilmenau University of Technology
Short Biography
Professional Activities (selected)
program
committees (selected)
VLDB 2025/2024/2023/2022/2021/2020/2019/2018/ 2017/ 2015/2014/2013, SIGMOD 2024/2023/2022/2019/ 2017/2016, TheWebConf 2025/2024/2023/2022/2021/ 2020/2019/2018, EDBT 2025/2024/2022/2021/2020/ 2019/2018/2017/2016/2015, ISWC 2021/2020/2019/ 2018/2017/2016/2010, ESWC 2022/2020/2019/2018/ 2017/2016/2015/2013/2012, ICDE 2018/2016
journal reviewer
chairs and organization
Programme Co-Chair ISWC 2024, EDBT 2023, ESWC 2021, Resources Track Co-Chair ESWC 2025, Demos Co-Chair SIGMOD 2024 & 2021, VLDB 2020 PhD Workshop Co-Chair, ESWC 2020 Workshop & Tutorials Co-Chair, Co-Organizer DOLAP 2020, SIGMOD 2018 & 2019 New Researcher Symposium Co-Chair, ICDE 2018 & 2019 Publicity Chair, ESWC 2019 Challenges Co-Chair, EDBT 2018 Proceedings Chair, ESWC 2017 Posters & Demos Co-Chair
A word cloud generated from a list of my publications using Wordle.
Tag cloud
current
ARMADA, TARGET, ARISTOTELES, DarkScience, DEDS, RelWeb
past
editorial boards
I am a full professor at TU Wien's DBAI research unit, heading the Data Management and Knowledge-Driven AI Lab. Prior to joining TU Wien, I have been a full professor at Aalborg University, a postdoc at the Max Planck Institute for Informatics in Saarbrücken, and received my PhD in Computer Science from Ilmenau University of Technology.
My research is rooted in data and knowledge engineering and spans theory, algorithms, and applications of Data Science including graph data management, knowledge graphs, querying, analytics, and machine learning. In the past couple of years, I have gained extensive experience in interdisciplinary data science in collaborations with colleagues from bioscience, health, and environmental assessment.
PROJECTS
NEWS
TU Wien
Databases and Artificial Intelligence
Favoritenstraße 9
A-1040 Wien
Austria
Office: HC0315
Email: katja [dot] hose [at] tuwien [dot] ac [dot] at
Phone: +43 1 58801 192221
The latest news from the DMKI lab are posted here.