Prof. Dr. Michael Gertz

Professor Michael Gertz heads the Data Science Group at the Institute for Computer Science at the Heidelberg University. The research focus of his strongly interdisciplinary group is on methods and applications in the fields of text analysis, data mining, machine learning and analysis of complex networks.

Professional Career

• 2008 – today: Full professor, Database Systems Research Group, Faculty of Mathematics and Computer Science, Heidelberg University
• 2003 – 2008: Associate Professor, Department of Computer Science, University of California at Davis (USA)
• 1997 – 2003: Assistant Professor, Department of Computer Science, University of California at Davis (USA)

Education

• 1996: Ph.D. (Dr. rer. nat), Institute of Computer Science, Leibniz University of Hannover
• 1991 – 1997: Research Associate, Department of Databases and Information Systems, Institute for Computer Science, Leibniz University of Hannover
• 1986 – 1991: Study of Computer Sciences, TU Dortmund University

Research Papers (selection)

• "Dark Patterns in the Interaction with Cookie Banners", Philip Hausner and Prof. Dr. Michael Gertz, published at the "What Can CHI Do About Dark Patterns?" workshop of CHI 2021, accessible via arxiv.org
• Andreas Spitz and Michael Gertz: Entity-centric Topic Extraction and Exploration: A Network-based Approach. In: Proceedings of the 40th European Conference on IR Research (ECIR '18) Grenoble, France, March 26-29. 2018, 3–15
• Andreas Spitz and Michael Gertz: Terms over LOAD: Leveraging Named Entities for Cross-Document Extraction and Summarization of Events. In: Proceedings of the 39th

Contact

E-Mail: gertz[at]informatik.uni-heidelberg[dot]de

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