Prof. Dr. Stefan Kramer
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Stefan Kramer is Professor of Data Mining at Johannes Gutenberg University Mainz and Professor h.c. at the University of Waikato in Hamilton, New Zealand. After graduating in computer science from the Vienna University of Technology and studying philosophy at the University of Vienna, he spent six years at the Austrian Research Institute for Artificial Intelligence (OFAI) and at Siemens AG Austria Program and System Development (PSE) in Vienna. After completing his doctorate at the Vienna University of Technology in 1999 on the topic of “Relational learning vs. propositionalization: Investigations in inductive logic programming and propositional machine learning,” he moved to the University of Freiburg to take up a postdoctoral position at the Chair of Machine Learning and Natural Language Systems under Prof. Luc De Raedt.
After three years, he was appointed professor of bioinformatics at the Faculty of Computer Science at the Technical University of Munich in January 2003, until he moved to the Institute of Computer Science at Johannes Gutenberg University as professor of data mining in 2011. Stefan Kramer has been publishing work on machine learning for 30 years and has been working on its applications in the life sciences for just as long. The results of his research can be found in more than 200 publications. He is one of the pioneers of machine learning and data mining on graph data and is considered the inventor of propositionalization, the change of representation from relational to propositional in machine learning. His current research interests include the role of prior knowledge in machine learning, the discovery of new scientific knowledge through AI, and the question of trust in AI methods and applications, including in biomedical research.
Contact
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Prof. Dr. Stefan Kramer
Johannes Gutenberg University Mainz
Faculty 08: Physics, Mathematics and Computer Science
Research Group Data Mining
Staudingerweg 9
55128 Mainz
06131-3921057
kramer@informatik.uni-mainz.de
Prof. Dr. Stefan Kramer
06131 39 21057, 06131 39 23534
Publications
Special Expertise
Basic Research
- Machine Learning (ML): Representation Learning, Transfer Learning, (Semi) Supervised Learning, Artificial Neural Network (ANN), Decision Tree
- Knowledge-Based Systems
- Technology Analysis: Social and Legal Framework
Application related Research
AI News
AI Research Projects
TOPML: Trading off Non-Functional Properties of Machine Learning
Duration: 01.07.2022 - 30.06.2028, Funding Organization: Carl-Zeiss-Stiftung