Kiel Marine Science

Prof. Dr. Peer Kröger

Hermann-Rodewald-Straße 3, 24118 Kiel
Phone: +49 431 880-7291
pkr@informatik.uni-kiel.de

Personal Website

Information about Prof. Dr. Peer Kröger

Portrait

Peer Kröger studied computer science at Ludwig-Maximilians-Universität (LMU) Munich, where he received his doctorate in computer science in 2004. After research stays in Canada (University of Alberta, Edmonton) and Australia (Melbourne University), he completed his habilitation at LMU Munich in 2009. From 2015 to 2020 he was apl. professor and director of the Data Science Lab at LMU Munich. Since 2020, he is professor and head of the Information Systems and Data Mining group at the Institute of Computer Science at Kiel University (CAU). Peer Kröger is currently also a visiting scientist at the Munich Center for Machine Learning (MCML), which is one of the federally funded AI competence centers. He strengthens Kiel Marine Science (KMS) as a full member.

Research questions

Peer Kröger's research focuses on the analysis of data using machine learning and data mining techniques. In interdisciplinary data science projects, new methods for extracting patterns in data are explored, in particular:

  • Detection of complex correlations in multidimensional (multivariate) data by unsupervised learning methods (clustering, anomaly detection)
  • Data mining under specific constrained conditions and environments (privacy constraints, resource-limited HW, etc.)
  • Data mining in temporal, spatial and spatio-temporal data
  • Explainable/interpretable learning
  • Learning in combination with expert knowledge
Current Research

KMS on campus

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