Univ.-Prof. Dr. Christian Beecks

Christian Beecks Photo: Privat

Email: christian.beecks

Phone: +49 2331 987-2743

Room: 209, Block I, 2nd floor, Building 3

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Short biography

Christian Beecks is head of the chair of Data Science in the Faculty of Mathematics and Computer Science at the FernUniversität in Hagen. He is also head of the research group Intelligent Data Analysis in the Data Science and Artificial Intelligence department at the Fraunhofer Institute for Applied Information Technology FIT. His research interests include machine learning, data mining, knowledge discovery and Big Data, specialising in efficient algorithms and machine learning methods for scalable data analysis in complex data spaces. He has authored more than 100 conference and journal papers and won several awards. He is a reviewer for several international conferences and journals.


10.​2007 - 07.​2013 Ph.D. in Computer Science, RWTH Aachen University, Germany. Ph.D. Thesis: Distance-based Similarity Models for Content-based Multimedia Retrieval.
10.​2001 - 09.​2007 Diploma in Computer Science, RWTH Aaachen University, Germany. Diploma Thesis: Relevance Feedback für EMD-basierte Ähnlichkeitssuche.


since 11.2021 Professor at the FernUniversität Hagen, Germany, Chair of Data Science
since 01.2021 Research Group Leader Intelligent Data Analytics in the Department Data Science and Artificial Intelligence, Fraunhofer Institute for Applied Information Technology FIT, Germany.
04.2018 - 11.2021 Professor of Computer Science, University of Münster, Germany.
04.2017 - 12.2020 Senior Researcher, User-Centered Ubiquitous Computing, Fraunhofer Institute for Applied Information Technology FIT, Germany.
04.2014 - 03.2017 Akademischer Rat, RWTH Aachen University, Germany.
08.2013 - 03 2014 Post-doctoral researcher, RWTH Aachen University, Germany.
10.2007 - 07.2013 Ph.D. student and research assistant, RWTH Aachen University, Germany.


2021 Best Research Paper Award: „Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data“ - SIAM International Conference on Data Mining
2018 Best Poster Award: „Towards digitized gesture analytics. Gaining new insights into gesture and gesture space use through motion-capture technology“ - Warwick Workshop on Gesture & Technology
2015 Best Paper Award: „Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action“ - Göttingen Dialog in Digital Humanities
2011 Best Paper Award: „Ptolemaic Indexing of the Signature Quadratic Form Distance“ - International Conference on Similarity Search and Applications

Research Areas

  • Data Science
  • Data Engineering
  • Big Data
  • Machine Learning
  • Multimedia Databases