Mathematik und Informatik

Prof. Dr. Christian Beecks, Institut für Informatik

Private Homepagehttps://www.uni-muenster.de/DMA/
CV
04/2018-Professor of Computer Science, University of Münster, Germany.
01/2021-Research Group Leader, Data Science and Artificial Intelligence, Fraunhofer Institute for Applied Information Technology FIT, Deutschland.
04/2017-12/2020Senior Researcher, User-Centered Ubiquitous Computing, Fraunhofer Institute for Applied Information Technology FIT, Germany.
04/2014-03/2017Akademischer Rat, RWTH Aachen University, Germany.
08/2013-03/2014Post-doctoral researcher, RWTH Aachen University, Germany.
10/2007-07/2013Ph.D. student and research assistant, RWTH Aachen University, Germany.
Research InterestsData Science
Data Engineering
Big Data
Machine Learning
Multimedia Databases
Current PublicationsBerns F, Schmidt K, Bracht I, Beecks C 3CS Algorithm for Efficient Gaussian Process Model Retrieval. Proceedings 25th of the International Conference on Pattern Recognition 2020, 2021 online
Berns F, Ramsdorf T, Beecks C Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses. 1st International Workshop on Industrial Machine Learning at 25th International Conference on Pattern Recognition 2020Lecture Notes in Computer Science, 2021 online
Berns F, Beecks C Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 2021 online
Berns F, Beecks C Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 2021 online
Berns F, Beecks C Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning. Proceedings of the 9th International Conference on Data Science, Technology and Applications, 2020 online
Berns F, Beecks C Automatic Gaussian Process Model Retrieval for Big Data. , 2020 online
Berns F, Lange-Hegermann M, Beecks C Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,, 2020, pp 87-92 online
Berns F, Beecks C Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes. Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,, 2020, pp 71-80 online
Sandfort F, Strieth-Kalthoff F, Kühnemund M, Beecks C, Glorius F A Structure-Based Platform for Predicting Chemical Reactivity. ChemRxiv Vol. 2019, 2019 online
E-Mailchristian.beecks@uni-muenster.de
Phone+49 251 83-33804
FAX+49 251 83-33755
Room203
Secretary   Sekretariat Glasmeyer (Informatik)
Frau Dana Glasmeyer
Telefon +49 251 83-38401
Fax +49 251 83-33755
Zimmer 713

AddressProf. Dr. Christian Beecks
Institut für Informatik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
Deutschland
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