No current affiliations available for this person. The person is no longer active at the university.

Academic Education
since 2019	Ph.D. in Computer Science, University of Münster, Germany.
10/2016 - 11/2018	Master of Science, Information Systems, University of Duisburg-Essen. Master Thesis: Application of Artifical Neural Networks for Data Preprocessing on Decentral Gateways for Internet of Things Architectures
10/2013 - 09/2016	Bachelor of Science, Information Systems, Baden-Wuerttemberg Cooperative State University. Bachelor Thesis: Comparing Software Architectures for Big Data Storage and Analytics based upon SAP HANA, Apache Hadoop and SAP HANA Vora
Work Experience
since 01/2019	Research Assistant, University of Münster, Germany.
09/2016 - 11/2018	Software Developer (Master student), SAP SE, Germany.
09/2013 - 09/2016	Dual Student - Software Development and Consulting, SAP SE, Germany.

Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes Berns F, Beecks C (2021) In: (eds.), Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). (no publisher available). Type of Publication: Research article in edited proceedings (conference)
Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data Berns F, Beecks C (2021) In: (eds.), Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). (no publisher available). Type of Publication: Research article in edited proceedings (conference)
Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses Berns F, Ramsdorf T, Beecks C (2021) In: (eds.), 1st International Workshop on Industrial Machine Learning at 25th International Conference on Pattern Recognition 2020. Springer. Type of Publication: Research article in edited proceedings (conference)
3CS Algorithm for Efficient Gaussian Process Model Retrieval Berns F, Schmidt K, Bracht I, Beecks C (2021) In: (eds.), Proceedings 25th of the International Conference on Pattern Recognition 2020. Wiley-IEEE Computer Society Press. Type of Publication: Research article in edited proceedings (conference)
Local Gaussian Process Model Inference Classification for Time Series Data Berns F, Strueber JH, Beecks C (2021) In: (eds.), . (no publisher available). Type of Publication: Research article in edited proceedings (conference)

Duration: 01/01/2021 - 31/12/2023

Funded by: EC H2020 - Research and innovation actions

Type of project: EU-project hosted outside University of Münster

Best Research Paper Award: "Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data"
Awarded by: SIAM International Conference on Data Mining
Award given to: Berns, Fabian; Beecks, Christian
Announced at: 30/04/2021 | Date of awarding: 30/04/2021
Type of distinction: Best publication award