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Fabian Berns

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 The person is no longer active at the university.

Curriculum Vitae (CV)

  • Probabilistic Machine Learning, focusing on Gaussian Processes
  • Automated Machine Learning and Model Inference
  • Data Science and Mining, focusing on Time Series Analytics

Academic Education

since 2019Ph.D. in Computer Science, University of Münster, Germany.
10/2016 - 11/2018Master 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 - 09/2016Bachelor 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 01/2019Research Assistant, University of Münster, Germany.
09/2016 - 11/2018Software Developer (Master student), SAP SE, Germany.
09/2013 - 09/2016Dual Student - Software Development and Consulting, SAP SE, Germany.

Publications

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), 10-18. (kein Verlag angegeben). doi:10.1137/1.9781611976700.2
Research article in edited proceedings (conference) | Peer reviewed | Published
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), 360-368. (kein Verlag angegeben). doi:10.1137/1.9781611976700.41
Research article in edited proceedings (conference) | Peer reviewed | Published
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, 650-661. Springer. doi:10.1007/978-3-030-68799-1_47
Research article in edited proceedings (conference) | Peer reviewed | Published
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, 1773-1780. Wiley-IEEE Computer Society Press. doi:10.1109/ICPR48806.2021.9412805
Research article in edited proceedings (conference) | Peer reviewed | Published
Local Gaussian Process Model Inference Classification for Time Series Data
Berns F, Strueber JH, Beecks C (2021)
In:  (eds.), . (kein Verlag angegeben). doi:10.1145/3468791.3468839
Research article in edited proceedings (conference) | Peer reviewed | Published
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Projects

Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop] (knowlEdge)
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

Prizes

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