About

• Since April 2020 Researcher at ScaDS.AI
• Development Engineer at Intelligent Driving Functions Department, IAV GmbH, 2019 - 2020
• M.Sc. Mathematics-Computational Engineering, Berliner Hochschule für Technik, March 2019
• B.Sc. Applied and Computational Mathematics, Berliner Hochschule für Technik, March 2017

Contact

E-Mail: uhrich at informatik.uni-leipzig.de

Office: ScaDS.AI 3.25

Phone: ++49 341 97-39321

Research Interests

• Data-driven modelling
• Physics-informed machine learning
• Graph neural networks
• Partial differential equations
• Intelligent analysis and visualization

Publications

Uhrich, B.; Hlubek, N.; Häntschel, T. Rahm, E. Using Differential Equation Inspired Machine Learning for Valve Faults Prediction 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) 2023-08-22

Schäfer, M.; Theile, O.; Uhrich, B.; Bauer, M; Augenstein, C.; Kimme, T.; Ernst, D.; Sonntag, F.; Schöps, P.; Ahnert, C. Transformation komplexer Produktentstehungsprozesse in wissensbasierte Services für die generative Fertigung Innovationen für datenbasierte Wertschöpfung - Mit internetbasierten Dienstleistungen die Zukunft der Wirtschaft gestalten 2023-06

Bauer, M*; Uhrich, B*; Schäfer, M.; Theile, O.; Augenstein, C.; Rahm, E.; *primary authors Multi-Modal Artificial Intelligence in Additive Manufacturing Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS 2023-05

Uhrich, B.; Lange, S.; Carnot, L., M.; Schäfer, M. Predictive Manufacturing Indutrie 4.0 Management 2023-01

Uhrich, B.; Schäfer, M.; Theile, O.; Rahm, E. Using Physics-Informed Machine Learning to Optimize 3D Printing Processes Proceedings of the 2nd International Conference on Progress in Digital and Physical Manufacturing (ProDPM’21) 2023-06-15

Thesis Supervision

Teaching

Seminars

• New Trends in Machine Learning und Data Analytics: WS 2022/23, WS 2021/22, WS 2020/21

Labs

• Big Data:SS 2023, SS 2021, SS 2020