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The research focus area of “Highly Efficient Technical Systems” also shares this view and concentrates on optimizing technical systems. To this end, experts in the fields of electrical engineering, IT, and mechanical engineering combine their interdisciplinary competencies to create innovative solutions, from the product approach, to the extended product approach, right up to the entire system approach.


Machine Learning in Industry: Predictive Maintenance in the Automotive Industry

As a mobile engineering lab, the online platform elab2go offers an introduction to technological implementation options for trends in the context of Industry 4.0 anywhere and at any time. Themed "Technologies: INTUITIVE and PRACTICAL", you can experiment with data and technologies. On the one hand, the elab2go illustrates how technological trends work and, on the other hand, shows their potential applications in practice.
Prof. Dr. Eva Maria Kiss and Anke Welz, M. Sc. (University of Applied Science in Kaiserslautern, Faculty of Applied Engineering) present the elab2go - Mobile Engineering Lab as part of the event "Machine Learning in Industry: Predictive Maintenance using the example of the automotive industry".

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Project of the month November 2020 (Research Association of the German Food Industry)

The BMBF-funded project “Minimization of aromas carry-over during the bottling of wine, sparkling wine and fruit wines“ under the direction of Prof. Dr.-Ing. Jens Schuster was chosen as project of the month by the Research Association of the German Food Industry.

Congratulations to Prof. Dr.-Ing. Jens Schuster and Mr David Müller!

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