EVAREST Consortial Meeting

23rd and 24th January 2020

On 23rd and 24th January the consortial meeting as part of the project EVAREST took place at DFKI in Saarbrücken.

EVAREST AP 2 Workshop


On January 14th as a part of the EVAREST project a Requirements Engineering took place in Saarbrücken.

guest speaker Jana Frank (FIR of RWTH Aachen)


On January 23rd Jana Frank will speak about "Service Engineering in the manufacturing industry" as part of the lecture "Value Engineering".

Information and Service Systems (ISS)

Chair in Business Administration, especially Information and Service Systems at Saarland University deals with the development and management of data-driven services, for instance healthcare. Directed by Prof. Dr.-Ing. Wolfgang Maaß, the chair investigates how the application of experimental design methods combined with distributed, data analytic approaches lead to adaptive service designs and innovative solutions. This research is conducted in basic and applied research projects in cooperation with leading research and industry partners. Results are applied and validated in industry projects by the research group Smart Service Engineering (SSE) at the German Research Center for Artificial Intelligence (DFKI).

You can find us now in buliding A5.4, 2nd floor on the right.


SPAICER Symposium

poster_spaicer.jpg On 26th June 2019 the symposium of project SPAICER will take place in the Spreespeicher in Berlin. With its concept idea, the research department Smart Service Engineering of DFKI, the institutes TIM and WZL of RWTH Aachen and the senseering GmbH, together with 34 other teams, succeeded in the competition “Artificial Intelligence (AI) as a driver for economically relevant ecosystems” of BMWi. The vision of the project is to develop a framework model for AI-based resilience management for manufacturing companies in value creation networks.

More information about the project and the symposium can be found here!

European Data Science Summer School

ed3s_poster.jpg Due to capacity utilization, the European Data Science Summer School will not take place in 2019. Every year, the chair ISS hosts the European Data Science Summer School (ED3S). The ED3S takes place in September and includes statistics, web data processing, machine learning & co. 2016 the third ED3S occured. Thanks to all speakers, national and international participants from different research areas. See here for further information concerning the previous Summer School including amongst others speakers and schedule.

Kaufmann, T. ;Sahay, S.; Niemietz, P. ; Trauth, D.; Maass, W. & Bergs, T.

AI-based Framework for Deep Learning Applications in Grinding, Proceedings of the IEEE 18th World Symposium on Applied Machine Intelligence and Informatics(SAMI), 2020.
PDF (2.41 MB) -

Maass, W. & Janzen, S.

Echtzeit-Optimierung in der landwirtschaftlichen Produktion, 20. VDI-Kongress AUTOMATION - Autonomous Systems and 5G in Connected Industries, 2019.
PDF (2.20 MB) -

Öksüz, N., Shcherbatyi, I., Kowatsch, T., Maass, W.

A Data-analytical System to Predict Therapy Success for Obese Children, Proceedings of the 39th International Conference on Information Systems (ICIS), 2018.
PDF (1.53 MB) -