Study participants wanted!


As part of the research project "Future Data Assets", which is funded by the German Federal Ministry for Economic Affairs and Energy, the Chair of Business Administration (esp. Information and Service Systems) of Univ.-Prof. Dr.-Ing. Wolfgang Maaß, at Saarland University, is conducting a study on the quality of customer data in companies and its impact on the value of data.

Bachelor Defense Talk


Kian Dousti will have his bachelor thesis interim presentation via MS Teams on Thursday, February 11th at 16:00. The topic of the presentation is: "KI-Algorithmen zur Umsatzprognose basierend auf Datenqualität - ein Überblick".

German Research Center for Artificial Intelligence (DFKI) supports GAIA-X project in NRW as an associated partner


The German Research Center for Artificial Intelligence GmbH in Saarbrücken of Prof. Dr-Ing. Wolfgang Maaß from Saarbrücken supports as an associated partner in the area of Other/AI.

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.

Öksüz, N., & Maass, W.

A Situation-Specific Smart Retail Service Based On Vital Signs, Proceedings of the 41th International Conference on Information Systems, 2020.
PDF (3.62 MB) -

Öksüz, N., & Maass, W.

Data-Driven System for Treatment of Obese Children in Rural Areas, MobileHCI ’20 Workshop: Learning from mHealth Success Stories: Effective Interventions for Marginalised Populations, 2020.
PDF (2.28 MB) -

Xu, S.; Bauer, J.; Axmann, B. & Maaß, W.

CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing, POSTER presentation at ISVC'20, 2019.
PDF (6.98 MB) -