The Chair of Information Systems for the Service Industry at Saarland University focuses on the development and management of data-driven services as well as the use of artificial intelligence methods in areas such as industrial manufacturing, healthcare, wellness, and sports, among others. Under the leadership of Prof. Dr.-Ing. Wolfgang Maaß, the chair investigates how the application of experimental design methods in combination with distributed data analytic approaches leads to adaptive service designs and innovative business solutions. In cooperation with leading research and industry partners, this research is conducted in both fundamental and applied research projects. The research results are applied and validated in industrial projects of the Smart Service Engineering (SSE) research department at the German Research Center for Artificial Intelligence (DFKI).
Artificial Intelligence and the anti-doping fight of the future
The sporting world often only knows months or years later whether top performances really deserve their fame or whether doping was involved. Our research into doping analysis using artificial intelligence, which was reported on by Hajo Seppelt and Peter Wozny from ARD, provides a solution to the problem: https://www.sportschau.de/doping/kuenstliche-intelligenz-im-anti-doping-kampf-100.html
Announcement of the Talk by Dr. Shuo-Yan Chou on “Technology-enabled Data-driven Sustainable Smart Services”
We are delighted to invite you to an exciting talk titled “Technology-enabled Data-driven Sustainable Smart Services”. Our guest speaker is Dr. Shuo-Yan Chou, a renowned expert in the field of industrial management and Director of the Center for Internet of Things Innovation at the National Taiwan University of Science and Technology.
When and Where?
Date: February 13, 2024
Time: 14:00
Location: DFKI Vis Room (SB, NB -1.63)
Language: English
Wolfgang Maaß is professor in Business Informatics at Saarland University, scientific director at Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), and adjunct professor Stony Brook University Health Sciences Center School of Medicine, NY.
AI-Driven Software Engineering – The Role of Conceptual Modeling. Enterprise Modelling and Information Systems Architectures (EMISAJ), Vol. 19.
PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data. Bioinformatics Advances, 3(1), vbad145.
”Listening In”: Social Signal Detection for Crisis Prediction. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.