The Chair in Information and Service Systems 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).
QUASIM: Talk at Bitkom Quantum Summit, 20.-21.09.2023
On September 20, Prof. Wolfgang Maaß gave a talk on the research project QUASIM at the Bitkom Quantum Summit 2023. You can watch the talk, giving insights on the project and its current progress here on Youtube. For more information on QUASIM activities see at our Instagram account or on the QUASIM website.
Highlights from AAAI Symposium 2023
Our team member Cicy K. Agnes gave a remarkable talk on “SNOOP-Method: Faithfulness of Text Summarizations for Single Nucleotide Polymorphisms” at the prestigious Association for the Advancement of Artificial Intelligence (AAAI) Symposium in Singapore!
Wolfgang Maass, Cicy K. Agnes, Maxx R. Rahman, and Jonas S. Almeida authored the paper accompanying the talk. The article presents the SNOOP method, our innovative approach that uses embedding transformation models to evaluate fidelity and hallucination in different LLM summaries. The method provides an integrated view of the results and facilitates rapid assessment for physicians.
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.
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.
ADA: Automatic Data Annotation for Data Ecosystems. In: Irini Fundulaki; Kouji Kozaki; Jose Manuel Gomez-Perez; Daniel Garijo (Hrsg.). Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks. International Semantic Web Conference (ISWC-2023), located at 22nd International Semantic Web Conference, November 6-10, Athens, Greece, Springer, 2023.