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Head of the Research Department Smart Service Engineering

Prof. Dr.-Ing. Wolfgang Maaß

Publications

Prajvi Saxena; Sabine Janzen; Wolfgang Maaß

In: 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-2024), 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations, located at NAACL 2024, June 16-21, Mexico City, Mexico, Association for Computational Linguistics, 6/2024.

To the publication

Sabine Janzen; Wolfgang Maaß; Prajvi Saxena

In: 19th International Conference on Design Science Research in Information Systems and Technology. International Conference on Design Science Research in Information Systems and Technology (DESRIST-2024), June 3-5, Trollhättan, Sweden, Springer, 6/2024.

To the publication

Sabine Janzen; Prajvi Saxena; Sebastian Baer; Wolfgang Maaß

In: Conference Proceedings. Hawaii International Conference on System Sciences (HICSS), USA, HICSS, 1/2024.

To the publication

Profile

Professor Maaß is Professor of Business Administration, especially Business Informatics in Service Management, Professor of Computer Science (co-opted) at Saarland University, Scientific Director of the German Research Center for Artificial Intelligence (DFKI) and Associate Professor of Biomedical Informatics at Stony Brook University, NY. He studied computer science at the RWTH Aachen, as well as at Saarland University. His PhD in computer science was funded by a DFG scholarship from the graduate college "Cognitive Science". He was a post-doc at the Institute of Technology Management (ITEM), as well as at the Institute for Media and Communications Management (MCM) at the University of St. Gallen (HSG), Switzerland, where he also obtained his habilitation. Previously, he was a Lecturer at HSG and Professor of Media Informatics at the Hochschule Furtwangen (HFU). He was a visiting professor at the Department of Bioinformatics & Computational Biology at the University of Texas (M.D. Anderson Cancer Center, 2009), and at the Department of Biomedical Informatics at the University of Health Sciences Center School of Medicine, Stony Brook, NY (2016). In his research, he investigates the transformation of the industrial sector using artificial intelligence applications.

Research Interests
Wolfgangs field of research are information systems including Ubiquitous Information Systems (UIS) with a focus on smart products, Internet of Things, intelligent information systems, conceptual modeling, electronic knowledge markets, and paid content.

  • MARVIN

    Development of AI-based Screening Tool to detect Identical Urine Samples within the Athlete Biological Passport

    MARVIN aims to enhance anti-doping measures by developing an advanced AI-based tool for detecting identical steroid profiles in athletes. The project addresses a specific doping method where athletes…

  • ESCADE

    Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

    Growth of data centers and their capacities is central to economies as digital transformation needs computing power. But processing data and training large AI models generates tons of CO2 and consumes…

    ESCADE
  • QUASIM

    QC-Enhanced Service Ecosystem for Simulation in Manufacturing

    Quantum computing (QC) is a technology developing rapidly in research, but has also raised initial expectations in industrial applications. The manufacturing industry is one of the central German…

    QUASIM
  • 3S Project

    Steroid Sample Swapping

    Anti-doping analysis is a crucial measure to fight against cheating and doping activities in sports. The Athlete Biological Passport is widely implemented, including its two modules, namely…

  • EPOPredictII

    Erythropoietin Prediction II

    Sports officials around the world are facing incredible challenges due to the unfair means of practices performed by the athletes to improve their performance in the game. Athletes have a desire to…

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