CircularSaar – Circular Economy Strategies for Saarland Industries
ActiveThe CircularSaar project supports Saarland's transition towards a sustainable circular economy in industries like automotive, machinery, and...
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Prof. Dr.-Ing. habil. oec. Wolfgang Maaß
Chair of Business Informatics
Saarland University
Office: Campus, Building A5 4, 66123 Saarbrücken, Germany
Phone: +49-681 85775 5037
Email: wolfgang.maass (at) iss (dot) uni-saarland (dot) de
Note: in publications: Wolfgang Maass because ß is turned in B in Anglo-Saxon communities
Wolfgang Maaß, with degrees from RWTH Aachen
University and Saarland University, including
a Ph.D. in Computer Science, is a distinguished professor at Saarland University specializing in Business
Informatics and Computer Science. He also serves as a Senior Data Science Advisor at the National Cancer Institute (NCI) in the United States.
As the scientific director at the German Research Center for
Artificial Intelligence (DFKI), Maaß focuses on research in data economics and applying
artificial intelligence across various industries such as manufacturing and health.
Wolfgang Maaß is a researcher in the field of information systems with expertise in
artificial intelligence, data science, design science, and recently quantum computing. His
research focuses on the application of these skills in various application areas, including
Industry 4.0, healthcare, and sports. His work aims to gain insights from data, optimize
processes and create innovative solutions at the interface of technology and society.
Wolfgang has significantly influenced the fields of Artificial Intelligence, Information
Systems, and Conceptual Modeling
through his active roles in leading conferences, journals, and editorial boards. He has
served as a Program Committee
member and Program Co-chair for renowned conferences such as the
International Conference on Conceptual
Modeling (ER),
the Conference on Advanced Information Systems
Engineering (CAiSE),
the International Conference on Information
Systems (ICIS), and
the European Conference on Information Systems (ECIS).
His involvement also extends to reviewing for prestigious events like the IEEE International Conference on Data Engineering (ICDE), the International Joint Conference on Artificial Intelligence (IJCAI), and the Conference on Neural Information Processing Systems (NeurIPS).
As a journal reviewer, Prof. Maaß has contributed to top-tier outlets, including Management Information Systems Quarterly (MISQ), the Journal of the Association for Information Systems (JAIS), and Decision Support Systems (DSS). Additionally, he serves on the editorial boards of Data & Knowledge Engineering (DKE), the Electronic Markets Journal, and the Signals Journal, supporting advancements in data systems, digital markets, and interdisciplinary signal processing. Through these roles, Prof. Maaß has demonstrated leadership and a commitment to advancing innovative research across disciplines.
His involvement also extends to reviewing for prestigious events like the IEEE International Conference on Data Engineering (ICDE), the International Joint Conference on Artificial Intelligence (IJCAI), and the Conference on Neural Information Processing Systems (NeurIPS).
As a journal reviewer, Prof. Maaß has contributed to top-tier outlets, including Management Information Systems Quarterly (MISQ), the Journal of the Association for Information Systems (JAIS), and Decision Support Systems (DSS). Additionally, he serves on the editorial boards of Data & Knowledge Engineering (DKE), the Electronic Markets Journal, and the Signals Journal, supporting advancements in data systems, digital markets, and interdisciplinary signal processing. Through these roles, Prof. Maaß has demonstrated leadership and a commitment to advancing innovative research across disciplines.
| 2023 - today | Senior Data Science Advisor, National Cancer Institute (NCI), MD, USA |
| 2017 - today | Adjunct Professor at the Department of Biomedical Informatics, Stony Brook University (SUNY), NY, USA |
| 2015 - today | Scientific Director at the German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany |
| 2011 - today | Distinguished Professor at Saarland University for Business Informatics and (co-opted) Computer Science (Saarland Informatics Campus), Saarbrücken, Germany |
| 2009 - 2010 | Guest Professor (faculty member) at the Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, University of Texas |
| 2005 - 2011 | Professor (W2) for Media Informatics, Department of Digital Media, Furtwangen University |
| 1998 - 2007 | Habilitation at the University of St. Gallen, venia legendi: Business Administration with special focus on Information Management |
| 1998 - 2005 | Post-Doc at the Institute for Media and Communications Management, University of St. Gallen |
| 1993 - 1996 | DFG-Grant for the Graduate School in Cognitive Science, Saarland University |
| 1992 - 1996 | Research assistant, chair of Wolfgang Wahlster, Saarland University |
| 1992 - 1996 | Ph.D. student (supervisor Wolfgang Wahlster and co-supervisor Werner Tack) at the Faculty for Natural Sciences, Fakultät I (Mathematics and Computer Science) at Saarland University |
| 1990 - 1992 | Diploma studies in Computer Science (minor Electrical Engineering) at Saarland University, degree: Diplom |
| 1985 - 1990 | Undergraduate studies (Vordiplom) in Computer Science (minor Physics) at RWTH Aachen |
ER 2025 (SPC), ECAI 2025 (PC), ER 2025 (PC), CAISE 2025 (PC), ER 2024 (PC), ICIS 2024 (PC),
HICSS 2024 (PC), ECIS 2024 (PC), MuC 2024 (PC), ER 2023 (PC), ICIS 2023 (PC), WI 2023 (PC),
ECIS 2023 (PC), ER 2022 (PC), ICIS 2022 (PC), HICSS 2022 (PC), WITS 2022 (PC), WI 2022 (PC),
ER 2021 (PC), ICIS 2021 (PC), MuC 2021 (PC), ER 2020 (PC), HICSS 2020 (PC), ECIS 2020 (PC),
ISWC 2019 (PC), WITS 2019 (PC), ICIS 2019 (PC), WI 2019 (PC), ER 2018 (PC), ECIS 2018 (PC),
HICSS 2018 (PC), ER 2017 (PC), ICIS 2017 (PC), ER 2016 (PC), ICIS 2016 (PC), ER 2015 (PC),
ICIS 2015 (PC), WI 2015 (PC), AAAI 2015 (PC), ER 2014 (PC), HICSS 2014 (PC), ECIS 2013 (PC),
ICIS 2013 (PC), WI 2013 (PC), WITS 2012 (PC), HICSS 2012 (PC), AAAI 2010 (PC), ISWC 2009
(PC), ECIS 2009 (PC), WI 2009 (PC), ER 2008 (PC), BLED 2008 (PC), ISWC 2007 (PC), WI 2007
(PC), BLED 2007 (PC), AAAI 2007 (PC), ESWC 2005 (PC).
Editorial Boards
Editorial Board Member
Editorial Board Member
Editorial Board Member
Books and Edited Volumes
Editors: Wolfgang Maass, Hyoil Han, Hasan Yasar,
Nick Multari
Conceptual Modeling
43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024,
Proceedings.
Lecture Notes in Computer Science (LNCS), Volume 15238. Springer, 2025.
This book is part of the ER: International Conference on Conceptual Modeling series
and
includes cutting-edge research in the field of conceptual modeling.
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Editors: Wolfgang Maass, Tobias Kowatsch
Semantic Technologies in Content Management Systems
Springer Berlin, 2012
Content Management Systems (CMSs) are used in almost every industry by millions of end-user organizations. This book has the objective to reflect existing applications as well as to discuss and present new applications for CMSs that use Semantic Technologies.
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Wolfgang Maass
Elektronische Wissensmärkte:
Handel digitaler Wissensgüter auf elektronischen Märkten
Gabler Verlag, 2007
This book explores electronic knowledge markets and the trade of digital knowledge
goods, offering insights into market dynamics and technological implications.
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Florian Stahl & Wolfgang Maass
Content Management Handbuch:
Strategien, Theorien und Systeme für erfolgreiches Content Management
NetAcademy Press, 2003
This handbook provides comprehensive strategies, theories, and systems for
successful content management, covering both theoretical and practical aspects.
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Current Research Projects
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ESCADE – Smart Data Ecosystems
CompletedThe goal of ESCADE (Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers) is to significantly improve the...
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EVAREST – Evaluating and Restoring Trust in AI Systems
CompletedEVAREST aims to optimize food production by leveraging comprehensive data analysis and integration. By enabling food producers to view themselves...
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FedWell – Life-Long Federated User and Mental Modeling for Health and Well-being
ActiveAdaptive and personalized AI systems in healthcare rely on user and situational data to provide optimal support. However, patients facing illness,...
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PAIRS – Privacy-Aware, Intelligent and Resilient Crisis Management
ActiveThe PAIRS project, initiated by Advaneo and funded with €10 million, is developing an AI-driven crisis management data space. Its hybrid AI...
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QUASIM – Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
CompletedThe goal of the project “QC-Enhanced Service Ecosystem for Simulation in Manufacturing" (QUASIM) is to develop and test algorithms and...
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SPAICER – Scalable Adaptive Production Systems
CompletedDisruptions in production range from material quality issues and machine damage to power outages and workforce shortages. The SPAICER research...
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SmaPron – Smart Production Systems
CompletedSmaPron leverages IoT and AI technologies to enable intelligent, self-optimizing production systems for the manufacturing industry, increasing...
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