معرفی
Mario Nadj is a full Professor holding the Chair for Information Systems and Artificial Intelligence (AI) in Marketing at the University of Duisburg-Essen's Faculty of Computer Science. Previously, he served as an assistant professor and chairholder for Business & Information Systems Engineering at TU Dortmund University and held two deputy professorships at the Karlsruhe Institute of Technology (KIT), where he was also head of the Intelligent Enterprise Systems department.
- Bachelor's degree in Information Systems from the University of Bamberg
- Master's degree in Finance and Information Management from Goethe University Frankfurt
- Doctorate from KIT with highest praise (summa cum laude)
Professor Nadj's research spans the intersection of artificial intelligence, information systems, and cognitive science. His work primarily focuses on three interconnected areas: understanding information systems through AI and neuroscience tools, investigating explainability of AI decisions to open the 'black box,' and exploring effective human-AI interaction paradigms. His research integrates methods from neurophysiology and cognitive psychology to study workplace phenomena like flow states and cognitive load in knowledge workers.
His publication portfolio shows a clear trend toward human-centered AI systems, with recent work emphasizing interactive explainable AI, physiological computing for flow detection, and human-in-the-loop machine learning systems. The research spans disciplines including information systems, human-computer interaction, cognitive psychology, and data science, with a strong emphasis on empirical validation through laboratory experiments and eye-tracking studies.
- Vinton G. Cerf Best Student Paper Award at the International Conference on Design Science Research in Information Systems and Technology (2025)
- Judges' Award for the Accessibility Challenge of the International Web for All Conference (2023)
- Best Demo Paper Award of the International Conference on Advanced Information Systems Engineering (2021)
- Business Intelligence Systems among the eleven best rated lectures at KIT Department of Economics and Management (WS 2020/2021)
- Teaching Award of the Hector School of Engineering & Management - 2nd Place (Intake 2019)
Professor Nadj's research is supported by major German companies from the automotive and software industries. His work on interactive labeling systems, physiological computing for workplace flow, and explainable AI has attracted significant industry interest. He collaborates extensively with researchers across Europe, particularly with Alexander Maedche and colleagues at the University of Mannheim. His projects often bridge theoretical information systems research with practical applications in business intelligence, data science, and human-AI collaboration.
His research group at Duisburg-Essen focuses on neuro information systems, combining traditional information systems research with neuroscience methodologies. The team has developed tools like brownieR, an R-package for neuro information systems research, and has conducted pioneering work on using EEG to detect flow states in knowledge workers. Current projects emphasize making AI systems more transparent and interactive while optimizing human-AI collaboration in business contexts.
