Mario Nadj
Scholar

Mario Nadj

Google Scholar ID: NnkdZ2UAAAAJ
University of Duisburg-Essen
Artificial IntelligenceMachine LearningData ScienceNeuroIS
Citations & Impact
All-time
Citations
568
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Published an article on job roles in data science in the Business & Information Systems Engineering (BISE) journal.
Research Experience
  • Serves as a professor at the Chair of Information Systems and AI in Marketing at the University of Duisburg-Essen. Research projects include AI interactivity, AI explainability, and AI in human physiology.
Background
  • Research Interests: Application of AI in marketing, human-computer interaction, AI explainability, and AI in human physiology. Professional Field: Information Systems and Artificial Intelligence. Overview: Using a socio-technical research approach, exploring how to realize responsible human-computer interactions and how to design and use fair, interpretable, and trustworthy AI systems in diverse application contexts.