Mario Nadj

Mario Nadj is an Assistant Professor of Business & Information Systems Engineering at the Department of Business and Economics, Technical University of Dortmund since September 2022. His research focuses on Business Intelligence & Analytics, Physiological Computing, and Interactive & Explainable Machine Learning.

• Education:
• Bachelor of Science in Business Information Systems (2011), Otto-Friedrich-University Bamberg
• Study abroad at Institute of Technology Tallaght Dublin (2010-2011)
• Master of Science in Finance & Information Management (2014), Goethe University Frankfurt

Research Interests: Dr. Nadj explores how physiological data and interactive systems can enhance workplace performance and decision-making. His work bridges human factors with computational methods, emphasizing explainable AI and human-in-the-loop systems. Recent studies investigate flow states in knowledge work, IT-mediated interruptions, and adaptive labeling systems.

Awards: No awards explicitly mentioned.

Advising & Grants: No formal advisees listed. Previously led projects such as “Smart Process Apps on Big Data” (SAP SE, 2014-2017) and headed research areas like Intelligent Enterprise Systems at Karlsruhe Institute of Technology.

Labs/Teams: Involved in neuroinformation systems research, evidenced by tools like the ‘brownieR’ package for EEG data analysis.