Mario Nadj

Dr. Mario Nadj

Research Interests

  • Business Intelligence & Analytics
  • Physiological Computing & Physiolytics
  • Artificial Intelligence & Machine Learning
  • Intelligent User Interface Design & Human-Computer Interaction

Short CV

2020: Substitute for the Professorship of Service Management

Karlsruhe Institute of Technology

 Karlsruhe, Germany
2019 – 2020: Substitute for the Professorship of Consumer & User Behavior

Karlsruhe Institute of Technology

 Karlsruhe, Germany

Since 2017:

Head of Area Intelligent Enterprise Systems & Postdoctoral Researcher at the Institute of Information Systems & Marketing

Karlsruhe Institute of Technology

Karlsruhe, Germany
2014 – 2017: Project Lead for Smart Process Applications on Big Data - Business Process Management SAP SE Walldorf, Germany
2017: Doctoral Researcher at the Institute of Information Systems & Marketing Karlsruhe Institute of Technology Karlsruhe, Germany
2014 – 2016: Doctoral Researcher at the Chair of Information Systems IV - Enterprise Systems University of Mannheim Mannheim, Germany
2014: Master of Science in Finance & Information Management Goethe University Frankfurt am Main Frankfurt am Main, Germany
2010 – 2011: International Studies Abroad Institute of Technology Tallaght Dublin Dublin, Ireland
2011: Bachelor of Science in Information Systems University of Bamberg Bamberg, Germany

Teaching

Guest Talks:

  • Siemens Karlsruhe, Process Industries and Drives Division, Process Automation, Process Instrumentation: “Fully in Flow: How you can concentrate better at your workplace despite Emails & Co.” (March 2019)
  • National University Ireland Galway, IS Seminar: “Quo Vadis Real-Time Business Intelligence?” (February 2017)
  • Karlsruher Institut für Technologie, Lecture Business Intelligence Systems: “Process Intelligence for the Digital Age” (November 2016)

Lectures:

Karlsruhe Institute of Technology:
  • Winter 2021/2022: Business Intelligence Systems
  • Winter 2020/2021: Business Intelligence Systems
  • Winter 2019/2020: Business Intelligence Systems
  • Winter 2019/2020: Enterprise Systems
  • Summer 2019: Foundations of Interactive Systems
  • Winter 2018/2019: Business Intelligence Systems
  • Winter 2018/2019: Digital Transformation of Service Systems
  • Winter 2018/2019: IS Seminar Series
  • Winter 2017/2018: Business Intelligence Systems
  • Winter 2017/2018: Digital Transformation of Service Systems
  • Summer 2017: Methods and Theories in Information Systems Research
  • Winter 2016/2017: IS Seminar Series
  • Summer 2016: Management of Information Systems
  • Summer 2016: IS Seminar Series
  • Winter 2015/2016: IS Seminar Series
University of Mannheim:
  • Fall/Winter 2015: Management of Enterprise Systems
  • Fall/Winter 2015: SAP Arbeitsgemeinschaft
  • Fall/Winter 2015: IS Seminar Series
  • Spring/Summer 2015: Operational Process Intelligence
  • Spring/Summer 2015: SAP Arbeitsgemeinschaft
  • Spring/Summer 2015: IS Seminar Series
  • Fall/Winter 2014: Management of Enterprise Systems
  • Fall/Winter 2014: SAP Arbeitsgemeinschaft
  • Fall/Winter 2014: IS Seminar Series

Projects

Community Work

Reviewer Activities:

  • Business & Information Systems Engineering (BISE)
  • Künstliche Intelligenz (KI)
  • International Conference on Information Systems (ICIS)
  • European Conference on Information Systems (ECIS)
  • International Conference on Business Process Management (BPM)
  • International Conference on Advanced Information Systems Engineering (CAISE)
  • Wirtschaftsinformatik (WI)
  • International Conference on Design Science Research in Information Systems and Technology (DESRIST)
  • Multikonferenz Wirtschaftsinformatik (MKWI)
  • Conference on Business Informatics (CBI)
  • International Conference on Business Information Systems (BIS)
  • Workshop Business Intelligence (WSBI)
  • Digitalization Cases (second edition)

Track Chair Activities:

  • Wirtschaftsinformatik (WI) 2021
    • Track: Human-Computer Interaction
  • Wirtschaftsinformatik (WI) 2020
    • Track: Human-Computer Interaction
  • Wirtschaftsinformatik (WI) 2019
    • Track: Human-Computer Interaction

Publications


Journal Articles
  1. Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning – Preliminary Results from a Field Study
    Li, M. X.; Nadj, M.; Maedche, A.; Ifenthaler, D.; Wöhler, J.
    2021. Technology, knowledge and learning. doi:10.1007/s10758-021-09569-4
  2. The effect of interactive analytical dashboard features on situation awareness and task performance
    Nadj, M.; Maedche, A.; Schieder, C.
    2020. Decision support systems, 135, Art.Nr.: 113322. doi:10.1016/j.dss.2020.113322
  3. To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning
    Rissler, R.; Nadj, M.; Li, M. X.; Loewe, N.; Knierim, M. T.; Maedche, A.
    2020. IEEE transactions on affective computing. doi:10.1109/TAFFC.2020.3045269
  4. Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning
    Nadj, M.; Knaeble, M.; Li, M. X.; Maedche, A.
    2020. Künstliche Intelligenz, 34, 131–142. doi:10.1007/s13218-020-00634-1
  5. Situation Awareness in Aircraft Ground Handling: The Impact of Auditory and Visual Notification Cues
    Nadj, M.; Maedche, A.
    2019. Journal of Cognitive Engineering and Decision Making. doi:10.1177/1555343419830183
  6. Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien
    Rissler, R.; Nadj, M.; Maedche, A.; Koppenhagen, N.
    2017. Wirtschaftsinformatik & Management, 9 (6), 12–21. doi:10.1007/s35764-017-0116-0
Conference Papers
  1. Paintings, not Noise - The Role of Variety and Self-Determination in Labeling Work and its Effects on Psychological and Performance Outcomes
    Knaeble, M.; Nadj, M.; Maedche, A.
    2022. CHI 2022 Workshop - Self-Determination Theory in HCI: Shaping a Research Agenda
  2. Toward User-adaptive Interactive Labeling on Crowdsourcing Platforms
    Knaeble, M.; Nadj, M.; Maedche, A.; Loewe, N.
    2022. CHI 2022 Workshop - REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration
  3. Designing a Self-service Analytics System for Supply Base Optimization
    Michalczyk, S.; Nadj, M.; Beier, H.; Mädche, A.
    2021. CAiSE ’21- 33rd International Conference on Advanced Information Systems Engineering, MELBOURNE, 28 JUNE 2021 - 2 JULY 2021, 154–161. doi:10.1007/978-3-030-79108-7_18
  4. An Interactive Machine Learning System for Image Advertisements
    Foerste, M.; Nadj, M.; Knaeble, M.; Maedche, A.; Gehrmann, L.; Stahl, F.
    2021. Mensch und Computer 2021 (MuC ’21), Ingolstadt, 5.-8.9.2021, 574–577, Association for Computing Machinery (ACM). doi:10.1145/3473856.3474027
  5. Demystifying Job Roles in Data Science: A Text Mining Approach
    Michalczyk, S.; Nadj, M.; Mädche, A.; Gröger, C.
    2021. ECIS 2021 Proceedings - European Conference on Information Systems. Human Values Crisis in a Digitizing World, Paper Number: 1622, Association for Information Systems (AIS)
  6. Physio-Adaptive Systems - A State-of-the-Art Review and Future Research Directions
    Loewe, N.; Nadj, M.
    2020. ECIS 2020 Proceedings - Twenty-Eighth European Conference on Information Systems, Marrakesh, Marokko, June 15 - 17, 2020, 19 S
  7. Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning
    Knaeble, M.; Nadj, M.; Maedche, A.
    2020. 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, 9 - 11 März 2020, 2–16, GITO Verlag. doi:10.30844/wi_2020_a1-knaeble
  8. A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics
    Michalczyk, S.; Nadj, M.; Azarfar, D.; Mädche, A.; Gröger, C.
    2020. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference (Marrakesh, Marokko), June 15-17, 2020, Art.Nr. 46, AIS eLibrary (AISeL)
  9. Flow in Knowledge Work Groups – Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?
    Knierim, M. T.; Nadj, M.; Li, M. X.; Weinhardt, C.
    2019. ICIS 2019, Munich, Germany, December 15-18, 2019, 1–17, AIS eLibrary (AISeL)
  10. Flow and optimal difficulty in the portable EEG: On the potentiality of using personalized frequency ranges for state detection
    Knierim, M. T.; Nadj, M.; Weinhardt, C.
    2019. CHIRA 2018 : proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications, Wien, A, September 20-21, 2019. Ed.: H.P. Silva, 183–190, SciTePress
  11. Towards an Integrative Theoretical Framework of Interactive Machine Learning Systems
    Meza Martínez, M. A.; Nadj, M.; Maedche, A.
    2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 172, AIS eLibrary (AISeL)
  12. Exploring Flow Psychophysiology in Knowledge Work
    Knierim, M. T.; Rissler, R.; Hariharan, A.; Nadj, M.; Weinhardt, C.
    2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 239–249, Springer. doi:10.1007/978-3-030-01087-4_29
  13. BrownieR - The R-Package for Neuro Information Systems Research
    Michalczyk, S.; Jung, D.; Nadj, M.; Knierim, M.; Rißler, R.
    2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 101–109, Springer. doi:10.1007/978-3-030-01087-4_12
  14. Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks
    Knierim, M. T.; Nadj, M.; Hariharan, A.; Weinhardt, C.
    2018. Proceedings of the 5th International Conference on Physiological Computing Systems (PhyCS 2018), Seville, E, September 19-21, 2018. Ed.: J.M. Belda Lois, 42–53, SciTePress
  15. Designing Uncertainty-Aware Dashboards for Software Development Projects
    Knaeble, M.; Nadj, M.; Maedche, A.
    2018. 13th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Chennai, IND, June 3-6, 2018, 1–15
  16. Got Flow? Using Machine Learning on Physiological Data to Classify Flow
    Rissler, R.; Nadj, M.; Li, M. X.; Knierim, M. T.; Maedche, A.
    2018. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada, 21st - 26th April 2018, Art.Nr. LBW612, Association for Computing Machinery (ACM). doi:10.1145/3170427.3188480
  17. Towards an integrative theoretical framework of IT-mediated interruptions
    Rissler, R.; Nadj, M.; Adam, M.; Mädche, A.
    2017. Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, 5-10 June 2017, 1950–1967, AIS eLibrary (AISeL)
  18. Towards a Taxonomy of Real-Time Business Intelligence Systems
    Nadj, M.; Schieder, C.
    2017. 25th European Conference on Information Systems (ECIS 2017), Guimarães, P, June 5-10, 2017. Proceedings, Tap Portugal
  19. Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions
    Rissler, R.; Nadj, M.; Adam, M. T. P.
    2017. 13th International Conference on Wirtschaftsinformatik, Wirtschaftsinformatik 2017 (WI-2017), St. Gallen, 12-15 February 2017, 1051–1065
  20. Process Intelligence for the Digital Age – Process Visibility Meets Process Mining
    Volmering, T.; Nadj, M.; Trump, R.; Maedche, A.
    2016. Proceedings of the 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016, 1–13, Springer
  21. A Situation Awareness Driven Design for Predictive Maintenance Systems: The Case of Oil and Gas Pipeline Operations
    Nadj, M.; Jegadeesan, H.; Maedche, A.; Hoffmann, D.; Erdmann, P.
    2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1–10
  22. Quo Vadis Real-Time Business Intelligence? A Descriptive Literature Review and Future Directions
    Nadj, M.; Schieder, C.
    2016. Proceedings of the 24th European Conference on Information Systems, Istanbul, Turkey, June 12-15, 2016, 1–21
  23. Real-Time Business Intelligence: Eine systematische Identifikation aktueller Forschungsbedarfe
    Blaser, F.; Nadj, M.; Schieder, C.
    2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Research-in-Progress- und Poster-Beiträge, Technische Universität Ilmenau, 09.-11. März 2016. Hrsg.: V. Nissen, 1367–1378, Universitätsverlag Ilmenau
  24. The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Contex
    Nadj, M.; Haeußler, F.; Wenzel, S.; Maedche, A.
    2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, Technische Universität Ilmenau, 09.-11. März 2016, Band 3. Hrsg.: V. Nissen, 1367–1378, Universitätsverlag Ilmenau
  25. The Effect of Recommender Systems on Users’ Situation Awareness and Actions
    Kretzer, M.; Nadj, M.; Mädche, A.
    2015. ICIS 2015 Proceedings : 36th International Conference on Information Systems: Exploring the Information Frontier, Fort Worth, United States, December 13-16, 2015, 1–12, Association for Information Systems (AIS)
  26. Towards a Situation-Awareness-Driven Design of Operational Business Intelligence & Analytics Systems
    Nadj, M.; Morana, S.; Mädche, A.
    2015. At the Vanguard of Design Science: First Impressions and Early Findings from Ongoing Research. 10th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Dublin, Ireland, 20-22 May 2015. Ed.: B. Donnellan, 33–40, University College
Research Data
  1. The Economist Historical Advertisements - Objects Dataset
    Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
    2021. doi:10.7801/386
  2. The Economist Historical Advertisements - Faces Dataset
    Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
    2021. doi:10.7801/384
  3. The Economist Historical Advertisements - Industry Subset ’Banking’
    Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
    2021. doi:10.7801/383
  4. The Economist Historical Advertisements – Master Dataset
    Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
    2021. doi:10.7801/382