Dipl.-Ing., B.Sc.

Research Assistant & PhD Candidate

Research Unit "Production and Maintenance Management" | Institute of Management Science

TU Wien

Phone: +43 1 58801 33047
Email: steffen.nixdorf@tuwien.ac.at

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Education

• Dipl.-Ing. in Mechanical Engineering - Management, Faculty of Mechanical and Industrial Engineering, TU Wien
• BSc. in Mechanical Engineering - Management, Faculty of Mechanical and Industrial Engineering, TU Wien

Areas of Research Interest

• Knowledge Management
• Reciprocal Learning in Human-Robot Interaction
• Maintenance Insurance
• Predictive Data Analytics and Machine Learning

Research Projects

• RoboNuggets
• UN.I.CO
• DigiMain 4.0
• ConnectSEE
• Learn4SMEs

Publications

Refereed Conference Papers

• S. Nixdorf, F. Ansari & S. Schlund, Reciprocal Learning in Human-Machine Collaboration: A Multi-Agent System Framework in Industry 5.0, In Digitization of the work environment for sustainable production, Peter Plapper (Ed.), Academic Society for Work and Industrial Organization (Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation), Gito Verlag , 2022, pp. 207-226.
• S. Nixdorf, M. Madreiter, S. Hofer & F. Ansari, A Work-based Learning Approach for Developing Robotics Skills of Maintenance Professionals, Proceedings of Conference on Learning Factories (CLF 2022),11-13 April 2022, Singapore.
• S. Nixdorf, M. Zhang, F. Ansari, & E. Grosse, (2022). Reciprocal Learning in Production and Logistics. IFAC-PapersOnLine, 55(10), 854-859.
• S. Nixdorf, F. Ansari, W. Sihn, Work-Based Learning in Smart Manufacturing: Current State and Future Perspectives, Proceedings of the Conference on Learning Factories (CLF) 2021.
• M. Papa, S.Nixdorf, S. Schlund, D. Aschenbrenner, Teaching Robotics: Description Model for Synergetic Combination of Robotics Learning Content. Proceedings of the Conference on Learning Factories (CLF) 2021.
• W. Mayrhofer, S. Nixdorf, C. Fischer, T. Zigart, C. Schmidbauer, S. Schlund, Learning Nuggets for Cobot Education: A Conceptual Framework, Implementation, and Evaluation of Adaptive Learning Content. Proceedings of the Conference on Learning Factories (CLF) 2021.
• F. Ansari, S. Nixdorf & W. Sihn, Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk?, 4th IFAC Conference on Advanced Maintenance Engineering, Services and Technologies, September 10-11, 2020, Cambridge, UK, IFAC-PapersOnLine Volume 53, Issue 3, 2020, pp. 295-300. (Winner of Best Paper Award)

Technical Report and White Papers

• S. Nixdorf, F. Ansari, S. Schlund, M. Wolf, M. Hulla, M. Papa, S. Bardy, A. Kress & J. Rosemeyer (2022). Work-Based Learning in Manufacturing Industry. A Sector-Based Meta-Analysis (1.0.0). TU Wien.

Master Thesis

• Nixdorf, Steffen (2019): Intellectual Property Management. Know-How Protection in Rolling Stock Business Cooperation; Supervisor: D. Gerhard; Institute of Engineering Design and Product Development, 2019