Theresa Madreiter

[Translate to English:] Theresa Madreiter

Dipl.-Ing., B.Sc. 

Research Assistant & PhD Candidate

Member of the Research group "Smart and Knowledge-Based Maintenance"

Division of Industrial and Systems Engineering | Institute of Management Science

TU Wien

Phone: +43 1 58801 33094
Email: theresa.madreiter@tuwien.ac.at

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-Based Maintenance
  • Predictive & Prescriptive Maintenance
  • Knowledge Discovery from Text
  • Semantic Technology, NLP
  • Predictive Data Analytics and Machine Learning

Research Projects

Publications

Book chapters

  • T. Madreiter, F. Ansari (2022), Instandhaltungslogistik: Qualität und Produktivität steigern., Kapitel „Text Mining in der wissensbasierten Instandhaltung“ Carl Hanser Verlag GmbH Co KG.

Refereed Conference Papers

  • L. Reichsthaler, T. Madreiter, J. Giner, R. Glawar, F. Ansari & W. Sihn, An AI-enhanced Approach for optimizing life cycle costing of military logistic vehicles, The 29th CIRP Conference on Life Cycle Engineering, Procedia CIRP, Vol. 105, 2022, pp. 296-301.
  • T. Biegel, N. Jourdan, T. Madreiter, L. Kohl, S. Fahle, F. Ansari, B. Kuhlenkötter & J. Metternich, Combining process monitoring with text mining for anomaly detection in discrete manufacturing, Proceedings of Conference on Learning Factories (CLF 2022), 11-13 April 2022, Singapur. Available at SSRN 4073942. – Ausgezeichnet mit Best Paper Award.
  • 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, Singapur. Available at SSRN 4074528.
  • T. Madreiter, L. Kohl & F. Ansari, A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises, Advances in Production Management Systems (APMS 2021), Artificial Intelligence for Sustainable and Resilient Production Systems, IFIP Advances in Information and Communication Technology, Vol. 630, Springer, pp. 161.170.

Master Thesis

  • Madreiter, Theresa (2020): Design and Development of a Prototype of a Text Understanding Tool for Maintenance 4.0 by Measuring Associations, Readability and Sentiment (TU-MARS); Supervisor: W. Sihn & F. Ansari; Institute of Management Science, 2020

Awards