[Translate to English:] Linus Kohl

Dipl.-Ing., B.Sc. 

Research Assistant & PhD Candidate

Research Group of "Production and Maintenance Management"

Division of Industrial Engineering | Institute of Management Science

TU Wien

Phone: +43 1 58801 33094
Email:linus.kohl@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 Interests

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

Research Projects

Publications

In Press/Preprint

  • L. Kohl, F. Ansari, W. Sihn, A Modular Federated Learning Architecture for Integration of AI-enhanced Assistance in Industrial Maintenance, Academic Society for Work and Industrial Organization, Gito Verlag Berlin, 2021 (in Press)
  • L. Kohl, B. Fuchs, R. Berndt, D. Valtiner, F. Ansari, S. Schlund. Künstliche Intelligenz im Kompetenzmanagement, Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 116, no. 7-8, 2021, pp. 534-537. https://doi.org/10.1515/zwf-2021-0100
  • T. Passath, C. Huber, L. Kohl, H. Biedermann & F. Ansari, A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation, TECHNICAL JOURNAL 15 (2), 2021, pp. 226-234 (Accepted, Pre-Print available)

Journals (Peer reviewed)

  • F. Ansari, L. Kohl, J. Giner, H. Meier, Text mining for AI enhanced failure detection and availability optimization in production systems, CIRP Annals - Manufacturing Technology, 2021 (In Press, Online since June 8 2021). | Q1 in Industrial & Manufacturing Engineering / Mechanical Engineering

Master Thesis

  • Kohl, Linus (2019): Design and Development of Automatic Recommendation Generation Module of Prescriptive Maintenance Model (AutoPriMa); Supervisor: W. Sihn & F. Ansari; Institute of Management Science, 2019.

Awards

  • Industrial Management - Thesis Award 2019

         Österreichischer Verein zur Förderung der Betriebswirtschaftlichen Forschung und Ausbildung