Linus Kohl

Dipl.-Ing., B.Sc. 

Research Assistant & PhD Candidate

Research Group of Smart and Knowledge-Based Maintenance

Division of Industrial and Systems Engineering | Institute of Management Science

Vienna University of Technology (TU Wien)

Theresianumgasse 27 | 1040 Vienna, Austria

T: +43 1 58801 33048
F: +43 1 58801 33094
linus.kohl@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 Interests  

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

Research Projects

• Schichtbuch 4.0
• digiLab IDS

Publications

In Press/Preprint

• 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)
  
  
• 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)

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
  
  
• 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.

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