Linus Kohl

Dr. Linus Kohl

Industrial digital & IT leader · researcher · essayist

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Profile

Digital and IT leader in industry with a research background. Turns data, enterprise systems and AI into operating results by settling the questions technology cannot: what to standardise, who owns the outcome and where a person must still decide. Member of a site management team; doctorate in knowledge-based maintenance; 18 publications.

Experience

Present

Head of Digitalisation & IT

An industrial manufacturing site in Austria · member of the site management team

  • Responsible for the site’s digital and IT agenda, from enterprise systems and production data to the use of AI in business and manufacturing processes, together with reliable day-to-day operations.
  • Replaced team-by-team spreadsheets with a single governed forecasting layer in the CRM system that feeds sales planning directly.
  • Introduced a stewardship model for master data in the ERP system, with named owners in the business rather than in IT.
  • Standardised production data capture and built shared analyses of equipment effectiveness and major stoppages for production management.
  • Leads the professionalisation of test management within a multi-site ERP migration programme.
  • Built a network of trained key users that handles most day-to-day questions where they arise.
  • Laid the foundations for a predictive-maintenance proof of concept, bringing doctoral research to the shop floor.
Previously

Group Leader, Production Optimisation & Maintenance Management

Fraunhofer Austria Research GmbH

  • Led applied research and delivery projects with partners in the automotive and semiconductor industries.
  • Held a leading role in the Smart Maintenance Community.
  • Research on knowledge-based maintenance, text mining of maintenance records and AI assistance for planners and technicians.

Education

2025

Doctorate, TU Wien

Dissertation: “Knowledge-based maintenance framework for smart manufacturing: advancing efficient planning and cognitive assistance to enhance system availability”.

2019

Diploma, TU Wien

Thesis on the automatic generation of recommendations in a prescriptive maintenance model.

Research and teaching

Record

18 publications, 260+ citations, h-index 7 (Google Scholar, November 2026). Outlets include CIRP Annals, Procedia CIRP, the PHM Society European Conference and IEEE ETFA.

  • Ansari, Kohl, Sihn (2023). A competence-based planning methodology for optimizing human resource allocation in industrial maintenance. CIRP Annals 72(1).
  • Ansari, Kohl, Giner, Meier (2021). Text mining for AI enhanced failure detection and availability optimization in production systems. CIRP Annals 70(1).
  • Kohl, Eschenbacher, Besinger, Ansari (2024). Large language model-based chatbot for improving human-centricity in maintenance planning and operations. PHM Society European Conference 8(1).
  • Kohl, Ansari (2024). A knowledge graph-based learning assistance system for industrial maintenance. Procedia CIRP 126.

Full list

Teaching

Guest lectures and thesis supervision at TU Wien, Institute of Management Science.

Independent work

Since late 2025

The firm of one

A privately run operating model of four AI agents and 28 services with one accountable owner, at about €188 a month. Used as a management case on decision rights, cost, failure and organisational memory, and published as a series of essays from December 2026. Private project, private time, private equipment; no employer data.

Speaking

CIO Kongress, Loipersdorf, October 2026. Talks on the shifting role of IT and on operating models for AI agents. Topics

Languages

German and English; works and publishes in both.