Linus Kohl

Research

The evidence behind the practice

My academic work is about keeping knowledge usable in production: in maintenance planning, in the records plants already keep and, more recently, in language models that help the people who do the work.

Record

publications indexed on Google Scholar
18
citations
260+
h-index
7
papers in CIRP Annals, 2021 and 2023
2

Google Scholar, November 2026.

Lines of work

Two established, one in progress

  • 2019 – today

    Knowledge-based maintenance and cognitive assistance

    Knowledge graphs, competence-based planning, federated learning architectures and assistance systems that keep expert knowledge usable in complex production environments. The doctoral foundation and the larger part of the record.

  • 2024 – today

    Language models in industrial operations

    Chatbots for maintenance planning, explainable event extraction from maintenance text and retrieval-assisted planning, with the emphasis on the person using them.

  • In preparation

    Human-gated operating models for AI agents

    A design-research study of how decision rights, approval gates and recovery should be arranged so that one accountable person can operate several AI agents, and of the ways such an arrangement fails. The data are a continuous record since March 2026: version history, model-call logs, approval logs and an incident log.

    The aim is modest by design: a small set of design principles, a classification of failures, a cost profile and an honest account of where the findings stop. A single case studied by its own builder proves little without outside evaluation, so the study includes a second stakeholder and review by external practitioners and researchers.

    I give no title or venue here, because peer review is blind. I am looking for an academic co-author with design-science experience. Write to me if that is you.

Publications

Full list

Source of record: Google Scholar and ORCID.

Journal articles

  • Explainable event extraction in knowledge-based maintenanceLukas Künig, Linus Kohl, Sareh Aghaei, Fazel Ansari · Procedia CIRP 134, 711–716, 2025 · DOI
  • A knowledge graph-based learning assistance system for industrial maintenanceLinus Kohl, Fazel Ansari · Procedia CIRP 126, 87–92, 2024 · DOI
  • A competence-based planning methodology for optimizing human resource allocation in industrial maintenanceFazel Ansari, Linus Kohl, Wilfried Sihn · CIRP Annals 72(1), 389–392, 2023 · DOI
  • AI-enhanced maintenance for building resilience and viability in supply chainsFazel Ansari, Linus Kohl · Supply Network Dynamics and Control, 163–185, 2022 · DOI
  • Text mining for AI enhanced failure detection and availability optimization in production systemsFazel Ansari, Linus Kohl, Jakob Giner, Horst Meier · CIRP Annals 70(1), 373–376, 2021 · DOI
  • Künstliche Intelligenz im Kompetenzmanagement: Ein Fallbeispiel aus der HalbleiterindustrieLinus Kohl, Benedikt Fuchs, René Berndt, Daniel Valtiner, Fazel Ansari, Sebastian Schlund · ZWF 116(7–8), 534–537, 2021 · DOI
  • A knowledge-based digital lifecycle-oriented asset optimisationTheresa Passath, Cornelia Huber, Linus Kohl, Hubert Biedermann, Fazel Ansari · Tehnički glasnik 15(2), 226–234, 2021 · DOI

Conference papers

  • Transforming STEM education with extended reality: a replicable framework for university integrationJulia Reisinger, Zuzanna Drop, Annabel Resch, Linus Kohl, Fazel Ansari · CLF 2025, 53–61, 2025 · DOI
  • Large language model-based chatbot for improving human-centricity in maintenance planning and operationsLinus Kohl, Sarah Eschenbacher, Philipp Besinger, Fazel Ansari · PHM Society European Conference 8(1), 2024 · DOI
  • DigiTeachVR: digitally-enhanced teaching platform for improving data science skills and virtual reality competences in cross-disciplinary engineering educationLinus Kohl, Philipp Stricker, Julia Reisinger, Fazel Ansari · CLF 2024, 50–57, 2024 · DOI
  • Knowledge-based digital twin for predicting interactions in human-robot collaborationTadele Belay Tuli, Linus Kohl, Sisay Adugna Chala, Fazel Ansari · IEEE ETFA, 2021 · DOI
  • A text understandability approach for improving reliability-centered maintenance in manufacturing enterprisesTheresa Madreiter, Linus Kohl, Fazel Ansari · IFIP APMS 2021 · DOI

Book chapters and edited volumes

  • AI-enhanced fault detection using multi-structured data in semiconductor manufacturingLinus Kohl, Theresa Madreiter, Fazel Ansari · In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement (Springer), 297–312, 2024 · DOI
  • Knowledge-graph based approach for automated selection of spare parts suitable for additive manufacturing: a railway use-caseTheresa Madreiter, Philipp Besinger, Sebastián Archila, Linus Kohl, Fazel Ansari · Cranfield University, 2024
  • Maintenance-free factory: a holistic approach for enabling sustainable production managementWilfried Sihn, Luisa Reichsthaler, Dániel Tóth, Linus Kohl, Lisa Greimel · In: WGAB 2023 · DOI
  • A modular federated learning architecture for integration of AI-enhanced assistance in industrial maintenanceLinus Kohl, Fazel Ansari, Wilfried Sihn · In: WGAB 2021 · DOI

Dissertation and thesis

  • Knowledge-based maintenance framework for smart manufacturing: advancing efficient planning and cognitive assistance to enhance system availabilityLinus Kohl · Doctoral dissertation, TU Wien, 2025
  • Design and development of automatic recommendation generation module of prescriptive maintenance model (AutoPriMa)Linus Kohl · Diploma thesis, TU Wien, 2019

Preprints

  • Combining process monitoring with text mining for anomaly detection in discrete manufacturingTobias Biegel, Nicolas Jourdan, Theresa Madreiter, Linus Kohl, Simon Fahle, Fazel Ansari, Bernd Kuhlenkötter, Joachim Metternich · CLF 2022 / SSRN, 2022 · DOI