Claire Palmer

B.Sc., M.Sc. Computing, Ph.D, Eng.D.

Pronouns: She/her
  • Research Associate People-led Digitalisation
Staff profile image of Claire Palmer


Claire is a researcher at the Made Smarter Innovation: Centre for People-Led Digitalisation.   Her current role focuses on how digital manufacturing tools can be made more user-friendly facilitating a move ‘operating the equipment’ to ‘equipping the operator’. Her research career has seen her employed on several European and UK research projects, both academic and industrial.  Her previous role was industry-based, working with a team of developers and researchers to create a digital twin to facilitate the building of a Virtual Reality training application.

In former positions she has considered the use of reference ontologies to provide a common underlying information infrastructure for digital manufacturing; utilised data mining to discover the barriers that unemployed young people face; created an intelligent decision support system to aid those helping young people into employment; and developed a prototype automated Batch Hazop identification system.  

Her Ph.D. considered a method for creating equipment models for a computerized HAZOP application for continuous plants. 


  • B.Sc. 2 (i) Chemistry (major), Biology (minor), Leeds 
  • M.Sc. Computing, Loughborough 
  • Ph.D. Chemical Engineering, Loughborough 
  • Postgraduate Certificate with Distinction in Engineering, Innovation and Management, Loughborough 
  • Eng.D. Computer Science, Loughborough 

Key Awards

Certificate for highly cited research in Computers in Industry in recognition of the contribution to the quality of the journal made by: “A model-driven ontology approach for manufacturing system interoperability and knowledge sharing”. 

Research Interests: 

  • Artificial intelligence 
  • Process modelling and simulation, enterprise modelling and object oriented modelling 
  • Applications of knowledge discovery and data mining 
  • Ontologies and semantics 
  • Knowledge-based decision support systems 
  • Intelligent adaptive interfaces 
  • Intelligent manufacturing 

Reviewer for: 

  • International Journal of Computer Integrated Manufacturing 
  • International Journal of Production Research 
  • Reliability Engineering and System Safety 
  • Journal of Process Safety and Environmental Protection 
  • Transactions of the Institute of Measurement and Control 


  • Workshop Co-Organiser – “Developing Intelligent Decision Support Systems: Societal Challenges and Technical Strategies”, European Symposium Series on Societal Challenges in Computational Social Science 2017: Inequality and Imbalance, London, UK, November 15th-17th, 2017. 
  • Contributor to standard ISO 20534: Formal Semantic Models for the Configuration of Global Production Networks 

Current Project: 

Previous Projects: 

  • Flexinet: Intelligent Configuration Services for Flexible Dynamic Global Production Networks
  • ENLIVEN: Encouraging Lifelong Learning for an Inclusive and Vibrant Europe 


  • Palmer C., Roullier B., Aamir, M., McQuade, F., Stella, L. Anjum, A. and Diala, U., 2022. Digital Twinning Remote Laboratories for Online Practical Learning, Production and Manufacturing Research, 20(1), 519-545

  • Palmer, C. and Clancy, S. (2019), Computer-aided Decision Support to enable policy making in Lifelong Learning. In Lifelong Learning, Young Adults & the Challenges of Disadvantage in Europe, eds Holford, J., Boyadjieva, P., Clancy, S., Hefler, G. & Studená, I., Palgrave Macmillan, London. 

  • Chungoora, N., Young, R.I.M., Gunendran, A.G., Palmer, C., Usman, Z., Anjum, N.A., Harding, J.A.,  Case, K.A.,  and Cutting-Decelle, A-F., 2013, A model-driven ontology approach for manufacturing system interoperability and knowledge sharing, Computers in Industry, 64 (4), 392-401. Certificate awarded (2016) for highly cited research in recognition of the contribution by this paper to the quality of the journal.