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Dr Lillian Hella

Digital Transformation Consultant

Dr Hella has extensive experience in enhancing data interoperability and information quality within the energy sector. She is passionate about innovation and efficiency, particularly in high-risk industries.

About Dr Hella

Lillian is a Digital Transformation Consultant, supporting the energy industry with project and asset information management, data interoperability and information quality. She is the project leader for DNV’s recommended practice for asset information modelling framework (DNV RP-0670).

Her niche is aiding high-risk, asset-heavy industries with digital asset information management to enable more efficient work processes throughout the asset lifecycle and to facilitate better decision-making. Lillian’s dedication to enhancing data interoperability and information quality has made her a trusted advisor in the digital transformation landscape, driving innovation and efficiency in high-risk industries.

Key expertise includes project management, information modelling, ontology engineering and semantic web technology.

 

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Dr Lillian Hella

It is incredibly exciting to collaborate with the industry to develop future solutions, transitioning from a document-oriented to a data-centric way of working; a shift that can reduce costs, improve work processes, enhance data quality and eventually lead to better decisions.

  • Dr Lillian Hella

Martín-Recuerda, F., Walther, D., Eisinger, S., Moore, G., Andersen, P., Opdahl, P.-O., & Hella, L., 2020. Revisiting Ontologies of Units of Measure for Harmonising Quantity Values – A Use Case.

Hella, L. & Krogstie, J., 2014. Using Semantic Web for Mobile Services Personalization.

Hella, L. & Krogstie, J., 2011. Personalisation by semantic web technology in food shopping.

Hella, L. & Krogstie, J., 2010. A Structured Evaluation to Assess the Reusability of Models of User Profiles.

Hakkarainen, S., Hella, L., Strasunskas, D. and Tuxen, S., 2006. A Semantic Transformation Approach for ISO 15926.

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Norwegian University of Science and Technology (NTNU)

PhD in Computer and Information Science

Master of Technology in Computer Science