It is my pleasure to welcome Dr. Enxhi Ferko (Digital Twin Specialist at Jotne Connect) as a guest lecturer in my Engineering Digital Twins course at McMaster University (CAS 782) this coming Tuesday.
In her talk Digital Twins and Interoperability: A Tale of Two Cities – Academia and Industry, Dr Ferko will talk about her research on digital twin interoperability and some of her current industry cases.
When: March 10 at 1PM-2:30PM ET
Where: https://lnkd.in/giMJCBJN
(Or in person in ITB 201. The talk will be streamed online from Sweden.)
Tune in if you are interested!
Bio. Enxhi Ferko is a Digital Twin Specialist at Jotne Connect, where she works on customer, internal, and R&D projects focused on standards-based, interoperable digital twin solutions. She advises on digital twin technologies both strategically and technically, contributes to product development, supports pre-sales activities, and collaborates with industrial partners.
She earned her PhD from Mälardalen University, where her research addressed interoperability in digital twin systems through model-driven engineering and standardization. Enxhi has served as an expert member of the Swedish Institute for Standards, SIS (SIS/TK 280) and is currently a member of PDES, Inc. She remains active in academia, organizing workshops at the intersection of model-driven engineering and software architecture (e.g., MDE4SA) and serving as a program committee member for several venues in digital twins, model-driven engineering, and software architecture.
Abstract. Digital twins are transforming industries by enabling real-time monitoring, predictive analytics, and intelligent decision-making. However, their adoption remains challenging due to fragmented architectures, limited standardization, and persistent interoperability issues.
From an academic perspective, this talk provides insights into digital twin architectures, highlighting challenges in aligning with ISO 23247 and limitations of current interoperability solutions, drawing on findings from systematic studies, industry surveys, and expert interviews. It further explores how model-driven engineering techniques can support seamless data integration and improve digital twin interoperability, contributing to more scalable and standardized digital twin ecosystems.
From an industrial perspective, the talk presents digital twin use cases to illustrate how interoperability is addressed in practice through open standards (ISO 10303), recommended practices, and consortium-driven approaches.