The past several decades have seen rapid advances in diagnosis and treatment of
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …

Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more
personalised, intelligent, and proactive healthcare. With the evolution of personalised …

Digital twins need to adapt to changes in the physical system they reflect. In this paper, we
propose a solution to dynamically reconfigure simulators in a digital twin that exploits …

Digital Twins (DTs) can be constructed for many different applications, leading to substantial
differences between different case studies. To be able to learn from the challenges and …

Digital Twins (DTs) are built using modelling and simulation techniques in complex domains
such as cyberphysical systems. However, further formal investigation is required for how a …

Digital twin applications use digital artefacts to twin physical systems. The purpose is to
continuously mirror the structure and behavior of the physical system, such that users can …

In this paper we introduce an architecture for a cognitive digital twin that uses an ontology-
based knowledge graph to improve the analysis of manufacturing systems. The architecture …

The pace of reporting on Digital Twin (DT) projects continues to accelerate both in industry
and academia. However, these experience reports often leave out essential characteristics …

The systematic engineering of Digital Twins (DTs) requires the establishment of clear
methodologies supported by intelligent tooling. We propose an approach to guide the user …

Extracting rationale information from commit messages allows developers to better
understand a system and its past development. Here we present our ongoing work on the …