Systematic Digital Twin Reporting
Bentley Oakes
Polytechnique Montréal, Canada
This talk will overview my research on systematizing the reporting of Digital Twins (DTs) in papers and experience reports. The motivation for such a reporting framework is to aid both research and practice in DT engineering, by listing 21 DT characteristics which we believe describe what someone’s DT is and what it does. For example, these characteristics include such aspects as the time-scale in communication, the DT validity and fidelity, the evolution of the DT project over time (including milestones), and privacy concerns. Our hope is that by providing these characteristics and examples of DT reporting, that future DT reporting can become more systematic and automated. In turn, we aim to have an impact on both DT engineering research and practice.
This talk will briefly motivate the reporting framework, overview the characteristics, mention examples of detailed reports, and present future work. The aim of this presentation is to introduce researchers and practitioners to these 21 characteristics for understanding how to use the reporting framework to systematically, easily, and comprehensively describe DTs.
Speaker bio: Dr. Bentley Oakes is an Assistant Professor in the Department of Software and Computer Engineering at Polytechnique Montréal, Canada. Polytechnique Montréal is affiliated with the Université de Montréal and the Quebec Artificial Intelligence Institute (Mila).
Dr. Oakes’s research focuses on enabling domain experts to efficiently capture and utilise their knowledge through a model-driven approach to support knowledge engineering for complex cyber-physical systems. Specific topics include digital twins (including their structure, construction, and reporting), representations of domain-specific knowledge (such as in ontologies), and verification and validation of cyber-physical systems, including formal verification.