Our paper on Digital Twins for Cyber-Biophysical Systems: Challenges and Lessons Learned, co-authored with Eugene Syriani and Houari Sahraoui; our students, Pascal Archambault, Quentin Wolak, and Cong Vinh Vu; and our industry partners, Timothé Lalonde and Kashif Riaz of Ferme d’Hiver Technologies has been accepted for the ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems, the flagship conference series for model-driven software and systems engineering. Pre-print available.
Digital twinning is gaining popularity in domains outside of traditional engineered systems, including cyber-physical systems (CPS) with biological modalities, or cyber-biophysical systems (CBPS) in short. While digital twinning has well-established practices in CPS settings, it raises special challenges in the context of CBPS. In this paper, we identify such challenges and lessons learned through an industry case of a digital twin for CBPS in controlled environment agriculture.
Our paper contributes to a rapidly growing body of knowledge as digital twinning is expected to shape biological and biophysical domains. While digital twinning has well-established practices in domains with engineered systems, digital twins for biophysical systems are limited to prototypes and proofs of concepts. This paper aims to guide researchers and practitioners with high value-added industry takeaways in steering and scoping their digital twinning endeavors.