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Digital twins promise tremendous potential to better understand and make use of cyber-physical systems in automotive, avionics, manufacturing, medicine, and many more domains. Despite many of the twinned systems being developed using models, engineering digital twins currently is ad-hoc and demands integrating different piecemeal technologies, which effectively hinders the application of digital twins. The focus of many digital twins and frameworks to create digital twins is on data acquisition and visualization via dashboards. Current research on digital twins focuses on specific implementations (bottom-up) or abstract models on how digital twins could be conceived (top down). Yet, there is a huge gap between both views that only research on model-driven engineering (MDE) can reduce. Hence, MDE is crucial to fully and systematically leverage the potential of digital twins. Currently, a venue bringing together experts from the modelling community on this topic is missing: ModDIT’21 brings together researchers on and developers of digital twins come together to shape the future of systematically designing, engineering, evolving, maintaining, and evaluating digital twins.
Topics of interest include, but are not restricted to:
The following types of submissions are solicited:
Submissions must adhere to the ACM formatting instructions, which can be found at https://www.acm.org/publications/proceedings-template for both LaTeX and Word users. LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., \documentclass[sigconf,review]{acmart}), and use the ACM reference format for the bibliography (i.e., \bibliographystyle{ACM-Reference-Format}). The review option adds line numbers, thereby allowing referees to refer to specific lines in their comments.
Submissions must be made via EasyChair. Submissions that do not adhere to these limits or that violate the formatting guidelines will be desk-rejected without review. Accepted papers will be published in the workshop proceedings published of MODELS. Selected papers from the workshop will be invited to revise and submit extended versions of the papers for publication in a well-known journal.
We are pleased to annouce that the workshop will have two keynotes.
Dr. Marie-José Montpetit will give a keynote entitled “Digital twinning in distributed systems: bringing data and models together”.
Abstract: The trend towards system softwarization is accelerating, driven by powerful computing power at the edge and in the cloud, broadband everywhere and the increasing use of machine learning and artificial intelligence in decision making. Novel application range from networking, medicine, advanced manufacturing and precision agriculture amongst other. In that context, digital twins based on powerful cyber-physical modeling, are now used in performance evaluation, hypothesis testing and decision support systems everywhere. They reach beyond traditional simulators that relied on hardware components, and include goal-driven analysis and re-enforcement learning. At the same time, sensors are now gathering large amounts of data that contain a system’s response to specific stimuli. Statistical modelling allows to indentify key system variables and infer both long term and short term behaviour and deep learning identifies the best condition for operating the systems. The data validate the twins and in return the twins enable more data to be generated. The presentation will focus on a specific use case of modeling and data analysis in the context of a distributed machine learning system in controlled environment agriculture.
Dr. Marie-José Montpetit is a well known researcher in Internet of Things, distributed networking and computing in the network. Her current interests englobe how artificial intelligence is impacting these fields and how in particular to apply AI to industrial and networking systems. She is an affiliate professor at Concordia University in Montreal and at Telecom-Paris Sud and a consultant to Iowa State university. She is also a lead designer at Ferme d’Hiver a Montreal region startup in controlled environment agriculture.
Prof. Érik Poirier and Prof. Ali Motamedi will give a keynote entitled “Digital twins for the built environement: challenges, opportunities and the way forward”. (Abstract and short biographies will be added later.)
Abstract: The increasingly tight coupling of digital and physical worlds in the built environment is unlocking tremendous potential for real, positive, and long-lasting impact. As with many nascent technologies, however, this tremendous potential is either obscured or depleted by a lack of formal constructs, models and instantiations. Looking at other domains, the built asset industry can learn much to accelerate its transition. This presentation will cover the application of the concept of Digital Twins in the built environment. It will start with an overview of key research and development in the field. It will then present some concrete applications of the concept and its implementation within the built asset industry. It will finish with a discussion on potential research avenues. Attendees will be able to better understand the research, development and application of Digital Twins for the built environment.
Gijs Walravens, Hossain Muhammad Muctadir and Loek Cleophas. Virtual Soccer Champions: a case study on artifact reuse in soccer robot Digital Twin construction
Richard Somers, Andrew Clark, Neil Walkinshaw and Robert Hierons. Reliable Counterparts: Efficiently Testing Causal Relationships in Digital Twins
Nikolena Christofi and Xavier Pucel. A Novel Methodology to construct Digital Twin Models for Spacecraft Operations using Fault and Behaviour Trees
Loek Cleophas, Thomas Godfrey, Djamel Eddine Khelladi, Daniel Lehner, Benoit Combemale, Mark van den Brand, Michael Vierhauser, Manuel Wimmer and Steffen Zschaler. A Community-Sourced View on Engineering Digital Twins: Report from the EDT.Community
Stefan Höppner, Matthias Tichy, Florian Ege, Sarah Stieß and Steffen Becker. Coordination and Explanation of Reconfigurations in Self-adaptive high-performance Systems
Randy Paredis and Hans Vangheluwe. Towards a Digital X Framework Based on a Family of Architectures and a Virtual Knowledge Graph
Yining Huang, Saadia Dhouib, Luis Palacios Medinacelli and Jacques Malenfant. Enabling Semantic Interoperability of Asset Administration Shells Through an Ontology-based Modeling Method
Paula Muñoz, Manuel Wimmer, Javier Troya and Antonio Vallecillo. Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin
Philipp Grimmeisen, Andreas Wortmann and Andrey Morozov. Case Study on Automated and Continuous Reliability Assessment of Software-Defined Manufacturing based on Digital Twins
The workshop is schedule on Tuesday October 25th. All times are in Eastern Daylight Time (EDT).