Conference Information
Digital Twin 2022: IEEE International Conference on Digital Twin
http://www.ieee-smart-world.org/2022/digitaltwin/
Submission Date:
2022-09-20 Extended
Notification Date:
2022-10-15
Conference Date:
2022-12-16
Location:
Haikou, China
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Call For Papers
Digital twin, as a recent iconic phrases of fashions, has been coined and broadened somewhat in that it is now being extensively applied, or rather used, to characterize a variety of digital simulation models that run alongside real-time processes that pertain to social and economic systems as well as physical systems since its inception. It is even conceivable that latency between when data is received from the basic system and when the users closest to the system can use is often short enough to enable good corrective actions. Progress towards digital twins will surely enable us to gain ever deeper insights into the nature of reality and its virtual form. How close we can get to the real thing is a collective exploration we are about to embark upon as a society.

The 2022 IEEE International Conference on Digital Twin will provide a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-art advances and innovations on Digital Twin, as well as to identify emerging research topics and define the future of Digital Twin. We seek submissions of papers which invent new techniques, introduce innovative methodologies, and propose new research directions in advanced digital twin theories, methods, implementations, and applications.

Digital Twin 2022 topics include but are not limited to the following:

Track 1: Modeling & Simulation
– Data-driven digital twin modeling
– Mechanism-driven digital twin modeling
– Event driven simulation
– Multi-agent simulation
– Real-time simulation
– Distributed simulation
– Model-based system engineering
– Multi-disciplinary collaboration

Track 2: Technologies & Applications
– Physical entity perception
– Communications in digital twin
– Cyber-physical system for digital twin
– Data mining for digital twin
– Incremental learning methods
– Smart services/apps for digital twin
– Digital twin model reuse
– Digital twin model composition
– Metaverse with digital twin

Track 3: Evaluation & Optimization
– Verification, Validation, and Accreditation (VV&A) for digital twin
– Model Maturity analysis
– Online evaluation of digital twin
– White/Grey/Black box model evaluation
– Parameter optimization for digital twin
– Physical/Digital part optimization
– Digital twin model evolution

Track 4: System & Management
– Deployment of digital twin
– Database for digital twin
– Digital twin model library
– Multi-disciplinary model integration
– Digital twin management platform
– Cloud-edge-assisted digital twin
– Adaptive and intelligent systems for digital twin
– System of systems for digital twin
Last updated by Dou Sun in 2022-09-11
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