ADoCS 2022

A one-day summit of invited and refereed talks on digital twins for climate & sustainability

Digital twins are digital representation of a physical products or processes where a real object exchange data with a virtual counterpart. Digital twins become possible due to the availability of real time stream of Internet of Things sensor data, large scale physical and engineering simulations and massive volume of data that enable AI model training. The volume and quality of data makes digital twins a “virtual digital sandbox” for testing scenarios, efficient AI model testing and accelerated insight in complex system behaviors. Specifically, AI models can be applied to digital twins both to learn, to control and to predict future behavior before a product or process is implemented. Physics constrained Artificial Intelligence Networks and surrogate AI models can be applied in digital twins to ensure physical consistency, to enforce explainability and to speed up AI model training and deployment. Current initiative of digital twin spans from modeling airplane design to create digital replicas of the Earth, like the “Destination Earth” initiative. Most approaches are combinations of petabyte of data generated by Internet of Things, satellite data, weather/ climate models and/or physical simulations but currently they require extensive computations and data storage. This workshop will discuss the role of big data architecture and processing, ideal connection of data with AI models, efficient simulations of complex and multiscale processes and the requirement for building, testing and validating digital twins.

We invite submissions of workshop proceedings papers including but not limited to the following topics:

• Building digital twins by digitizing physical product and processes

• Predictive AI model design and development

• Real time data integrity, quality, and reliability check using AI modeling

• Massive data fusion from heterogeneous sources and processing technologies

• Object recognition / detection for integration in digital twin architecture

• Emerging technologies in remote sensing and mapping and integration in Earth weather, climate models

Let us know if you'll be attending!