[Apologies for cross-posting]
The first workshop on
AI for Digital Twins and Cyber-physical applications (AI4DT&CP)
Date: 19-21 August 2023
Web: https://ai4dtcp.github.io/<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4dtcp.github.io%2F&data=05%7C01%7Cgianfranco.lombardo%40unipr.it%7Ce6424ddebf1343ade16b08db2c652d0d%7Cbb064bc5b7a841ecbabed7beb3faeb1c%7C0%7C0%7C638152585289190100%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=FrajPVH8eZDm6NsLot%2FoKSg3T3h33NebzVWycIYCzQE%3D&reserved=0>
In conjunction with IJCAI 2023, 19-25 August 2023, Macao, S.A.R
Workshop Overview
The general advances in the Internet of Things (IoT) technology have led to the emergence of new applications that seamlessly blend the physical and digital worlds. Notwithstanding this trend, there are still open issues. A major one, due to the heterogeneity of the several models involved, is dealing with the complexity of the physical world to develop and deploy intelligent services that continuously perceive and learn from data coming from the environment. The idea gained traction among both academic institutions and industry players, revitalizing the Digital Twin technology that enables the creation of virtual replicas of physical objects by mirroring their properties, data,, and behaviors and enabling new intelligent and augmented functionalities such as learning, modeling, simulation, and cognitive capabilities.
We believe that Artificial Intelligence (AI) will transform the field of Digital Twin technology by enabling the creation of intelligent virtual replicas that may offer smart services and lead to adaptive AI in cyber-physical environments.
Digital Twin and cyber-physical systems can be enhanced with AI in several ways since AI enables real-time monitoring and control of physical systems with the possibility of delivering intelligent services with applications in several domains. At the same time, incorporating machine learning models into digital twin systems can be critical when monitoring or controlling critical systems. Machine Learning Operations (MLOps) approaches are attracting increasing interest to ensure that intelligent models are deployed robustly and reliably, especially when exploiting Continual Learning or Reinforcement Learning techniques.
The workshop aims to bring together experts in the fields of Artificial Intelligence, Digital Twin technology, and Cyber-Physical systems to explore the latest developments and best practices in the use of AI-based digital twins for a wide range of cyber-physical services and applications.
Topics of interest
Topics of interest include, but are not limited to, the following:
- What-if scenarios with Cyber-Physical applications
- MLOps in Cyber-Physical systems
- Digital Twin intelligence management
- Digital Twins modeling for AI for physical augmentation
- Cyber-Physical application and MLOps for anomaly detection
- Digital Twins for synthetic data generation in Cyber-Physical applications
- Predictive Maintenance in Cyber-Physical systems
- Intelligent Digital Twins for optimization use cases (Smart cities, smart buildings, environmental monitoring)
- Digital human replica with AI
- Cyber-Physical application with AI in healthcare
- Digital Twins for continual learning scenarios
- Reinforcement Learning in Cyber-Physical applications
Important dates
- Submission deadline: May 2, 2023
- Paper notification: June 4, 2023
- Camera-ready: July 5, 2023
- Workshop: August 19-21,2023
Submission
Papers must comply with the CEURART paper style (1 column) and can fall in one of the following categories:
* Full research papers (minimum 7 pages)
* Short research papers (4-6 pages)
* Position papers (2 pages)
The CEURART template can be found at:
https://it.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fit.overleaf.com%2Flatex%2Ftemplates%2Ftemplate-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org%2Fwqyfdgftmcfw&data=05%7C01%7Cgianfranco.lombardo%40unipr.it%7Ce6424ddebf1343ade16b08db2c652d0d%7Cbb064bc5b7a841ecbabed7beb3faeb1c%7C0%7C0%7C638152585289190100%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nESUFlUt7CcgY4ZSEZLyf2u2pCnyl5JNT9Z8wjvDKwQ%3D&reserved=0>
Papers can be submitted as PDF via EasyChair: https://easychair.org/my/conference?conf=ai4dtcp<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fmy%2Fconference%3Fconf%3Dai4dtcp&data=05%7C01%7Cgianfranco.lombardo%40unipr.it%7Ce6424ddebf1343ade16b08db2c652d0d%7Cbb064bc5b7a841ecbabed7beb3faeb1c%7C0%7C0%7C638152585289190100%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=DyTuhIaoOlFUAWuT2X7lRYKaj58vngQUCZBWSNO0gjw%3D&reserved=0>
Accepted papers (after blind review of at least 3 experts) will be included in a volume of the CEUR Workshop Proceedings. We are also planning to organize a special issue in a Q1 journal, and the authors of the most interesting and relevant papers will be invited to submit an extended manuscript.
At least one author of each accepted paper must travel to the IJCAI venue in person
Multiple submissions of the same paper to more IJCAI workshops are forbidden
Organization
Gianfranco Lombardo, University of Parma, Italy.
Marco Picone, University of Modena and Reggio Emilia, Italy
Diego Reforgiato Recupero, University of Cagliari, Italy.
Giuseppe Vizzari - University of Milano-Bicocca, Italy
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Dr. Gianfranco Lombardo, Ph.D
- Postdoctoral Research Fellow
- Adjunct Professor of “Big Data and Business Intelligence” 2021/2022 @Laurea Ingegneria dei sistemi informativi
Department of Engineering and Architecture
University of Parma
Parco Area delle Scienze 181/A
I-43124 Parma, Italy