posted by user: AHAKIRI || 1547 views || tracked by 2 users: [display]

DT4NGN-IoT 2023 : The 1st International Workshop on Digital Twins for Next Generation Networks & Real-Time IoT Systems Beyond 5G (DT4NGN-IoT)

FacebookTwitterLinkedInGoogle

Link: https://isorc.github.io/2023/html/workshop.html
 
When May 25, 2023 - May 25, 2023
Where Nashville, TN, USA
Submission Deadline Mar 20, 2023
Notification Due Apr 7, 2023
Final Version Due Apr 20, 2023
Categories    digital twins   IOT   next generation internet   industry 5,0
 

Call For Papers

Digital twins, which are a virtual representation of real-world physical entities, have received significant interest from both the research and industrial communities. Initially, the concept of twins was introduced by the United States National Aeronautics and Space Administration (NASA) Apollo program in the 1970s, where virtual replicas of space vehicles on Earth were built to mirror the condition of the equipment during the mission. Then, the concept of Digital Twin was introduced to John Vickers by Michael Grieves in the Product Lifecycle Management (PLM) as a virtual instance (twin) of a physical system.

The main goal of this half day workshop is to address these challenges and present advanced and innovative tools, design and modeling techniques, and algorithms for diverse Real-Time Distributed IoT applications and services. Contributions addressing both theoretical and practical applications, including, but not limited to, the following topics, are welcome for submission:

DT as a New Frontiers for Future Networks
Emerging Cloud, Edge, Fog, and Embedded ML for Digital Twin
Middleware Technologies for Network Digital Twins
Network Digital Twin in IoT
Federated learning, TinyML, and Edge AI for Real-Time Control in DTs
Intelligent Edge, Fog and Cognitive aspects of DTs beyond 5G
DT for Software-Defined Networks and Network Virtualization
AI/ML-Powered DT Virtualization for IoT Beyond 5G Networks
5G-Powered Digital Twin for Cellular and Mobile Networks
DT-based efficient resource allocation in 5G and 6G
DT-aware resource allocation and task scheduling in IoT networks
Blockchain-based trust mechanism for Digital Twin in Real-Time IoT
Traceability supported by distributed ledgers for DT emerging Networks
DT-enabled Cybersecurity and Privacy-Preserving for 5G and beyond
AI-Powered Digital Twins for Anomaly Detection and Localization
DT for Complex Systems in Big Data and Cognitive Computing
DT Modeling and Simulation, Ontology, UML, SYSML, Model-Driven Engineering
DT with Model Driven Systems Engineering

Digital Twin in IoT Application Domains, such as (but not limited to):
AR/VR, 6G, XR and the Metaverse
Smart Cities, Metaverse, Future Transportation Systems, Connected Vehicles, UAV, Connected Drones
Smart farming and Smart Agriculture, Agri-Food Sector, Integrated Energy Systems,
Construction Industry, industry 3D Visualization Platforms, Industrial Product's Manufacturing
Spinning Intelligent Factory, Robotics, Electric Vehicle, Structural Integrity
Supply Chains, Smart Production and Logistics, DT in Zero Defect Manufacturing, Predictive Maintenance
Healthcare and precision medicine, Digital Therapeutics, etc.
Transition towards Smart Factories and Smart Manufacturing
Recent Developments and Future Perspectives of DT-enabled Smart Industrial Systems
Transdisciplinary approaches to digital manufacturing for Industry 4.0
Predictive maintenance mechanism of the DT in industrial manufacturing

Submission and Publication Guidelines:
Authors are invited to submit original, unpublished research papers. Papers must be written in English and strictly following IEEE style. The IEEE conference paper templates can be found here. Papers must be submitted in PDF format via the electronic submission system through the HotCRP system. All accepted paper will be indexed and published in the IEEE Explore repository.

Two types of submissions are accepted:
Regular Research papers: contributions should describe original work (up to 6 pages including all text, figures, references, and appendices).
Short Papers and position papers: ​Research in progress, tools presentations, and new ideas ​(up to 4 pages including all text, figures, references, and appendices).
Submitted papers will be evaluated according to their rigor, significance, originality, technical quality and exposition, by at least three distinct members of an international program committee. At least one author of each accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions, and procedures of the main conference .

Extended version:
Best selected papers based on the review process will be invited to submit extended versions to the Special Issue of the Elsevier Journal (IF 7.307, Cite Score 18.7) of Future Generation Computer Systems (FGCS) on Digital Twin for Future Networks and Emerging IoT Applications.


Important Dates:
Submission deadline: March 07, 2023
Authors’ decision notification: April 07, 2023
Camera-ready deadline: April 20, 2023
Workshop date: May 25, 2023

KEYNOTE SPEAKERS:
Coming Soon

PROGRAM COMMITTEE:
Akram Hakiri, University of Carthage, Tunisia
Aniruddha Gokhale, Vanderbilt University, USA

Related Resources

MIDas4CS 2025   Third Workshop on the Modelling and Implementation of Digital Twins for Complex Systems
RSEJ 2025   Renewable and Sustainable Energy: An International Journal
CSEIT 2025   12th International Conference on Computer Science, Engineering and Information Technology
IEILM 2025   The 2nd Workshop on Integrating Edge Intelligence and Large Model in Next Generation Networks
IJNGN 2025   International Journal of Next - Generation Networks
ICNS3 2025   The International Conference on ns-3
IoTI5 2025   7th International Workshop on IoT Applications and Industry 5.0
IoTBDS 2025   10th International Conference on Internet of Things, Big Data and Security
NGISE 2025   1st International Conference on Next Generation Information System Engineering
SMART ACCESSIBILITY 2025   The Tenth International Conference on Universal Accessibility in the Internet of Things and Smart Environments