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CALL FOR PAPERS
The First International Workshop on Data Driven and AI-Enabled Digital Twin
Networks and Applications (TwinNetApp) in conjunction with IEEE WCNC 2025,
Milan, Italy
https://wcnc25-twinnetapp.bcrg.uk/
https://wcnc2025.ieee-wcnc.org/workshop/ws09-twinnetapp-data-driven-and-ai-enabled-digital-twin-networks-and-applications
The next generation of technologies is envisioned to connect the physical
and digital worlds. In this regard, Digital Twins (DT) is an emerging
technology that has taken the world by storm due to its multiple benefits
and deployment in interdisciplinary applications ranging from real-time
remote monitoring to healthcare, industrial control systems and predictive
maintenance in aerospace. DT connects the physical and digital worlds by
building an accurate virtual replica of system objects in real-time.
Real-time network monitoring, performance testing, optimization, and fast
simulation are some examples that exploit DT advantages in the
communication domain and beyond. DT delivers a new generation platform to
analyse and test complex systems that are not currently available in
traditional simulations and evaluations. Therefore, the use of DT is
required in communication systems. Further, DT can deliver seamless
analysis, monitoring, and predictions between digital and virtual
counterparts of real-world systems, when it is used together with
next-generation mobile communications (5G/6G), Virtual Reality (VR),
Internet of Things (IoT), Artificial Intelligence (AI), Transfer Learning
(TL), 3D models, Augmented Reality (AR), distributed computing and
intelligent health applications. The workshop will invite authors to submit
papers presenting new research related to all aspects of DT networks,
systems and applications. Topics of interest include, but are not limited
to:
• Data-driven and IoT-based DT networks for real-time
communication systems
• Real-time communication protocols for DT networks
• DT-enabled health applications
• Wireless communications for cyber-physical DT applications
• Security and privacy concepts in DT
• Trustworthy AI enabled DT applications
• DT-assisted AI applications for smart cities
• Communications protocols for enabling DT deployment in
real-world applications
• AI applications of DT systems
• DT in Edge/Fog/Cloud Computing
• DT for enhanced Mobile Broadband (eMBB), massive Machine
Type Communications (mMTC), and Ultra Reliable Low Latency Communications
(URLLC) applications
• DT for resource management and network optimization
• Connected networking systems for environmental sensing
• DT for precision agriculture, smart city and industry 4.0
applications
• Real-world DT simulations, prototypes, and testbed
demonstrations
General Chairs
• Berk Canberk, Edinburgh Napier University, UK (
B.Canberk@napier.ac.uk)
• Octavia Dobre, Memorial University, Canada (odobre@mun.ca)
• Marco Di Renzo, Université Paris-Saclay, CNRS,
CentraleSupélec, Laboratoire des Signaux et Systémes, France (
marco.di-renzo@universite-paris-saclay.fr)
Keynote Speaker
• Trung Q. Duong, Memorial University, Canada (tduong@mun.ca)
Industrial Chair
• Gökhan Yurdakul, CEO - BTS Group, Turkey (
yurdakulg@btsgroup.com)
Important Dates
Submission Deadline: December 1, 2024
Notification of Acceptance: January 15, 2025
Camera Ready: February 1, 2025
Submission Details:
The page length limit for all initial submissions for review is SIX (6)
printed pages (10-point font) and must be written in English. Initial
submissions longer than SIX (6) pages will be rejected without review. For
further details please refer to
https://wcnc2025.ieee-wcnc.org/call-workshop-papers.
Submission Link:
https://edas.info/newPaper.php?c=32909&track=127537
Best Paper Award:
The workshop will feature a Best Paper Award with a cash prize of 800
Dollars, sponsored by BTS Group (https://btslabs.ai/).
--
Kind regards,
Khayal Huseynov
PhD Candidate
Edinburgh Napier University, UK
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