The inaugural workshop on Industrial Metaverse and Digital Twins (IMDT'24) aims to convene researchers, practitioners, and industry experts to share and discuss latest developments at the intersection of Metaverse and Edge computing. The Industrial Metaverse promises groundbreaking solutions characterized by high-fidelity visualization, immersive experiences, and real-time collaboration for users disbursed around the globe. These solutions span a wide range of domains such as manufacturing, transportation, training, healthcare, and smart cities. However, the realization of these solutions requires researchers and practitioners to address and overcome challenges at the edge device (XR devices) and network levels. These challenges encompass scalability, interoperability, data management, latency, security, privacy, safety, and power consumption.

Submission Guidelines

Papers describing timely research contributions in areas of interest are solicited. Papers reporting on initial results or work in progress and papers discussing mature research projects or case studies of deployed systems are sought out. Submissions describing big ideas that may have a significant impact and could lead to interesting discussions at the workshop are encouraged.

Authors should follow the IEEE guidelines when preparing their contributions (maximum paper length: 6 pages with 10-pt font), IEEE Standard template for Latex and Word meet these specifications and can be found at:

https://www.ieee.org/conferences/publishing/templates.html

Submission website:

https://easychair.org/conferences/?conf=imdt2024

At least one of the authors of each paper accepted must register for the workshop

List of Topics

• Industrial Metaverse case studies, and experiences
• Barries to large-scale adoption
• Peer to peer virtual space synchronization
• Blockchain applications in the Industrial Metaverse
• AI and machine learning for the Industrial Metaverse
• XR software and app development challenges
• Digital twin with cloud/edge computing
• Resource limitation of XR devices
• Digital twins for software systems
• Digital twin networks
• Data-Driven digital twin modeling
• Digital twin for industrial IoT, smart cities, and intelligent vehicles
• Digital twin as an enabler of 5G/6G applications and services
• Industrial Metaverse infrastructure and implementation
• Security and privacy issues in the Industrial Metaverse

Organizing commitee

• Safwan Omari, Lewis University, USA
• Jaime Lloret, Universitat Politècnica de València, Spain
• Yaser Jararweh, Jordan University of Science and Technology, Jordan
• Gregorio Martinez Perez, University of Murcia, Spain
• Anastasija Nikiforova, University of Tartu, Estonia
• Xu Bo, Lewis University, USA
• Ziad Al-Sharif, Lewis University, USA
• Jake Cho, Lewis University, USA
• Mohammad Wardat, Okland University, USA

Venue

The workshop will be co-located with the 9^th  ACM/IEEE Symposium on Edge Computing (SEC), December 4-7, 2024, in Rome, Italy.

Contact

All questions about submissions should be emailed to omarisa@lewisu.edu