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Publication date:<\/strong> Jan\/Feb 2025<\/span><\/p>\n\nIn the dynamic landscape of the era of Industry 4.0, digital twins stand as a transformative technology that bridges physical systems with their digital replicas. This emerging technology introduces a new wave of predictive analytics and operational optimization across diverse sectors. As the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) advance, digital twins promise to redefine industrial practices with increasing impact.<\/span><\/p>\nIEEE Internet Computing<\/em> magazine invites researchers and industry experts to contribute to our forthcoming special issue titled \u201cDigital Twins\u201d. This issue will explore the intersection of digital twin technology with IoT, advanced computing, big data, cybersecurity, and other related topics. Submissions should provide insights into the design, implementation, and enhancement of digital twins and are encouraged to spotlight novel computational methods, inventive system architectures, and significant case studies that illustrate the use of digital twins in improving operational efficiency.<\/span><\/p>\nTopics of interest include, but are not limited to:<\/strong><\/p>\n\n- Digital twin applications in sectors such as manufacturing, supply chain, aerospace, healthcare, transportation,\u00a0 construction, and energy<\/span><\/li>\n
- Architectures and frameworks for digital twin implementation in cloud, fog, and edge computing<\/span><\/li>\n
- Interoperability and data integration challenges in digital twin systems<\/span><\/li>\n
- Scalability and management of digital twin systems in distributed computing environments<\/span><\/li>\n
- Privacy, security, and trust in digital twin applications<\/span><\/li>\n
- Digital twins for network design and optimization in telecommunications<\/span><\/li>\n
- Simulation and real-time analytics in digital twins<\/span><\/li>\n
- Role of AI and ML in the evolution of digital twins for predictive analytics<\/span><\/li>\n
- Standardization and regulatory challenges for digital twins<\/span><\/li>\n<\/ul>\n
Submissions with a focus on computing aspects such as data processing, algorithms, system design, and security would be preferred.<\/span><\/p>\n\nSubmission Guidelines<\/h3>\n
Manuscripts must be unpublished and not considered elsewhere for publication. Please follow the IEEE Internet Computing magazine\u2019s submission guidelines for formatting and submission instructions. Each submission should not exceed 5000 words.<\/span><\/p>\nFor more details and submission instructions, please visit the IEEE Internet Computing\u2019s<\/em> website<\/span>.\u00a0<\/span><\/p>\n\nQuestions?<\/h3>\n
Contact the lead guest editor at ziran@purdue.edu<\/strong>.<\/span><\/strong><\/p>\nGuest Editors:<\/span><\/p>\n\n- Ziran Wang (lead guest editor), Assistant Professor, Purdue University<\/span><\/li>\n
- Michael Grieves, Executive Director, Digital Twin Institute<\/span><\/li>\n
- Yonggang Wen, Professor, Nanyang Technological University<\/span><\/li>\n
- Fan Xue, Associate Professor, The University of Hong Kong<\/span><\/li>\n<\/ul><\/div>\n
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