IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications.

A crossroads between academic researchers and software professionals, the magazine presents novel content from academic and industry experts on a wide range of topics, including applications, architectures, information management, middleware, policies, security, and standards.

In addition to peer-reviewed articles, IC features industry reports, surveys, tutorials, columns, and news.

Special Issue on Digital Twins
Submission Date: 2025-07-15

In 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.

IEEE Internet Computing magazine invites researchers and industry experts to contribute to our forthcoming special issue titled “Digital Twins”. 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.

Topics of interest include, but are not limited to:

 - Digital twin applications in sectors such as manufacturing, supply chain, aerospace, healthcare, transportation, construction, and energy
 - Architectures and frameworks for digital twin implementation in cloud, fog, and edge computing
 - Interoperability and data integration challenges in digital twin systems
 - Scalability and management of digital twin systems in distributed computing environments
 - Privacy, security, and trust in digital twin applications
 - Digital twins for network design and optimization in telecommunications
 - Simulation and real-time analytics in digital twins
 - Role of AI and ML in the evolution of digital twins for predictive analytics
 - Standardization and regulatory challenges for digital twins