Publication date: Jan/Feb 2025
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:
Submissions with a focus on computing aspects such as data processing, algorithms, system design, and security would be preferred.
Manuscripts must be unpublished and not considered elsewhere for publication. Please follow the IEEE Internet Computing magazine’s submission guidelines for formatting and submission instructions. Each submission should not exceed 5000 words.
For more details and submission instructions, please visit the IEEE Internet Computing’s website.
Contact the lead guest editor at ziran@purdue.edu.
Guest Editors:
