Digital Twinning: Trends Challenging the Future

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 November 2025 | Viewed by 49

Special Issue Editors


E-Mail Website
Guest Editor
Center Novi Sad, University Singidunum Belgrade, 21000 Novi Sad, Serbia
Interests: model-driven software engineering; meta-modeling; digital twin frameworks; digital transformation; enterprise information system design; higher education management; curriculum design frameworks; higher education accreditation frameworks; engineering education

E-Mail Website
Guest Editor
Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: engineering animation; 2D and 3D visualization; simulations; user interface and user experience; computer graphics; game design; digital twin frameworks; digital transformation; engineering education

Special Issue Information

Dear Colleagues,

Digital twinning has matured thanks to its profound proliferation across diverse human activity domains. Therefore, we believe contemporary digital and virtual twinning trends will challenge the future more than the future will challenge them. It is not about how the future will streamline digital twinning but how digital twinning will transform the future. This paradigmatic shift drives this Special Issue's attitude. Specific topics of interest include, but are not limited to, the following: 

  • Machine learning and artificial intelligence empowering;
  • Human digital twins;
  • Digital twinning-integrated development environments and DevOps;
  • Digital twin software;
  • Hyper-asset twinning (system-of-systems, cyber–physical systems; socio-technology systems);
  • Modeling and simulations, fidelity and synchronization challenges, complexity reduction, network digital twins, digital twin definition language;
  • Repository management, smart data protection, security and privacy;
  • Standardization, services, and interoperability issues;
  • Real-time decision making through edge computing (automotive, robotics, metaverse, agent-based);
  • Domain-specific digital twinning challenges in the following smart applications:
    • Manufacturing;
    • Cities and communities;
    • Education (teaching, learning, training, and performing);
    • Healthcare;
    • Logistics;
    • Communications (4G, 5G, and 6G);
    • Space industry;
    • Agriculture;
    • Arts and engineering animation.

Prof. Dr. Branko Rade Perišić
Dr. Ana Perišić
Guest Editors

Manuscript Submission Information

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Keywords

  • digital twins
  • virtual twin
  • edge computing
  • digital twinning
  • digital twin frameworks
  • digital twin technology
  • domain-specific digital twinning

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