AI Driven Digital Twinning: A Trend Challenging the Future

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 273

Special Issue Editors


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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
Special Issues, Collections and Topics in MDPI journals

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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 Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent findings on digital twinning future trends position  Artificial Intelligence concepts, methods and tools as core drivers of digital twins' behavior, moving the digital twinning paradigm towards challenging heights of almost unlimited autonomy. Artificial Intelligence-driven digital twins upgrade a symbiotic relationship between physical and virtual spaces, transforming digital twins frameworks from simple simulation tools into active decision-makers.

However, the more proactive role demands the refinement of contemporary concepts, methods and tools, as well as the introduction of novel ones. At the same time, the trustworthiness question becomes increasingly sensitive, driving the further development of explainable and generative Artificial Intelligence within the broader context of complex sociotechnical systems.

Addressing these paradigmatic shifts and the related scientific and engineering challenges fully motivates this Special Issue.

Consequently, we encourage and equally welcome submissions that address either domain-independent or domain-dependent aspects of Artificial Intelligence-driven digital twinning.

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • digital twins
  • digital twinning
  • artificial intelligence-driven digital twinning
  • digital twins artificial intelligence engine
  • digital twinning artificial intelligence-agents

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Published Papers

This special issue is now open for submission.
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