CfP AI4DT 2026 Workshop on Artificial Intelligence for Digital Twins: Challenges and Best Practices
Gianluca Bontempi
AI4DT 2026
Workshop on Artificial Intelligence for Digital Twins: Challenges and Best Practices
(held at BNAIC/BeNeLearn 2026)
October 21, 2026 | Maastricht University, The Netherlands
https://ai4dt-workshop.github.io/2026/
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We are pleased to announce the first edition of AI4DT, the Workshop on Artificial Intelligence for Digital Twins: Challenges and Best Practices, to be held at Maastricht University, The Netherlands, on October 21, 2026, as part of the BNAIC/BeNeLearn
2026 conference.
A digital twin is a software/hardware system that tightly couples physical assets with real-time data, simulation, and AI-driven analytics, and is rapidly emerging as a foundational technology across industry, infrastructure, and science. This workshop brings
together researchers and practitioners to share recent advances in integrating AI into digital twin architectures, while critically examining the challenges, lessons learned, and best practices arising from real-world deployments.
The workshop aims to present and discuss original research on AI-enabled digital twins, identify open challenges and emerging best practices, and foster community building among Benelux and international researchers. Its intended audience includes researchers,
industry practitioners, students, and policymakers working at the intersection of AI and cyber-physical / digital twin systems.
- CALL FOR PAPERS -
This workshop has a particular focus on AI for Digital Twins. We welcome submissions on any of the AI topics covered by the main BNAIC 2026 conference, provided the work is relevant to, or has potential implications for, digital twins, cyber-physical systems,
or related intelligent systems. Topics include, but are not limited to:
- Modeling & Simulation: AI-driven modeling and simulation within digital twin architectures.
- Monitoring & Maintenance: Machine learning methods for real-time monitoring and predictive maintenance.
- Explainable & Trustworthy AI: Explainability and trustworthiness for digital twin applications.
- Multi-agent & Federated DTs: Multi-agent and federated approaches for distributed digital twins.
- Domain Applications: Manufacturing, smart cities, healthcare, energy, and other application domains.
- Evaluation & Benchmarks: Evaluation frameworks, benchmarks, and emerging best practices.
SUBMISSION TYPES
Full Submissions (max. 12 pages, excluding references)
- Original full papers: must be unpublished work.
- Transfers from related conferences: papers submitted to other venues that have not been accepted. Please attach the PDF of your previous submission, the reviews received, and a list of changes made to the current submission.
Research Highlights (1-2 pages, excluding references)
- Intended for PhD students, early-career postdoctoral researchers, and industry practitioners to present work that may not yet qualify for a full paper category but that represents an innovative idea or ongoing work.
SUBMISSION DETAILS
Reviews will be single-blind. All submissions should include the authors' names and affiliations. All contributions must be written in English, using the Springer CCIS/LNCS format, and submitted electronically through OpenReview (see
https://ai4dt-workshop.github.io/2026/).
Please submit a single self-contained PDF file. For full and short submissions, include links to any code/dataset you use; additional files should be placed in a repository (e.g., GitHub, GitLab) with the link specified under "Additional files."
Submission implies the willingness of at least one author to register for BNAIC/BeNeLearn 2026 and present in person at the conference.
Authors must disclose any use of generative AI tools in the preparation of their submission. Please review the full Generative AI Usage Disclosure policy on the workshop website.
JOURNAL PUBLICATION
Authors of selected FULL papers from the AI4DT workshop will be invited to submit extended versions to Digital Twins and Applications (IET/Wiley), subject to the journal's standard peer review process. Authors are encouraged to review the journal's Preprint
Policy prior to submission.
IMPORTANT DATES
July 15, 2026: Submissions open
August 31, 2026: Paper submission deadline
September 30, 2026: Notification of acceptance
October 9, 2026: Camera-ready submission
October 21, 2026: Workshop
SUBMISSION LINK
https://openreview.net/group?id=BNAIC-BeNeLearn/2026/Workshop/AI4DT
KEYNOTE SPEAKER
Dr. ing. Joost Mertens (University of Antwerp – Flanders Make, Belgium). Talk: "Engineering Digital Twins in the Age of AI"
WORKSHOP ORGANIZERS
Alejandro Morales Hernández (Université Libre de Bruxelles, Belgium)
Gianluca Bontempi (Université Libre de Bruxelles · WEL Research Institute, Belgium)
Susheel Nath (FARI – AI for the Common Good Institute · Vrije Universiteit Brussel, Belgium)
Gian Marco Paldino (Université Libre de Bruxelles, Belgium)
CONTACT
This workshop is supported by the WEL-T ULB MLG project "Enhancing Digital Twins with Scalable and Interpretable AI (EDITS)."