We cordially invite submissions of various types of papers at the intersection of AI and critical infrastructures, e.g., energy, railways, airspace, highways, water and wastewater, ICT, emergency services, and more. We encourage contributions from researchers across diverse disciplines, including but not limited to Computer Science, Engineering, Physics, Control Theory, Dynamical Systems, Cognitive Engineering, Decision Theory, and Social Sciences.
Contributions related to power systems are encouraged to be submitted to the Machine Learning for Sustainable Power Systems (ML4SPS) workshop, provided they align with its scope.
Topics of interest include, but are not limited to:
· Supervised, semi-supervised learning, unsupervised, online learning, active learning, and transfer learning
· Reinforcement learning approaches tailored to diverse human-AI interaction paradigms, e.g., human-assistant collaboration, co-learning frameworks, and autonomous systems with robust safety guarantees
· Inverse reinforcement learning
· Physics-informed machine learning
· Neuro-symbolic learning
· Conformity assessment and certification of AI-based systems
· Design of human-AI interfaces and collaboration
· Data-driven simulation and digital twins of infrastructures
· Explainability and interpretability
· Ethics
· Human factors in AI
· Design of socio-technical systems
· Libraries, tools, testing and experimentation facilities for all the above areas
We welcome many types of papers, such as, but not limited to:
· Original research
· Work-in-progress papers
· Position papers
· Open-source libraries and datasets
· Lessons learned from pilot projects
· AI testing and experimentation facilities
· Relevant work that has been previously published
NEW Paper Submission deadline: June 14, 2025 June 21, 2025 June 30, 2025
Accept/Reject Notification: July 14, 2025
Camera-ready deadline: July 31, 2025
Workshop: September 15, 2025 (afternoon)
Papers should be written in English and formatted according to the Springer LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Use this Word or LaTeX template to prepare your submission.
Authors should clearly specify in their abstracts the type of submission their paper represents, ensuring reviewers can better understand and evaluate their contributions. Submissions must be in PDF format, long papers no more than 12 pages long, short papers no more than 8 pages long. References and appendix do not count towards the page limit.
Submissions should be made through the workshop's CMT submission page HERE.
The Workshops will be included in a joint post-workshop proceeding published by Springer Communications in Computer and Information Science, in 1-2 volumes, organized by focused scope. Papers authors will have the faculty opt in or opt out for publication.
The program committee will review all submissions, and accepted papers will be presented at the workshop. At least one author of each accepted paper must have full registration and be in-person at the conference to present the paper. The post-workshop Springer proceedings won't include papers without full registration or in-presence presentation. No additions or deletions to the author's list may be made after paper submission, either during the review period or at the final camera-ready stage in case of acceptance.
For any question/doubt, please contact: ai4realnet@inesctec.pt