Call for Papers: Engineering Informatics and Intelligent Systems invites submissions for its inaugural volumes.
We seek rigorous and forward-looking contributions on trustworthy, knowledge-embedded, and deployable AI across the engineering lifecycle. Relevant topics include engineering knowledge graphs, ontologies, expert systems, neuro-symbolic AI, physics-informed learning, multimodal engineering intelligence, digital twins, grounded LLMs for engineering workflows, intelligent inspection and maintenance systems, code and compliance checking, resilient infrastructure analytics, and benchmark design for engineering AI.
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