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.

We particularly encourage submissions that connect methodological innovation with real engineering value, including papers that address interpretability, uncertainty, operational boundaries, governance, verification, and human-AI collaboration.

EIIS welcomes contributions from both academia and industry.