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About

Yanzhou Fu is a pioneering researcher at the intersection of artificial intelligence and advanced manufacturing, whose work is redefining the future of digital fabrication. His primary research areas encompass artificial intelligence-augmented additive manufacturing (AI²AM), intelligent process optimization, and autonomous production systems. Fu’s major contribution lies in conceptualizing a paradigm where AI is not merely a supplementary tool but the central, adaptive framework driving additive manufacturing. His seminal work, the "Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing" (2026), has rapidly garnered 3 citations, establishing a foundational vision for embedding intelligence, adaptability, and autonomy into 3D printing processes. This roadmap outlines critical pathways for integrating machine learning, real-time monitoring, and closed-loop control, promising to revolutionize industries from aerospace to biomedical engineering. Fu’s research is notable for its forward-looking synthesis of computational methods with physical fabrication, positioning him as a key architect of the next generation of smart factories. His work continues to inspire researchers and students exploring the convergence of AI and manufacturing.