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About

Najmeh Samadiani is a pioneering researcher at the intersection of artificial intelligence and advanced manufacturing. Her work centers on AI-augmented additive manufacturing (AI2AM), where she reimagines 3D printing not as a static process but as an intelligent, adaptive, and autonomous system. Her most cited contribution, the "Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing" (2026), has already garnered 3 citations, establishing a foundational vision for embedding AI as a central framework—rather than a peripheral tool—in digital fabrication. This roadmap outlines how machine learning, computer vision, and real-time data analytics can transform additive manufacturing from a layer-by-layer process into a self-optimizing, error-correcting ecosystem. Samadiani’s impact lies in bridging the gap between computational intelligence and physical production, enabling printers to learn from each build, predict failures, and adjust parameters autonomously. Her work is particularly notable for its forward-looking synthesis of AI and materials science, offering a practical pathway toward fully autonomous factories. For students and researchers, Samadiani’s research represents a critical shift: manufacturing is no longer about programming machines, but about teaching them to think.