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About

Dageon Oh is a leading voice at the intersection of artificial intelligence and advanced manufacturing, with a primary focus on AI-augmented additive manufacturing (AI²AM). His seminal work, the 2026 “Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing,” has quickly garnered 3 citations and established a foundational framework for embedding AI not as a peripheral tool, but as a central, intelligent core driving adaptive and autonomous 3D printing processes. Oh’s major contribution lies in redefining digital fabrication: he envisions a future where machine learning algorithms dynamically optimize print parameters in real-time, detect anomalies, and self-correct during production—transforming additive manufacturing from a static, trial-and-error process into a responsive, cognitive system. This roadmap has become a critical reference for researchers and engineers seeking to integrate deep learning, computer vision, and reinforcement learning into production workflows. By articulating both the technical challenges and transformative potential of AI²AM, Oh has positioned himself as a key architect of the next generation of smart factories, where machines learn, adapt, and improve autonomously.