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Guangyan Huang is a leading researcher at the intersection of artificial intelligence and advanced manufacturing, with a primary focus on AI-augmented additive manufacturing (AI²AM). Her seminal work, the "Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing" (2026), has already garnered 3 citations, establishing a foundational framework for embedding AI as a central, intelligent driver of adaptive and autonomous 3D printing processes. Huang’s major contribution lies in redefining AI not as a peripheral tool but as the core architecture enabling real-time process optimization, defect prediction, and material innovation in digital fabrication. This visionary roadmap has positioned her as a key architect of next-generation manufacturing systems, influencing both academic research and industrial applications. Her work is particularly notable for bridging the gap between machine learning algorithms and practical additive manufacturing challenges, offering a systematic pathway toward fully autonomous production. With a growing citation impact and a forward-looking research agenda, Huang continues to shape the future of smart manufacturing, making her a vital voice for students and researchers exploring the convergence of AI and material science.