Wenjuan Bai

Qingdao University of Science and Technology

Papers

Total Citations

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About

Wenjuan Bai is a leading researcher at the intersection of machine learning and advanced manufacturing, with a primary focus on 3D printing technologies. Her most-cited work, the 2024 review "Machine learning-driven 3D printing: A review," has already garnered 57 citations, establishing her as a key voice in the rapidly evolving field of intelligent additive manufacturing. Bai’s major contributions lie in synthesizing how ML algorithms—from neural networks to reinforcement learning—can optimize every stage of the 3D printing process, including material selection, print path planning, defect detection, and real-time process control. By bridging computational methods with physical fabrication, her research enables faster, more reliable, and more customized production, with implications for aerospace, biomedical devices, and consumer goods. Bai’s work is notable for its comprehensive, forward-looking perspective, offering a roadmap for integrating AI into manufacturing workflows. Her review serves as a foundational resource for both new researchers and industry practitioners seeking to harness data-driven approaches for next-generation 3D printing.