On Tuesday, April 11, 2023, VIAN-Advanced Material together with VNU Scientist Links and Vietnam Advanced Math Institute organized a public lecture on “Data-driven 3D printing technology: Interdisciplinary research cooperation” given by Prof. Hung Nguyen Xuan (H. Nguyen-Xuan) the Director of CIRTech Institute, HUTECH University, Vietnam.
The hybrid event was held at Amphitheatre Laurent Schwartz Hall of Vietnam Institute for Advanced Study in Mathematics, 157 Chua Lang Street, Hanoi and on Zoom platform.
In the authors’ current work, they have developed mathematical models and deep learning techniques for the 3D printing cycle [1]. Our approaches [1,2] can be applied to various stages, including data preprocessing, data normalization, data analysis, printing process normalization, printing process optimization, and handling customer feedback [3]. To effectively commercialize 3D printing-based products, interdisciplinary cooperation in this area is essential.
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[1] Phuong D Nguyen, Thanh Q Nguyen, QB Tao, Frank Vogel, H Nguyen-Xuan, A data-driven machine learning approach for the 3D printing process optimization, Virtual and Physical Prototyping, 17, 768-786, 2022.
[2] Thang Le-Duc, Quoc-Hung Nguyen, J. Lee, H Nguyen-Xuan, Strengthening Gradient Descent by Sequential Motion Optimization for Deep Neural Networks, IEEE Transactions on Evolutionary Computation, in press, 2022.