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Phong Nguyen is a data scientist and mechanical engineer. He joined the School of Data Science as an Assistant Professor in 2022, previously serving as a research associate where he conducted fundamental research to develop physics-informed machine learning algorithms to facilitate the design of heterogeneous energetic materials.
Nguyen's research interest is at the intersection of mechanical engineering and data science in which novel data-driven methods are proposed to solve engineering problems. His main areas of research include physics-informed machine learning, deep generative modeling, uncertainty quantification and robust design optimization, all for the application in materials and structure design.
Nguyen’s published research is extensive, including “Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning” and “Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials.”
Nguyen holds a Ph.D. in Mechanical Engineering from Chung-Ang University in Korea, and an M.S and B.S. in Mechanical Engineering from Hanoi University of Science and Technology in Vietnam.
Nguyen, P., Vlassis, N., Bahmani, B., Sun, W., Udaykumar, H., Baek, S. (2022). Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning. Scientific Reports, 12 (1), 1-16.
Kim, Y., Nguyen, P., Kim, H., and Choi, Y. (2022). Multi-morphology cellular structure design with smooth transition of geometry and homogenized mechanical properties between adjacent cells. Materials & Design, 128 (110727)
Nguyen, P., Kim, Y., and Choi, Y. (2022). Lightweight design with metallic additively manufactured cellular structures. Journal of Computational Design and Engineering, 9(1), 155–167
Nguyen, P., Kim, Y., Do, Q., and Choi, Y. (2021). Implicit-based computer-aided design for additively manufactured functionally graded cellular structures. Journal of Computational Design and Engineering, 8(3) 813–823.
Nguyen, P., Choi, Y. (2021). Multiscale design of functionally graded cellular structures using decoupled modeling and level-set descriptions. Structural and Multidisciplinary Optimization, 64, 1983–1995
Do, Q., Nguyen, P., and Choi, Y. (2021). Homogenization-Based Optimum Design of Additively Manufactured Voronoi Cellular Structures. Additive Manufacturing, 45,102057
Nguyen, P. and Choi, Y. (2020). Concurrent density distribution and build orientation optimization of additively manufactured functionally graded lattice structures. Computer-Aided Design, 127
Kim, Y., Nguyen, P., Choi, Y. (2020). Automatic pipe and elbow recognition from three-dimensional point cloud model of industrial plant piping system using convolutional neural network-based primitive classification. Automation in Construction, 116
Nguyen, P., Kim, Y., and Choi, Y. (2019). Design for Additive Manufacturing of Functionally Graded Lattice Structures: A Design Method with Process Induced Anisotropy Consideration. International Journal of Precision Engineering and Manufacturing, 8(5):1-17
Nguyen, P. and Choi, Y. (2018). Triangular Mesh and Boundary Representation Combined Approach for 3D CAD Lightweight Representation for Collaborative Product Development. American Society of Mechanical Engineers Journal of Computing and Information Science, 19(1): 011009
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