Four New SEAD Lab Publications in Journal of Mechanical Design and IDETC–CIE Proceedings

SEAD Lab is pleased to announce the publication of one JMD journal paper and three IDETC–CIE conference papers, marking a strong research milestone for the group.

• Chen, Jie, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, and Wei Chen. “Materials Discovery Using Uncertainty-Aware Constrained Bayesian Optimization With Representation Learning of High-Dimensional Inputs.” Journal of Mechanical Design 148, no. 2 (2026): 021707.

• Li, Jinyang, and Jie Chen. “An Integer Approximation for the Discrete Fourier Transform Matrix for Fast Time-Series Data Analysis.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 89237, p. V03BT03A019. American Society of Mechanical Engineers, 2025.

• Li, Jun, and Jie Chen. “Bayesian Hierarchical Models and Neural Networks for Defect-Based Fatigue Prediction in Additive Manufacturing.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 89206, p. V02AT02A009. American Society of Mechanical Engineers, 2025.

• Chen, Jie, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, and Wei Chen. “Adaptive Uncertainty-Aware Deep Learning for Materials Discovery With High-Dimensional Design Inputs.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 89237, p. V03BT03A004. American Society of Mechanical Engineers, 2025.