教育经历：

2016-2020：美国宾夕法尼亚州立大学，博士，工业与制造工程

2014-2016：美国佛罗里达大学，硕士，工业与系统工程

2010-2014：北京理工大学，本科，工业工程

工作经历：

2024-至今 北京航空航天大学，教授

2024-2024 北京航空航天大学，副教授

2020-2024 美国加州州立大学-圣何塞，助理教授

兼职情况：

2024-至今：《Digital Engineering》编辑

物理人工智能交叉（双语课程）

面向智能制造的智能统计过程控制：理论与工业软件应用（全英文课程）

数字孪生，数字试验，智能运维

发明专利：

[1] 一种空天装备数实融合测试小样本数据分析方法，陶飞; 谈巾格; 魏宇鹏; 阎小涛; 刘洋; 王子同; 邹孝付；专利号：ZL202411779019.0

[2] 一种空天装备极端工况下数实融合试验方法，魏宇鹏; 魏宏; 陶飞; 邹孝付；ZL 202411778830.7

代表性论文：

[1] Wei, Yupeng, and Dazhong Wu. "Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction." Journal of Manufacturing Systems 71 (2023): 286-297.

[2] Wei, Yupeng, Dazhong Wu, and Janis Terpenny. "Remaining useful life prediction using graph convolutional attention networks with temporal convolution-aware nested residual connections." Reliability Engineering & System Safety 242 (2024): 109776.

[3] Wei, Yupeng, Dazhong Wu, and Janis Terpenny. "Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism." Mechanical Systems and Signal Processing 188 (2023): 110010.

[4] Wei, Yupeng, and Dazhong Wu. "Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms." Reliability Engineering & System Safety 230 (2023): 108947.

[5] Wei, Yupeng, Dazhong Wu, and Janis Terpenny. "Learning the health index of complex systems using dynamic conditional variational autoencoders." Reliability Engineering & System Safety 216 (2021): 108004.