杨杰
Personal information
Highest Degree：Doctoral degree
Professional Title：Professor
Academic Honor:
2023 Pengcheng Peacock Plan specially appointed B-level talents
2023 Selected candidates of the National High level Youth Talent Program
Journal Paper
- [1]Comprehensive evaluation of machine learning algorithms applied to TBM performance prediction,Underground Space,2022-02-01.
- [2]Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion,Journal of Engineering Mechanics,2022-04-01.
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