Yangwenkun

Yang Wenkun, male, from Linyi, Shandong Province. Born on 1993, he is a full-time research assistant in the discipline of Civil Engineering at the School of Civil and Transportation Engineering, Hohai University (co-supervisor: Professor Zhao Haitao). He obtained his doctoral degree from the School of Civil Engineering, Southeast University in December 2023. His doctoral supervisors were Professor Zhao Jian from Monash University, Academician Chen Zuyu from the China Institute of Water Resources and Hydropower Research, and Professor Li Jianchun from Southeast University. Engaged in research on intelligent perception and decision optimization of surrounding rock stability during on-site excavation by tunnel boring machines, as well as intelligent design of concrete materials for tunnel support. During my doctoral studies, I participated in the National Key Basic Research Program project Basic Research on Intelligent Control and Support Software for the Entire Process of Safe and Efficient TBM Tunneling. My main contributions included establishing a data processing and feature extraction method for TBM tunneling, proposing a machine learning enhancement method based on Bayesian theory, and exploring the research on intelligent diagnosis of surrounding rock with dual-modal fusion of tunneling and wear.

At present, He has published a total of 16 academic papers (Elevan from Chinese Academy of Sciences (CAS) 1st Quartile), among which 10 papers were published as the first or corresponding author. The relevant papers have been published in high-quality domestic and international journals such as Tunnelling and underground space technology（IF:7.4), Rock Mechanics and Rock Engineering(IF:5.6), Acta Geotechnica (IF:5.7) Science China Technological Science (IF:4.6) In International Journal of Rock Mechanics and Mining Sciences(IF: 7.2), Underground Space(IF: 8.3). In addition, I have received the Freshman Scholarship of the School of Civil Engineering at Southeast University and the certificate of honor for being an outstanding organization in the second TBM Tunneling Parameter Data Sharing and Machine Learning Competition organized by the Chinese Society for Rock Mechanics and Engineering.