I am now a PhD student in the Department of Civil Engineering at Virginia University, supervised by Prof. Zhen Liu. Before I joined UVA, I got my master’s and bachelor’s degrees from Hunan University and Chongqing Jiaotong University. At HNU, I was supervised by Prof. Chao Zhang.

My passion lies in developing physics-informed data-driven modeling methodology for engineering practice. Recently, I focused on utilizing scientific machine learning tools, particularly physics-informed neural networks, and operator learning for identifying the constitutive model and surrogating the dynamical response of structures.

Please find my publication list here, or through ResearchGate, or Google Scholar.

Feel free to communicate about research works via renyuhao@hnu.edu.cn or WeChat: sharp825.

Recent News

Graduation:(06/2024) I graduated from Hunan University and obtained my master’s degree.

Test (10/2023): I pass the IELTS test with 7.0 overall (Listening 8.0, Reading 7.0, Writing 6.0, Speaking 6.0).

Talk (10/2023): I will give a presentation about A quality index for construction big data in EPB shield tunneling at IGES 2023.

Competition (10/2023): We will participate in the 2nd TBM Tunneling Parameters Data Sharing and Machine Learning Competition.

Activity (07/2023): I attended HKUST(GZ) joint summer camp. Interesting journey!

Conference (3/2023): I attended the National Highway Tunnel Academic Annual Conference.

Paper (02/2023): Our paper titled “Significance and formulation of ground loss in tunneling-induced settlement prediction: a data-driven study” is published in Acta Geotechnica.

Paper (11/2022): A collaborative paper with Ziheng titled “A Kriging-Random Forest Hybrid Model for Real-time Ground Property Prediction during Earth Pressure Balance Shield Tunneling” can be finded in arxiv.