Zenan Huo is a new Ph.D. student of the Risk Group, and his supervisor is Prof. Dr. Jaboyedoff. Zenan obtained his master’s degree in geotechnical engineering at the China University of Geosciences, Beijing (CUGB). During his Ph.D., he will continue to focus on the coupling of numerical simulation (Material point method) and machine learning, as well as high-performance computing.
The following references are published papers on numerical simulation and machine learning:
- Zenan Huo, Gang Mei, Nengxiong Xu, juSFEM: A Julia-based open-source package of parallel Smoothed Finite Element Method (S-FEM) for elastic problems, Computers & Mathematics with Applications, DOI: 10.1016/j.camwa.2020.01.027.
- Zenan Huo, Gang Mei, Giampaolo Casolla, Fabio Giampaolo, Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia, Journal of Parallel and Distributed Computing, DOI: 10.1016/j.jpdc.2020.01.003.
- Kaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo, Julia language in machine learning: Algorithms, applications, and open issues, Computer Science Review, DOI: 10.1016/j.cosrev.2020.100254.