Summary
Hongyang Cheng is an assistant professor and technical committee secretary with a decade of experience in multi-scale modeling and Bayesian uncertainty quantification for geotechnical applications. He blends physics-based numerical methods (DEM, MPM, LBM, FEM) with machine learning to tackle granular material behavior from particle to field scales and to quantify risks for extreme loading events like earthquakes and submarine landslides. At the University of Twente he leads the GrainLearning project, maintains open-source DEM/MPM/LBM codes, and supervises a cohort of postdocs and students while actively collaborating with industry. He serves on editorial and technical committees (Soils and Foundations, ISSMGE TC105/TC303) and co-leads a COST Action working group, reflecting his role in translating research into practice. Known for coupling numerical solvers rather than treating methods in isolation, he brings a pragmatic coder’s mindset to academic research. Based in Enschede, he champions open science and reproducible tools that bridge academia and industry.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Geotechnical and Geoenvironmental Engineering, Doctor of Philosophy - PhD, Geotechnical and Geoenvironmental Engineering at Hiroshima University
Chinese, English, Japanese