Dr. Hongyang Cheng

Biography

Hongyang Cheng is an Assistant Professor specializing in multi-scale modeling of soils and Bayesian uncertainty quantification with applications in geotechnics. His research integrates physics-based and data-driven approaches to enhance the understanding and modeling of granular materials, focusing on behaviors that range from quasistatic to free-flowing, while also addressing parameter uncertainties at varying scales. He is a member of the editorial board of Soils and Foundations and contributes to Technical Committee 105 on Geomechanics. In his academic role, Cheng supervises several PhD and MSc students while advocating for Open Science and engaging with industry partners. His research extends into critical areas of risk assessment and optimization of geotechnical structures under extreme loading conditions. He developed the GrainLearning tool, which merges physics-based modeling with machine learning to improve computational efficiency in geotechnics and has organized workshops to push forward innovations that combine computational geomechanics with advanced machine learning techniques.

Research Interests

Courses