Dr. Yusheng Jiang is a Postdoctoral Research Fellow at the University of Dayton, specializing in multi-physics and multiscale numerical simulation with applications in geotechnical and transportation infrastructure. His research integrates advanced computational modeling, remote sensing, and machine learning to address critical challenges in infrastructure sustainability and safety, particularly in cold regions affected by climate change.
Dr. Jiang has a broad technical background in multi-physics and multiscale numerical modeling, with experience in finite element methods (FEM), including a random FEM (rFEM) based on the Voronoi approach for simulating heterogeneous civil materials microstructures. He has worked with remote sensing technologies, particularly Interferometric Synthetic Aperture Radar (InSAR), for monitoring infrastructure and ground deformation. His work also incorporates machine learning to support data analysis and model prediction in geosystems. Additional areas of involvement include climate-resilient infrastructure simulation, bio-mediated soil improvement, testing of sustainable construction materials. These tools and methods support his research on geotechnical and infrastructure-related challenges.