Prof. Shengyuan Song is a researcher at Jilin University whose work focuses on landslide dynamics, rock mass structure, and advanced geotechnical monitoring and modeling. With 79 peer-reviewed publications and more than 1,300 citations, he has achieved an h-index of 22, reflecting sustained scholarly impact across engineering geology and rock mechanics. His recent contributions include advances in multi-source monitoring technologies, automated identification of discontinuities from 3D point-cloud data, valley-fracture failure mechanisms, and debris-flow sediment dynamics in seismic regions. Prof. Song has collaborated with over 150 co-authors, demonstrating strong engagement in interdisciplinary and international research communities. His studies support safer slope engineering, improved disaster-early-warning strategies, and mitigation of geological hazards in mountainous environments, contributing meaningful scientific and societal value to natural hazard resilience and sustainable infrastructure development.