Prof Dr. Li Song, School of Civil Engineering, China.
Professor Song Li 👨🏫 is a distinguished expert in high-speed railway infrastructure at Central South University, serving as a doctoral supervisor and deputy director of the National Engineering Research Center for High-Speed Railway Construction Technology 🚄. As a core contributor to several national innovation teams, including the “High-Speed Railway Bridge Service Safety” initiative, he plays a critical role in advancing China’s rail transport safety and structural engineering research. With a deep-rooted academic foundation and visionary leadership, he actively participates in the country’s strategic development projects and civil engineering standards. His dedication to infrastructure safety and smart assessment systems has positioned him as a thought leader in modern transportation engineering and innovation. Through extensive collaboration with governmental and academic institutions, Prof. Song Li continues to elevate the standards of railway systems with sustainable and intelligent solutions. 🌐
👨🏫 Profile
Scopus
🎓 Education
Prof. Song Li earned his Doctorate in Civil Engineering and Structural Engineering from Tongji University 🎓, one of China’s top engineering institutions. His educational journey was marked by a focus on dynamic systems, fatigue analysis, and material durability in large-scale infrastructure projects. During his doctoral studies, he cultivated a strong foundation in computational modeling, mechanics, and experimental engineering 🧠. His academic pursuits aligned closely with national objectives, particularly in enhancing the performance and lifespan of railway bridge structures. This robust academic background has not only fueled his innovations in intelligent safety assessment systems but has also equipped him with interdisciplinary skills necessary for leadership roles in national engineering research. 📚 His continued engagement with academic training and mentorship supports a new generation of engineers in cutting-edge civil infrastructure technologies.
🛠️ Experience
With over two decades of research and development in high-speed railway structural systems, Prof. Song Li’s experience spans critical national projects and academic leadership roles 🏗️. At Central South University, he serves as a pivotal figure in the School of Civil Engineering, acting as second-in-charge of the Structural Durability Innovation Team. He has led or participated in more than 20 major scientific research initiatives, including those under the National Natural Science Foundation of China, the 863 Program, and the China Railway Group 🚆. His work on service performance, fatigue resistance, and long-term deformation behavior of track-bridge systems has driven major technological advances. As a core contributor to the “Rail Transit Safety” Collaborative Innovation Center, he helps set benchmarks for infrastructure safety in China. His influence also extends to construction standards as a member of the Masonry Structure Committee under the China Engineering Construction Standardization Association. 🔧
🔬 Research Interests
Prof. Song Li’s research interests revolve around the service performance and intelligent safety assessment of high-speed railway structural systems 🧪. His work focuses on dynamics, fatigue behavior, material durability, and long-term structural deformation of bridge-track interfaces. He is dedicated to developing intelligent, sensor-based systems for real-time safety evaluation of railway infrastructure, blending artificial intelligence with structural monitoring 🤖. His contributions have strengthened the resilience and sustainability of high-speed railway networks, ensuring long-term operational reliability. He is also committed to interdisciplinary research, collaborating with computer scientists, materials engineers, and policy-makers to push forward the boundaries of structural health monitoring and lifecycle engineering 🧬. His current interests also include digital twin technology, big-data-driven safety diagnostics, and the standardization of performance-based evaluation methods across railway systems.
🏆 Awards
Prof. Song Li has received prestigious national and regional awards in recognition of his contributions to high-speed railway technology 🏅. These include the First Prize of Hunan Provincial Science and Technology Progress Award, the Special Prize of China Railway Science and Technology Progress Award, and another First Prize from the same organization 🥇. Additionally, he earned the Hunan Provincial Science and Technology Innovation Team Award for his leadership and collaboration in structural engineering research. These honors highlight his transformative role in developing reliable and intelligent rail infrastructure. His recognition not only underscores his academic excellence but also validates the real-world impact of his work on China’s rapidly advancing transportation sector 🚄. These accolades serve as milestones in his enduring pursuit of safe, smart, and sustainable railway systems.
📚 Publication Top Notes
Impact of urban morphology on dwellings carbon emissions at the district scale
Identification of wheel-rail forces on high-speed railways based on physical model and hybrid recursive neural networks
Non-destructive detection and quantification of corrosion damage in coated steel components with different illumination conditions
Durability study of CRTS III slab ballastless track under the combined effects of fatigue damage and carbonation
Research on Coordinated Relationship Between Deformation and Force in Shaft Foundation Pit Support Structures