Summary
Chen Shen is a researcher based in Delft with eight years of experience specializing in structural dynamics, railway infrastructure health monitoring, and the fusion of physics-based and data-driven modelling. Currently at TU Delft, he combines academic research with teaching responsibilities on railway track and vehicle design, mentoring masters students and designing practical computer labs. His PhD work and ongoing research focus on creating smarter, more resilient rail systems through data science applied to structural health, bridging theoretical models and real-world monitoring. Originally trained in civil engineering and railway transportation at Tongji University, he brings hands-on structural design experience from early industry work to inform practical, deployable solutions.
8 years of coding experience
Master's degree, Railroad and Railway Transportation, Master's degree, Railroad and Railway Transportation at Tongji University