Dr. Shamsher Sadiq is a Postdoctoral Fellow in the College of Civil and Transportation Engineering at Shenzhen University. His research focuses on soil–structure interaction, seismic resilience of underground and geotechnical structures, machine learning applications in civil engineering, and predictive modeling in geotechnics. Dr. Sadiq has made significant contributions to the seismic analysis of underground structures, including cut-and-cover tunnels, site response evaluation, and ground amplification studies. His work also integrates advanced computational techniques such as hybrid machine learning models (e.g., XGBoost, genetic programming, deep learning) with numerical methods to improve prediction accuracy in geotechnical engineering problems. He has published extensively in high-impact Q1 journals including Tunnelling and Underground Space Technology, Engineering Geology, Ocean Engineering, Geotextiles and Geomembranes, Journal of Environmental Management, and Natural Hazards. His research has been widely cited, particularly in seismic vulnerability assessment of tunnels and data-driven modeling for geotechnical systems. Dr. Sadiq’s current research further explores smart monitoring technologies, fiber-optic sensing, offshore foundations, ground improvement techniques, and sustainable geotechnical infrastructure under dynamic and multi-hazard conditions.