Muhammad Zayed

An Interpretable XGBoost-SHAP framework for rapid regional assessment of liquefaction-induced lateral spreading in mildly sloping ground

Liquefaction-induced lateral spreading poses significant risks to infrastructure on mildly sloping ground during earthquakes. This study develops an interpretable machine learning (ML) framework for rapid regional-scale prediction of liquefaction-induced displacement using an Ext...

Sustainability-Driven Seismic Resilience Assessment and Multiobjective Optimization of DSM-Retrofitted RC Bridges on Liquefiable Ground

Abstract Sustainability and seismic resilience are increasingly essential for infrastructure systems, prompted by the demand to endure more frequent extreme events while minimizing environmental impacts. This paper presents a sustainability-driven, multiobjective framework for as...