Area of research
Civil and Structural Engineering · Building and Construction
Research interest
Research interests include Computer science, Artificial intelligence, Machine learning, Structural engineering, Column (typography), and Beam (structure).
Deep learning-enhanced efficient seismic analysis of structures with multi-fidelity modeling strategies
Prior knowledge‐infused neural network for efficient performance assessment of structures through few‐shot incremental learning
Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting
Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls
Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application
Experimental and Numerical Investigation on Progressive Collapse Resistance of Post-Tensioned Precast Concrete Beam-Column Subassemblages