Area of research
Civil and Structural Engineering
Research interest
Research interests include Seismic Performance and Analysis, Structural Health Monitoring Techniques, Masonry and Concrete Structural Analysis, and Structural Response to Dynamic Loads.
Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications
High‐Fidelity High‐Resolution Regional Seismic Risk and Resilience Assessment of Large Building Inventories
Performance-Based Design Optimization of Structures: State-of-the-Art Review
Enabling efficient regional seismic fragility assessment of multi‐component bridge portfolios through Gaussian process regression and active learning
Three‐dimensional fragility surface for reinforced concrete shear walls using image‐based damage features
Design-Oriented Machine-Learning Models for Predicting the Shear Strength of Prestressed Concrete Beams
Machine‐learning‐based optimization framework to support recovery‐based design
Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering applications
Seismic Drift Demand Estimation for Steel Moment Frame Buildings: From Mechanics-Based to Data-Driven Models
A Markov framework for generalized post-event systems recovery modeling: From single to multihazards
Machine learning applications for building structural design and performance assessment: State-of-the-art review
Development and Utilization of a Database of Infilled Frame Experiments for Numerical Modeling
Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames
Classifying earthquake damage to buildings using machine learning
Classification of in-plane failure modes for reinforced concrete frames with infills using machine learning
Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions
Predicting the dissolution kinetics of silicate glasses using machine learning
Risk-based assessment of aftershock and mainshock-aftershock seismic performance of reinforced concrete frames
Community of Practice for Modeling Disaster Recovery
Estimating aftershock collapse vulnerability using mainshock intensity, structural response and physical damage indicators
Integrating visual damage simulation, virtual inspection, and collapse capacity to evaluate post‐earthquake structural safety of buildings
Multimodal Disaster Impact Assessment Models for Enhanced Resilience
CAREER: From Performance-Based Engineering to Resilience and Sustainability: Design and Assessment Principles for the Next Generation of Buildings
Utilizing Remote Sensing to Assess the Implication of Tall Building Performance on the Resilience of Urban Centers
Collaborative Research: Modeling Post-Disaster Housing Recovery Integrating Performance Based Engineering and Urban Simulation