Research Thrusts

Performance-based engineering (PBE) is the core theme of all my research initiatives, where my primary research projects involve four main thrusts: (a) Performance-based evaluation of novel solutions for structural resiliency, (b) Decision-making frameworks for resiliency and sustainability of built environment under natural hazards, (c) Ground motion selection/simulation for performance-based evaluations, and (d) Integration of data-driven methods in structural engineering.

Thrust 1: Performance-based evaluation of novel solutions for structural resiliency

Using enhanced structural systems, materials, and forms is shown to be an effective method to improve resiliency of the built environment. This research thrust is dedicated to exploring novel systems and materials ( and sometimes re-purposed old materials) to achieve better resiliency against natural hazards. Read more: [project page]


Thrust 2: Decision-making frameworks for resiliency and sustainability of built environment under natural hazards

Changing environment, deterioration of built environment over time, and the unpredictable nature of natural hazards pose multiple sources of uncertainties that should be accounted in a decision-making framework. This research thrust investigates decision support systems that incorporate multiple sources of uncertainty due to seismic hazard and structural analysis to yield risk-informed decisions.


Thrust 3: Ground motion selection/simulation for performance-based evaluations

Seismic performance-based evaluation commonly require a rigorously-selected ground motion suite that is consistent with the site’s hazard. This ground motion suite will then be used to perform nonlinear dynamic analyses, where the accuracy and efficiency of risk estimation largely depend on the used suite. Read more: [project page]


Thrust 4: Integration of data-driven methods in structural engineering

Data science and machine learning are disrupting many fields, and structural engineering is slowly feeling the momentum. This is a critical time to capitalize on the vast generated knowledge of computer science to improve the efficiency and capabilities of simulation frameworks in the structural engineering field. Read more:[project page]