Research

Research Interests

• Cardiovascular Solid Mechanics
• Computational Biomechanics
• Physics-Informed Machine Learning
• Experimental Methods for Testing of Soft Tissues
• Applied Solid Mechanics
• Finite Element Analysis
• Nonlinear Solid Mechanics

Research Projects

Computational simulation of prosthetic heart valves

The first transcatheter aortic valve (TAV) replacement in humans was performed in 2002. Despite substantial advancements and clinical experience gained over the past decade, periprocedural complications remain prevalent, and the long-term durability of TAV devices remains uncertain. This project aims to develop multiscale computational models of TAV devices to optimize their design and enhance performance through computational simulations.

Biomechanical modeling of arterial walls

The arterial wall consists of three distinct layers, each exhibiting unique microstructural and mechanical characteristics. These layers possess an extraordinary capacity to adapt in response to changes in hemodynamic conditions or injury. This study aims to develop multiscale biomechanical models of the arterial wall to characterize alterations in mechanical properties. Such models will enhance our understanding of pathophysiological processes, including atherosclerosis, at different length scales.

Constitutive modeling of soft biological tissues

Constitutive models that account for three-dimensional fiber dispersion in soft tissues have garnered substantial attention in recent decades and have been employed extensively to simulate the mechanical behavior of soft tissues. However, an accurate description of 3D fiber dispersion within constitutive models remains challenging, even when significant simplifications and idealizations are applied. This project aims to develop advanced multiscale constitutive models for various soft tissues by integrating physics-informed machine learning. This approach will enable highly accurate representation of tissue mechanical responses in computational simulations.