Computational Modeling in Cardiovascular Engineering Principals and Applications

ABSTRACT

Modeling and simulation are powerful tools for addressing complex challenges in medical device design. These tools have rapidly advanced the analytical capabilities of the field, particularly in cardiovascular applications, where the precise predictions of fluid dynamics have critical implications. Methods such as computational fluid dynamics (CFD) provide valuable insights into device performance—both in terms of the design itself and its interaction with the surrounding physiological environment. Simulating these factors early in the design process enables researchers to more efficiently optimize devices for improved functionality, safety, and patient outcomes. This presentation highlights the role of computational modeling in accelerating cardiovascular device design, including an examination of the physical principles underpinning CFD methods. From improving established technologies with next generation algorithms to creating new solutions for specialized patient populations, we will explore how simulation advances the pace of innovation in the field.

BIOGRAPHY

Ellen Garven, PhD, is a post-doctoral fellow in Biomedical Engineering at Drexel University, specializing in simulation-driven design for biomedical devices. She earned her BS in Physics from Tufts University, spent two years in the medical device industry, and completed her MS and PhD in Biomedical Engineering at Drexel. Her awards include The Class of 1942 Prize at Tufts and a GAANN fellowship during her doctoral studies. Dr. Garven’s research applies computational fluid dynamics (CFD) to evaluate and optimize biomedical devices. Her doctoral work modeled the physiology of a congenital heart defect to evaluate a new therapeutic concept, while her post-doctoral research focuses on improving the fluidic design of an organ-on-a-chip device. Dr. Garven is passionate about mentoring aspiring engineers, drawing on her graduate minor in STEM education in order to share her enthusiasm for computational modeling, physics, and their applications in biomedical design.