Events Calendar

AME Seminar

Speaker: Shawn Shadden, University of California, Berkeley

Talk Title: Computational models of cardiovascular function

Abstract: Combining medical imaging and other forms of clinical data with first principles-, phenomenological- and/or statistical-based computational modeling has become an important avenue in cardiovascular research, including for disease diagnosis, treatment planning and scientific discovery. In this talk, I will provide some background on the field of computational modeling of cardiovascular biomechanics and will discuss some of our recent work focused on methods to improve personalization and efficiency of this modeling process. Namely, I will discuss developments on machine learning approaches to facilitate image-based model construction and parameterization, some of our work on reduced order modeling to facilitate efficient computation of common physical quantities of clinical importance, and where we might be headed.

Biography: Shawn Shadden is a Professor and Vice Chair of Mechanical Engineering at the University of California, Berkeley and a core member of the UCSF-UC Berkeley Graduate Program in Bioengineering. His research focuses on the computational modeling of cardiovascular biomechanics and the advancement of theoretical and numerical methods to quantify complex fluid flow. He is recipient of an NSF CAREER Award, a Bakar Faculty Fellow Award, Hellman Faculty Fellow Award, and the American Heart Association Established Investigator Award. His lab helps develop the SimVascular software platform, which is broadly used in the field of computational cardiovascular research.

Host: AME Department

More Info: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

Webcast: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

Location: James H. Zumberge Hall Of Science (ZHS) - 252

WebCast Link: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

Audiences: Everyone Is Invited

Contact: Tessa Yao

Event Link: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09