The UNO Biomechanics Seminar Series is held every Friday during the academic year at 10 A.M. The focus of the seminar series is to call for experts related to academia and research in the areas related to biomechanics, variability, motor disorders, physical therapy and related studies. The series includes local and nationally renowned professors and specialists presenting findings, stimulating thinking, and creating collaboration ideas for the UNO students and faculty. Visit our website for a list of this year's speakers! 

Presentation title: Scientific Machine Learning in Cardiovascular Fluid Mechanics: From no data to large data.

Presentation abstract:

Computational and experimental modeling in cardiovascular fluid mechanics has provided valuable fluid mechanics-based biomarkers that can be used in evaluating cardiovascular disease severity and treatment planning. Specifically, wall shear stress (WSS) is an important biomarker in a wide range of cardiovascular complications. WSS affects cardiovascular disease by regulating endothelial cell mechanotransduction and near-wall biotransport. In this talk, I will first summarize our work related to the novel concept of WSS topology in cardiovascular disease. Subsequently, I will discuss some of our group's recent work in scientific machine learning and their applications in blood flow and WSS modeling. I will focus on different data regimes ranging from large data to no data. I will discuss different appropriate machine learning approaches and the associated challenges. Specifically, I will present examples related to reduced-order modeling (ROM), deep learning, and physics-informed machine learning.

About the speaker:

Dr. Amirhossein (Amir) Arzani is a tenured Associate Professor at the University of Utah (Scientific Computing and Imaging Institute and Mechanical Eng. Department). He obtained his BSc, MSc, and PhD degrees in mechanical engineering from Isfahan University of Technology, Illinois Institute of Technology, and UC Berkeley, respectively. He is the director of the Computational Biomechanics Group at Utah (https://bio.mech.utah.edu/) and a recipient of the NSF CAREER and NIH Trailblazer awards. Recently, he received the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) from President Biden. His research utilizes various computational mechanics and data-driven techniques to study biological flows and soft tissue mechanics.