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X-WR-CALNAME:Biomechanics Seminar Series: Dr. Amir Arzani
X-WR-TIMEZONE:Central Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260518T010629Z
UID:tag:localist.com\,2008:EventInstance_49287430338178
DTSTART:20250425T150000Z
DTEND:20250425T161500Z
DESCRIPTION: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 f
 or experts related to academia and research in the areas related to biomec
 hanics\, variability\, motor disorders\, physical therapy and related stud
 ies. The series includes local and nationally renowned professors and spec
 ialists presenting findings\, stimulating thinking\, and creating collabor
 ation ideas for the UNO students and faculty. Visit our website for a list
  of this year's speakers! \n\n \n\n \n\n \n\nPresentation title: Scientifi
 c Machine Learning in Cardiovascular Fluid Mechanics: From no data to larg
 e data.\n\n \n\nPresentation abstract:\n\nComputational and experimental m
 odeling in cardiovascular fluid mechanics has provided valuable fluid mech
 anics-based biomarkers that can be used in evaluating cardiovascular disea
 se 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 mechan
 otransduction and near-wall biotransport. In this talk\, I will first summ
 arize our work related to the novel concept of WSS topology in cardiovascu
 lar disease. Subsequently\, I will discuss some of our group's recent work
  in scientific machine learning and their applications in blood flow and W
 SS modeling. I will focus on different data regimes ranging from large dat
 a to no data. I will discuss different appropriate machine learning approa
 ches and the associated challenges. Specifically\, I will present examples
  related to reduced-order modeling (ROM)\, deep learning\, and physics-inf
 ormed machine learning.\n\n \n\nAbout the speaker:\n\nDr. Amirhossein (Ami
 r) Arzani is a tenured Associate Professor at the University of Utah (Scie
 ntific Computing and Imaging Institute and Mechanical Eng. Department). He
  obtained his BSc\, MSc\, and PhD degrees in mechanical engineering from I
 sfahan University of Technology\, Illinois Institute of Technology\, and U
 C Berkeley\, respectively. He is the director of the Computational Biomech
 anics Group at Utah (https://bio.mech.utah.edu/) and a recipient of the NS
 F CAREER and NIH Trailblazer awards. Recently\, he received the prestigiou
 s Presidential Early Career Award for Scientists and Engineers (PECASE) fr
 om President Biden. His research utilizes various computational mechanics 
 and data-driven techniques to study biological flows and soft tissue mecha
 nics.
LOCATION:Biomechanics Research Building\, 167
SUMMARY:Biomechanics Seminar Series: Dr. Amir Arzani
URL;VALUE=URI:https://events.unomaha.edu/event/biomechanics-seminar-series-
 dr-amir-arzani
CATEGORIES:Lecture/Conference
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