Amirhossein Arzani

Assistant Professor

University of Utah

United States

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Amirhossein Arzani is an Assistant Professor at The University of Utah, USA. His research focuses on multiscale kinematic growth, mechanosensitive systems biology, and machine learning applications in cardiovascular biomechanics. Recent publications highlight his work on computational modeling of blood flow and the use of physics-informed neural networks for various applications in fluid dynamics and data recovery.

Articles (13)

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2025

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2021

Collaborators (2)

Seungik Baek

Associate Professor

Michigan State University

UNITED STATES

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Scott Dawson

Illinois Institute of Technology

UNITED STATES

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Amirhossein Arzani

Research Interests

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About

Articles (13)

Multiscale kinematic growth coupled with mechanosensitive systems biology in open-source software

Physics-constrained coupled neural differential equations for one dimensional blood flow modeling

A comparison of machine learning methods for recovering noisy and missing 4D flow MRI data

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation

Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling

Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

Current state-of-the-art and utilities of machine learning for detection, monitoring, growth prediction, rupture risk assessment, and post-surgical management of abdominal aortic aneurysms

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond

Integrating multi-fidelity blood flow data with reduced-order data assimilation

Local and global growth and remodeling in calcific aortic valve disease and aging

The Story of Wall Shear Stress in Coronary Artery Atherosclerosis: Biochemical Transport and Mechanotransduction

Flow topology and targeted drug delivery in cardiovascular disease

Fluid-structure coupled biotransport processes in aortic valve disease

Collaborators (2)

Seungik Baek

Scott Dawson

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