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We are hosting APS DFD 2024 in Salt Lake City (Nov 24-26). Dr. Arzani is part of the organizing committee and all lab members are involved as student volunteers. We have several talks this year ranging from podium talks to

Dr. Arzani is appointed as a Consulting Editor for the Journal of Biomechanics (a leading journal in the broad field of biomechanics). Thanks to the Editors-in-Chief for the invitation and appointment.

Dr. Arzani has been promoted to Associate Professor with tenure (starting July 1st 2024). Thanks to all of our amazing current/past lab members, collaborators, and anyone who supported us along the way.

Dr. Arzani will present “Scientific machine learning with little physics: Interpretable operator learning and spatial neural ODEs” at the Advancing fluid and soft-matter dynamics with machine learning and data science workshop. The workshop includes only invited talks by leading researchers

Congrats to Hunor for being selected to present his paper at NeurIPS (a very prestigious and leading deep learning and AI conference). Hunor’s work is titled “Modeling Coupled 1D PDEs of Cardiovascular Flow with Spatial Neural ODEs” and is based

We have received the NIH Trailblazer Award! We will be working on developing new approaches for improving targeted embolization and drug delivery. This was a two-PI grant and would not have been possible without our collaborator Jingjie Hu. This is

We have received an NSF EAGER grant (one year) from CBET for our proposal “EAGER: Understanding complex wind-driven wildfire propagation patterns with a dynamical systems approach”. We will use our lab’s expertise in modeling convective transport and dynamical systems to

Hunor will present his work titled “Enhancing Corrupt Cardiovascular Flow Data With Machine Learning” at the Summer Biomechanics, Bioengineering, and Biotransport (SB3C) conference. Dr. Arzani will chair the “Machine Learning in Biofluids” session (June 4-8, Vail, CO). Later this summer,

Dr. Arzani recently presented at the CRUNCH seminar series at Brown University about scientific machine learning modeling of near-wall transport.

Dr. Arzani, Hunor, and Maryam will present their research on scientific machine learning at the APS DFD conference. Dr. Arzani will chair the “Boundary Layers: General I” session and has also been invited to judge the Gallery of Fluid Motion

Our previously called cardiovascular biomechanics Lab at Northern Arizona University (NAU) has now moved to the University of Utah (SCI Institute and Mechanical Engineering Department).

Our undergrad researcher Ethan Shoemaker will start an internship at NASA Glenn Research Center this summer where he will continue his research on physics-informed neural networks (PINN). Ethan will then move to UC Irvine for grad school. Also, our PhD

Dr. Arzani received the NAU College of Engineering, Informatics, and Applied Sciences 2022 Distinguished Mentorship Award (one award for the entire college).

Dr. Arzani has received the highly prestigious NSF CAREER Award. The five-year project (~$508k) is titled “CAREER: Synergistic physics-based and deep learning cardiovascular flow modeling” and is funded by the NSF Office of Advanced Cyberinfrastructure Program. The award will build

Dr. Arzani, Maryam, and Mostafa will present their work at APS DFD conference. Dr. Arzani is part of the organizing committee (abstract sorting and in charge of assigning session chairs) and will chair the “Biological Fluid Dynamics: Data-driven Hemodynamics” session.

We have received a new Collaborative NSF grant (ECCS-Comms Circuits & Sens Sys Program) to support our scientific machine learning research. Specifically, we will be enhancing 4D flow MRI data by data assimilation, deep learning, and image processing. In collaboration

Summer Biomechanics, Bioengineering, and Biotransport (SB3C): Sara will present her work titled “Role of coherent structures in airflow mediated infectious disease spread with expiratory particles”, and MohammadReza will present his work titled “Aortic valve dynamics coupled with growth and remodeling

Dr. Arzani and Milad will present at the APS Division of Fluid Dynamics (DFD) 2020 conference (virtual). Dr. Arzani’s talk on data-driven modeling in blood flow could be viewed here:

We have been awarded an NSF grant from NSF’s Office of Advanced Cyberinfrastructure (OAC). The project is about multiscale modeling of cardiovascular disease growth. Thank you NSF! (PI: Amir Arzani).

Ali defended his MS thesis. He published three first-author journal papers, presented at multiple conferences, and contributed to other projects in our lab. He has got three fellowships (UC Berkeley, Michigan, UIUC). Ali will join University of Michigan to do