Research Keywords
- Scientific Machine learning
- Mass transport
- Dynamical Systems
- Data-driven reduced-order modeling
- Computational structural mechanics
- Computational fluid dynamics (CFD)
- Cardiovascular biomechanics
Presentations
- Csala, H., Arzani, A., “Enhancing corrupt cardiovascular flow data with machine learning”, Summer Biomechanics, Bioengineering and Biotransport Conference, Vail, CO, June 4-8, 2023. Conference Paper, Refereed, Presented, 06/2023.
- Flow physics and data-driven near-wall transport in blood flow. Toronto Interdisciplinary Modeling, Biomechanics, and Imaging Team seminar series, Ryerson University, Virtual, March 2023. Invited Talk/Keynote, Presented, 03/2023.
- Flow physics and data-driven near-wall transport in blood flow. Advanced Modeling & Simulations seminar series, University of Texas El-Paso, Virtual, Feb 2023. Invited Talk/Keynote, Presented, 02/2023.
- Scientific machine learning for modeling near-wall mass transport and boundary layers. CRUNCH seminar series, Brown University, Virtual, Jan 2023. Invited Talk/Keynote, Presented, 01/2023.
- Aliakbari, M., Vadasz, P., Arzani, A., “Transfer learning enhanced physics-informed neural networks for forward and inverse transport problems in heterogeneous domains”, APS Division of Fluid Dynamics Annual Meeting, Indianapolis, IN, Nov. 20–22, 2022. Other, Presented, 11/2022.
- Csala, H., Dawson, S., Arzani, A., “Manifold learning and deep autoencoders for nonlinear embedding of unsteady fluid flows”, APS Division of Fluid Dynamics Annual Meeting, Indianapolis, IN, Nov. 20–22, 2022. Other, Presented, 11/2022.
- Arzani, A., Cassel, K. W., D’Souza, R. M., ‘Solving thin boundary layer problems with physics-informed machine learning inspired by perturbation theory”, APS Division of Fluid Dynamics Annual Meeting, Indianapolis, IN, Nov. 20–22, 2022. Other, Presented, 11/2022.
Research Groups
- Alexis Throop, Graduate Student. 08/2023 - present.
- Mojgan Alishiri, Graduate Student. 08/2023 - present.
- Nathan Sudbury, Undergraduate Student. 01/2023 - present.
- Steven LaBelle, Postdoc. 01/2023 - present.
- Bray Moll, Graduate Student. 08/2022 - present.