| Link to my Google Scholar page: |  |
| Peer Reviewed, Preprints and Review Articles |
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| 2019: |
| [22] Nikolaos Perakakis, Stergios Polyzos, Alireza Yazdani, Aleix Sala-Vila, Jannis Kountouras, Athanasios Anastasilakis and Christos Mantzoros. Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study. Metabolism-Clinical and Experimental, 2019, 101:154005. https://doi.org/10.1016/j.metabol.2019.154005 |
| [21] Minglang Yin, Alireza Yazdani and George Em Karniadaki. One-dimensional modeling of fractional flow reserve in coronary artery disease: Uncertainty quantification and Bayesian optimization. Computer Methods in Applied Mechanics and Engineering, 2019, 353:66-85. https://doi.org/10.1016/j.cma.2019.05.005 |
| 2018: |
| [20] Hung-Yu Chang*, Alireza Yazdani*, Xuejin Li, Konstantinos Douglas, Christos Mantzoros and George Em Karniadakis. Quantifying platelet margination in diabetic blood flow. Biophysical Journal, 2018, 115: 1371-1382, https://doi.org/10.1016/j.bpj.2018.08.031 |
| [19] Maziar Raissi, Alireza Yazdani and George Em Karniadakis. Hidden fluid mechanics: a Navier-Stokes informed deep learning framework for assimilating flow visualization data. arXive, 2018, 1808.04327. https://arxiv.org/abs/1808.04327 |
| [18] Nikolaos Perakakis, Alireza Yazdani, George Em Karniadakis and Christos Mantzoros. Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics. Metabolism-Clinical and Experimental, 2018, 87: A1-A9. https://doi.org/10.1016/j.metabol.2018.08.002 |
| [17] Alireza Yazdani and George Em Karniadakis. Moving toward realistic models: Comment on ‘Modeling thrombosis in silico: Frontiers, challenges, unresolved problems and milestones’ by AV Belyaev et al. Physics of Life Reviews, 2018, In Press. https://doi.org/10.1016/j.plrev.2018.06.012 |
| [16] Alireza Yazdani, Peng Zhang, Jawaad Sheriff, Marvin J. Slepian, Yuefan Deng and Danny Bluestein. Multiscale modeling of blood flow-mediated platelet thrombosis. Handbook of Materials Modeling. Volume 2 Applications: Current and Emerging Materials, Springer, 2018, In Press. https://doi.org/10.1007/978-3-319-50257-1_69-1 |
| [15] Alireza Yazdani, He Li, Matthew R. Bersi, Paolo Di Achille, Joseph Insley, Jay D. Humphrey and George Em Karniadakis. Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic Dissections. Scientific Reports, 2018, 8: 2515. https://doi.org/10.1038/s41598-018-20603-x |
| 2017: |
| [14] Alireza Yazdani, Zhen Li, Jay D. Humphrey and George Em Karniadakis. Seamless Multiscale Modeling of Coagulation Using Dissipative Particle Dynamics. bioRxiv, 2017, p.181099. https://doi.org/10.1101/181099 |
| [13] Alireza Yazdani, He Li, Jay D. Humphrey and George Em Karniadakis. A general shear-dependent model for thrombus formation. PLoS Computational Biology, 2017, 13.1: e1005291. https://doi.org/10.1371/journal.pcbi.1005291 |
| 2016: |
| [12] David M. Wootton, Sanghun Sin, Haiyan Luo, Alireza Yazdani, Joseph M. McDonough, Mark E. Wagshul, Carmen R. Isasi and Raanan Arens. Computational fluid dynamics of upper airway effective compliance, critical closing pressure, and obstructive sleep apnea severity in obese adolescent girls. Journal of Applied Physiology, 2016, 121: 925-931. https://doi.org/10.1152/japplphysiol.00190.2016 |
| [11] Alireza Yazdani and George Em Karniadakis. Sub-cellular modeling of platelet transport in blood flow through microchannels with constriction. Soft Matter, 2016, 12: 4339-4351. https://doi.org/10.1039/C6SM00154H |
| [10] Alexandra Witthoft*, Alireza Yazdani*, Zhangli Peng, Chiara Bellini, Jay D. Humphrey and George Em Karniadakis. A discrete particle model of a multilayerd fiber-reinforced arterial wall. Journal of the Royal Society: Interface, 2016, 13: 20150964. https://doi.org/10.1098/rsif.2015.0964 |
| [9] Alireza Yazdani, Mingge Deng, Bruce Caswell and George Em Karniadakis. Flow in complex domains simulated by Dissipative Particle Dynamics driven by geometry-specific body-forces. Journal of Computational Physics, 2016, 305: 906-920. https://doi.org/10.1016/j.jcp.2015.11.001 |
| [8] Alireza Yazdani, Xuejin Li and George Em Karniadakis. Dynamic and rheological properties of soft biological cell suspensions. Rheological Acta, 2016, 55(6): 433-449. https://doi.org/10.1007/s0039 |
| 2015: |
| [7] Zhen Li, Alireza Yazdani, Alexandre Tartakovsky and George Em Karniadakis. Transport dissipative particle dynamics model for mesoscopic advection-diffusion-reaction problems. The Journal of Chemical Physics, 2015, 143: 014101. https://doi.org/10.1063/1.4923254 |
| 2011-2014: |
| [6] Daniel Cordasco, Alireza Yazdani and Prosenjit Bagchi. Comparison of erythrocyte dynamics in shear flow under different stress-free configurations. Physics of Fluids, 2014, 26: 041902. https://doi.org/10.1063/1.4871300 |
| [5] Alireza Yazdani and Prosenjit Bagchi. Influence of membrane viscosity on capsule dynamics in shear flow. Journal of Fluid Mechanics, 2013, 718: 569-595. https://doi.org/10.1017/jfm.2012.637 |
| [4] Prosenjit Bagchi and Alireza Z.K. Yazdani. Analysis of membrane tank-tread of nonspherical capsules and red blood cells. European Physical Journal E, 2012, 35: 103. https://doi.org/10.1140/epje/i2012-12103-1 |
| [3] Alireza Yazdani and Prosenjit Bagchi. Three-dimensional numerical simulation of vesicle dynamics using front-tracking method. Physical Review E, 2012, 85: 056308. https://doi.org/10.1103/PhysRevE.85.056308 |
| [2] Alireza Z.K. Yazdani and Prosenjit Bagchi. Phase diagram and breathing dynamics of a single red blood cell and a biconcave capsule in dilute shear flow. Physical Review E, 2011, 84: 026314. https://doi.org/10.1103/PhysRevE.84.026314 |
| [1] Alireza Z.K. Yazdani, R. Murthy Kalluri and Prosenjit Bagchi. Tank-treading and tumbling frequencies of capsules and red blood cells. Physical Review E, 2011, 83: 046305. https://doi.org/10.1103/PhysRevE.83.046305 |
