Publications

Jensen, C., Ghorbannia, A., Hughes, G., & Randles, A. (2025). A systematic quantification of hemodynamic differences persisting after aortic coarctation repair. Frontiers in Bioengineering and Biotechnology, 13. https://doi.org/10.3389/fbioe.2025.1539256

Ghorbannia, A., Tanade, C., Yousef, A., Khan, N. S., Vardhan, M., Chi, J. T., … Randles, A. (2025). Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions. The International Journal of High Performance Computing Applications. https://doi.org/10.1177/10943420251351125

Martin, A., Yousef, A., Liu, G., Ladd, W., Georgiadou, A., Stoop, J., & Randles, A. (2025). Performance Portability Evaluation of Fluid-Structure Interaction Simulations on Heterogeneous Platforms. In https://ieeexplore.ieee.org/xpl/conhome/11008903/proceeding (pp. 1–11). Hamburg, Germany: IEEE.

Aran, K., Li, J., Randles, A., & Wan, Y. (2025). Meet the winners of the 2024 Sony Women in Technology Award. Nature Reviews Electrical Engineering, 2(5), 297–301. https://doi.org/10.1038/s44287-025-00171-9

Geddes, J. R., King, T. D., Tanade, C., Ladd, W., Khan, N. S., & Randles, A. (2025). Impact of inlet velocity waveform shape on hemodynamics. Journal of Computational Science, 87. https://doi.org/10.1016/j.jocs.2025.102579

Martin, A., Nezdyur, M., Tanade, C., & Randles, A. (2025). Establishing a massively parallel computational model of the adaptive immune response. Journal of Computational Science, 87. https://doi.org/10.1016/j.jocs.2025.102555

Tanade, C., & Randles, A. (2025). Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework. Journal of Computational Science, 87. https://doi.org/10.1016/j.jocs.2025.102570

Deelman, E., Dongarra, J., Hendrickson, B., Randles, A., Reed, D., Seidel, E., & Yelick, K. (2025). High-performance computing at a crossroads. Science (New York, N.Y.), 387(6736), 829–831. https://doi.org/10.1126/science.adu0801

Feiger, B., Jensen, C. W., Bryner, B. S., Segars, W. P., & Randles, A. (2024). Modeling the effect of patient size on cerebral perfusion during veno-arterial extracorporeal membrane oxygenation. Perfusion, 39(7), 1295–1303. https://doi.org/10.1177/02676591231187962

Tanade, C., Khan, N. S., Rakestraw, E., Ladd, W. D., Draeger, E. W., & Randles, A. (2024). Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins. NPJ Digital Medicine, 7(1), 236. https://doi.org/10.1038/s41746-024-01216-3

Chidyagwai, S. G., Kaplan, M. S., Jensen, C. W., Chen, J. S., Chamberlain, R. C., Hill, K. D., … Randles, A. (2024). Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure. Cardiovascular Engineering and Technology, 15(4), 431–442. https://doi.org/10.1007/s13239-024-00724-3

Geddes, J., Randles, A., Tanade, C., Ladd, W., & Khan, N. S. (2024). Velocity Temporal Shape Affects Simulated Flow in Left Coronary Arteries (Accepted). Presented at the 24th International Conference on Computational Science, Malaga, Spain.

Vardhan, M., Tanade, C., Chen, S. J., Mahmood, O., Chakravartti, J., Jones, W. S., … Randles, A. (2024). Diagnostic Performance of Coronary Angiography Derived Computational Fractional Flow Reserve. J Am Heart Assoc, 13(13), e029941. https://doi.org/10.1161/JAHA.123.029941

Ghorbannia, A., & Randles, A. (2024). Systematic characterization and automated alignment of coronary tree geometries. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2024, pp. 1–4). https://doi.org/10.1109/embc53108.2024.10781665

Vemulapalli, S., Adebiyi, A., Jensen, C., Weissler, E. H., Inohara, T., Chen, S. J., … Randles, A. (2024). Leveraging Computational Fluid Dynamics for Next-Generation Preoperative Planning in Vascular Surgery. In Annu Int Conf IEEE Eng Med Biol Soc (Vol. 2024, pp. 1–4). United States. https://doi.org/10.1109/EMBC53108.2024.10781932

Wu, R., Kabir, M. S., Truskey, G. A., & Randles, A. (2024). Investigating the impact of sickle cell disease on red blood cell transport in complex capillary networks. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2024, pp. 1–4). https://doi.org/10.1109/embc53108.2024.10781578

Mavi, J. K., Tanade, C., Ladd, W., Geddes, J., Khan, N. S., & Randles, A. (2024). Hemodynamics comparison of an hour-long rest and activity state data in a human coronary digital twin. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2024, pp. 1–4). https://doi.org/10.1109/embc53108.2024.10782436

Huber, M., Jiang, J., Tanade, C., & Randles, A. (2024). Identifying When Steady-State Flow Simulations In Patient-Specific Coronaries Recapitulate Pulsatile Flow Dynamics. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2024, pp. 1–4). https://doi.org/10.1109/embc53108.2024.10781714

Tanade, C., & Randles, A. (n.d.). HarVI: Real-time intervention planning for coronary artery disease using machine learning (Accepted). Presented at the International Conference on Computational Science (ICCS), Malaga, Spain.

Seidel, E., Randles, A., Arthur, R., Bergman, K., Carlson, B., Deelman, E., … Reed, D. (2024). 2024 Advanced Scientific Computing Advisory Committee (ASCR) Facilities Subcommittee Recommendations. USDOE Office of Science (SC). https://doi.org/10.2172/2370379

Geddes, J. R., & Randles, A. (2024). Optimizing Temporal Waveform Analysis: A Novel Pipeline for Efficient Characterization of Left Coronary Artery Velocity Profiles. ArXiv.

Taufer, M., Hoefler, T., Hammond, J., & Randles, A. (2024). Proceedings of ISC-High Performance 2024. Research Paper Proceedings of the Isc High Performance 2024.

Martin, A., Liu, G., Joo, B., Wu, R., Kabir, M. S., Draeger, E. W., & Randles, A. (2024). Designing a GPU-Accelerated Communication Layer for Efficient Fluid-Structure Interaction Computations on Heterogeneous Systems. In International Conference for High Performance Computing Networking Storage and Analysis Sc. https://doi.org/10.1109/SC41406.2024.00099

Nan, J., Roychowdhury, S., & Randles, A. (2023). Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport. Cellular and Molecular Bioengineering, 16(5–6), 497–507. https://doi.org/10.1007/s12195-023-00790-y

Yousef, A., & Randles, A. (2023). Enabling In Situ Visualization of Large-Scale Cellular Simulations. Presented at the ISAV23: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Denver, CO.