Academic Appointments

  • Engr Res Assoc, Mechanical Engineering

Honors & Awards

  • Kwanjeong Scholarship, Kwanjeong Educational Foundation
  • Jeongsong scholarship, Jeongsong Foundation
  • Graduate with Honor, Summa Cum Laude, Seoul National University

All Publications

  • The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls arXiv:1908.07522 Seo, J., Schiavazzi, D. E., Kahn, A., Marsden, A. L. 2019
  • Turbulent flows over superhydrophobic surfaces: flow-induced capillary waves, and robustness of air-water interfaces. JOUNRNAL OF FLUID MECHANICS Seo, J., Garcia-Mayoral, R., Mani, A. 2018; 835: 45–85

    View details for DOI 10.1017/jfm.2017.733

  • Pressure fluctuations and interfacial robustness in turbulent flows over superhydrophobic surfaces JOURNAL OF FLUID MECHANICS Seo, J., Garcia-Mayoral, R., Mani, A. 2015; 783: 448-473
  • Multi-fidelity estimators for coronary circulation models under clinically-informed data uncertainty Seo, J., Fleeter, C., Kahn, A. D., Schiavazzi, D. E., Marsden, A. L. International Journal for Uncertainty Quantification. 2020
  • Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels. Computational mechanics Seo, J., Schiavazzi, D. E., Marsden, A. L. 2019; 64: 717–39


    Computing the solution of linear systems of equations is invariably the most time consuming task in the numerical solutions of PDEs in many fields of computational science. In this study, we focus on the numerical simulation of cardiovascular hemodynamics with rigid and deformable walls, discretized in space and time through the variational multiscale finite element method. We focus on three approaches: the problem agnostic generalized minimum residual (GMRES) and stabilized bi-conjugate gradient (BICGS) methods, and a recently proposed, problem specific, bi-partitioned (BIPN) method. We also perform a comparative analysis of several preconditioners, including diagonal, block-diagonal, incomplete factorization, multigrid, and resistance based methods. Solver performance and matrix characteristics (diagonal dominance, symmetry, sparsity, bandwidth and spectral properties) are first examined for an idealized cylindrical geometry with physiologic boundary conditions and then successively tested on several patient-specific anatomies representative of realistic cardiovascular simulation problems. Incomplete factorization preconditioners provide the best performance and results in terms of both strong and weak scalability. The BIPN method was found to outperform other methods in patient-specific models with rigid walls. In models with deformable walls, BIPN was outperformed by BICG with diagonal and Incomplete LU preconditioners.

    View details for DOI 10.1007/s00466-019-01678-3

    View details for PubMedID 31827310

    View details for PubMedCentralID PMC6905469

  • Effect of texture randomization on the slip and interfacial robustness in turbulent flows over superhydrophobic surfaces PHYSICAL REVIEW FLUIDS Seo, J., Mani, A. 2018; 3
  • On the scaling of the slip velocity in turbulent flows over superhydrophobic surfaces PHYSICS OF FLUIDS Seo, J., Mani, A. 2016; 28 (2)

    View details for DOI 10.1063/1.4941769

    View details for Web of Science ID 000371286500052