Bio

Sujal Dave, PhD, is a Postdoctoral Scholar in the Cardiovascular Biomechanics Computation Lab at Stanford University.

He recently completed his Ph.D. in Mechanical Engineering at the University of Calgary under the supervision of Dr. Artem Korobenko, where he developed consistent reduced order modeling frameworks for turbulent flows using variational multiscale methods and stabilized finite elements. His doctoral research advanced large-scale wind turbine wake simulations with applications to renewable energy and environmental flows.

Stanford Advisors

Contact

  • Academic
    sdave03@stanford.edu
    University - Scholar Department: Pediatrics Position: Postdoctoral Scholar

Additional Info

Links

Lab Affiliations

All Publications

  • Consistent reduced order modeling for wind turbine wakes using variational multiscale method and actuator line model COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Dave, S., Korobenko, A. 2025; 446

    View details for DOI 10.1016/j.cma.2025.118194

    View details for Web of Science ID 001540555400002

  • Predicting smooth body flow separation with finite-element-based variational multiscale formulation COMPUTATIONAL MECHANICS Dave, S., Korobenko, A. 2025

    View details for DOI 10.1007/s00466-025-02650-0

    View details for Web of Science ID 001504438600001

  • Summary of the Smooth Body Separation Test Case at the 2022 High Fidelity CFD Verification Workshop Larsson, J., Bermejo-Moreno, I., Garmann, D., Rizzetta, D., Baurle, R., Mukha, T., Toosi, S., Schlatter, P., Brehm, C., Ganju, S., Kahraman, A., van Noordt, W., Wang, Z. J., Duan, Z., Blind, M., Beck, A., Dave, S., Korobenko, A., AIAA AMER INST AERONAUTICS & ASTRONAUTICS. 2023

    View details for Web of Science ID 001415205700148

  • An effective PBPK model predicting dissolved drug transfer from a representative nasal cavity to the blood stream JOURNAL OF AEROSOL SCIENCE Dave, S., Kleinstreuer, C., Chari, S. 2022; 160

    View details for DOI 10.1016/j.jaerosci.2021.105898

    View details for Web of Science ID 000754048800004

https://orcid.org/0000-0001-6705-6226