Siva Viknesh

Siva Viknesh

Ph.D. in Mechanical Engineering

šŸ‘‹šŸ¼ Hello there, Iā€™m Viknesh!

šŸ‘ØšŸ»ā€šŸŽ“ PhD Candidate in the Scientific Computing & Imaging (SCI) Institute and the Department of Mechanical Engineering at the University of Utah, advised by Dr. Amirhossein Arzani.

šŸ”¬ Research Interests: Scientific Machine Learning, Unsteady Aerodynamics, Computational Fluid Mechanics, Wildfire Dynamics, and Wind Tunnel Measurements.

šŸŽ“ Educational Background: I hold an M.S. in Aerospace Engineering with Aerodynamics major from IIT Kanpur, India, where I focused on both Computational Fluid Mechanics and Wind Tunnel Measurements, and a B.E. in Aeronautical Engineering from Anna University, Tamil Nadu, India, where I developed a strong interest in Aerodynamics and solving PDEs.

šŸ“š See my CV here.

šŸ”¬ Academic Research

  • šŸ”„ Wildfire Dynamics:
    Identified two new non-dimensional numbers governing the convection-diffusion-reaction wildfire combustion models for the first time. Leverages stable and unstable manifolds (LCS) derived from wind topology to improve fire prediction.
  • šŸ¤– Interpretable Machine Learning:
    Developed the ADAM-SINDy framework for non-linear dynamical system identification, avoiding prior system knowledge. Check out the CRUNCH Seminar Talk.
  • šŸ›©ļø Pitching Airfoil:
    Identified upstream-convecting vortices (vortices advecting against the flow direction) on a pitching airfoil using Time-resolved PIV & Pressure measurements.
  • šŸŒŖļø Flow Instabilities:
    Sensitivity of multiple Hopf bifurcations and critical Reynolds numbers in lid-driven cavity flow problems, noting the influence of numerical methods and grid resolution.

šŸ“š For the complete list of my publications, visit my Google Scholar Profile.

šŸ–„ļø Software and Simulations

Developed and optimized the following programs/solvers for scientific machine learning and fluid flow problems. If links are unavailable, the corresponding papers are still under review.