Siva Viknesh Profile Photo

πŸ‘‹πŸΌ Hello, I'm Siva Viknesh!

Passionate about Fluid Mechanics and Scientific Machine Learning, developing Hybrid Physics–ML frameworks that integrate physics models and data-driven methods to solve spatio-temporal flow problems, while being both scientifically rigorous and practically useful.


πŸ‘¨πŸ»β€πŸŽ“ PhD Candidate in the Scientific Computing & Imaging Institute and the Mechanical Engineering Department at The University of Utah, Salt Lake City, Utah, USA.

πŸ”¬ Research Interests: Scientific Machine Learning, Computational Fluid Mechanics, Unsteady Aerodynamics, and Wildfire Dynamics.

πŸŽ“ Education: I hold an M.S. in Aerospace Engineering with Aerodynamics major from IIT Kanpur, India, where I focused on both Computational and Experimental Aerodynamics, and a B.E. in Aeronautical Engineering from Anna University, Tamil Nadu, India, where I developed a strong interest in Aerodynamics and solving PDEs.

πŸ“š See my CV here.

πŸ”¬ Academic Research

πŸ€– Scientific Machine Learning:

πŸ”₯ Wildfire Dynamics:

  • Identified two New Non-dimensional Numbers governing the convection-diffusion-reaction wildfire combustion models. Leverages stable and unstable manifolds (LCS) of wind topology to predict fire advection.

πŸ›©οΈ Pitching Airfoil:

  • Identified Upstream-convecting vortices (vortices advecting against the flow) on a pitching airfoil using Time-resolved PIV & Pressure measurements.

πŸŒͺ️ Flow Instabilities:

  • Multiple Hopf Bifurcations and critical Reynolds numbers in lid-driven cavity flow problems, noting the influence of numerical schemes and grid resolution.

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

πŸ–₯️ 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.