👋🏼 Hello there, I’m Viknesh!
👨🏻🎓 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.
🔬 Research Interests: Scientific Machine Learning, Computational Fluid Mechanics, Inverse Problems, Wildfire Dynamics, Hemodynamics, and Unsteady Aerodynamics.
🌊 Fluid Mechanics: I am strongly inclined towards Fluid Mechanics, delving into areas such as cardiovascular flow, wildfire dynamics, and unsteady aerodynamics. I also focus on developing computational methods and integrating machine learning methodologies to solve these complex problems.
🎓 Educational Background: I hold a Master’s degree in Aerospace Engineering, specializing in Aerodynamics, from IIT Kanpur, India. I had the privilege of working in the HPCL Lab with Dr. Tapan K. Sengupta and the LSA Lab with Dr. Kamal Poddar, where I focused on both Computational Fluid Mechanics and Wind Tunnel Measurements. My Bachelor's degree in Aeronautical Engineering from Anna University, Tamil Nadu, India, sparked my passion for Aerodynamics and solving PDEs.
🔬 Research Interests: Scientific Machine Learning, Computational Fluid Mechanics, Inverse Problems, Wildfire Dynamics, Hemodynamics, and Unsteady Aerodynamics.
🌊 Fluid Mechanics: I am strongly inclined towards Fluid Mechanics, delving into areas such as cardiovascular flow, wildfire dynamics, and unsteady aerodynamics. I also focus on developing computational methods and integrating machine learning methodologies to solve these complex problems.
🎓 Educational Background: I hold a Master’s degree in Aerospace Engineering, specializing in Aerodynamics, from IIT Kanpur, India. I had the privilege of working in the HPCL Lab with Dr. Tapan K. Sengupta and the LSA Lab with Dr. Kamal Poddar, where I focused on both Computational Fluid Mechanics and Wind Tunnel Measurements. My Bachelor's degree in Aeronautical Engineering from Anna University, Tamil Nadu, India, sparked my passion for Aerodynamics and solving PDEs.
🔬 Academic Research
- 🔥 Wildfire Dynamics:Discovered two new non-dimensional numbers governing convection-diffusion-reaction combustion models for the first time. Scaling analysis predicts future fire propagation without reliance on simulations (paper submitted).
- 🤖 Interpretable Machine Learning:Developed the ADAM-SINDy framework for system identification of non-linear dynamical systems, avoiding prior system knowledge (paper submitted).
- 🛩️ Pitching Airfoil:Identified upstream-convecting vortices (vortices advecting against the flow direction) on a pitching airfoil using Time-resolved PIV & Pressure measurements.
- 🌪️ 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.
🖥️ Software and Simulations
I have developed and optimized several programs/solvers related to scientific machine learning and fluid flow problems. Please note that if the links are unavailable or denied, the corresponding papers are still under review.