Muhammad Murtaza Tantry

Research Scholar at Vellore Institute of Technology (VIT).

School of Advanced Science (SAS)

VIT, Vellore

Tamil Nadu, India

Welcome to my academic homepage. I am a full-time Research Scholar at the School of Advanced Science (SAS) at VIT, Vellore, working under the supervision of Dr. Padigepati Naveen.

My research lies at the intersection of Computational Fluid Dynamics (CFD) and scientific machine learning. I specifically focus on the boundary layer flow of non-Newtonian. To solve these complex fluid mechanics problems, I develop and implement Physics-Informed Neural Networks (PINNs), bridging the gap between traditional numerical methods and modern deep learning frameworks.

Research Interests

  • Computational Fluid Dynamics (CFD)
  • Physics-Informed Neural Networks (PINNs)

Technical Skills

  • Scientific Computing: Python, MATLAB, PyTorch, DeepXDE
  • Infrastructure & Tools: High-Performance Computing (Slurm), LaTeX, Matplotlib

selected publications

  1. Aggregation kinematics on gold nanoparticles in radiating viscoelastic second-grade fluid flow with Thomson and Troian velocity slip condition
    Muhammad Murtaza Tantry and Padigepati Naveen
    Journal of Thermal Analysis and Calorimetry, 2025