Thivin Anandh

PhD

Physics Informed Neural Networks, Scientific Machine Learning

HPC/FEM/CFD:
– Passionate about building scalable computational tools for CFD applications.
– Proven expertise in GPU-accelerated (CUDA) FEM-based particle deposition algorithms for fluid flows.
– Skilled in parallelising simulations using MPI/OpenMP environments.

Scientific Machine Learning:
– Enthuastic about crafting efficient algorithms for physics-informed neural networks (PINNs) and variational PINNs esspecially for fluid flows.
– Google Certified TensorFlow Developer.

thivinanandh@gmail.com
https://github.com/thivinanandh