Harishwar Adithya S

Research Intern @Sissa Mathlab

Trieste, IT

Developed a Physics-Informed Neural Network (PINN) to employ neural networks to approximate solutions of PDEs• Solved Quasi - Geostrophic equations using a physics-based loss function and predicte for future time steps.• Conducted comparative analysis of results against existing numerical simulation methods (FVM) to validate accuracy.• Implemented a non-intrusive Reduced-Order Modeling (ROM) method to project high-dimensional data into a lower-dimensional latent space, enabling efficient training

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Indian Institute of Technology, Kharagpur

Dual degree (B.tech + M.tech)