Research Assistant May 2025 – Present

Zenteiq.ai, Indian Institute of Science (IISc), Bangalore

  • Working on high-impact industrial problem statements involving magnetic field prediction in complex stator geometries.
  • Implementing and optimizing Fourier Neural Operators (FNOs) and Wavelet Neural Operators (WNOs) for multi-scale physical systems.
  • Developing Geometry-aware variants (G-FNO, G-WNO) and GINOs to handle irregular domains and complex boundary conditions.
  • Building physics-constrained solvers using PINNs to ensure adherence to Maxwell's equations and conservation laws.

Research Scholar May 2024 – May 2025

National Institute of Technology, Kurukshetra

  • Conducted research on Physics-Informed Neural Networks (PINNs) for solving time-fractional and nonlinear PDEs.
  • Implemented PINNs in TensorFlow for Burgers–Huxley and Convection–Diffusion equations.

Research Intern Aug 2023 – May 2024

National Institute of Technology, Kurukshetra

  • Conducted comparative study of numerical solvers for ODEs and PDEs, analyzing accuracy, convergence, and computational efficiency.
  • Presented results through numerical experiments on classical PDEs.