I am Mamta Saini, working as a Scientific Machine Learning Engineer at Zenteiq.ai, which is incubated at IISc Bangalore, while pursuing my Master’s degree in Mathematics from NIT Kurukshetra. During my Master’s studies, I developed a strong interest in the area of scientific machine learning when I started working with Physics-Informed Neural Networks (PINNs). Initially, I applied PINNs to solve classical partial differential equations, and later I expanded my work to address fractional models using numerical methods.

As I continued my research, I became more interested in advanced techniques like variational PINNs and neural operators, including Fourier Neural Operators, Wavelet Neural Operators, and Geometry-Informed Neural Operators. These methods helped me learn and model problems across various geometries, boundary conditions, and domains in a much better way. This blend of mathematics and machine learning has motivated me to solve challenging problems in science and engineering, and I am excited to continue growing in this field.