Research

My research interests include Scientific Machine Learning (SciML), Gaussian Processes, and Computational Physics. I am also interested in algorithms and optimization. My research thesis is broadly focused on learning Green’s functions from data.

Publications Link to heading

• Praveen, H., Boullé, N., Earls, C.J. (2022) “Principled interpolation of Green’s functions learned from data,” Computer Methods in Applied Mechanics and Engineering, Elsevier, Vol. 409, 115971 arXiv:2211.06299

Talks Link to heading

• Data-driven discovery and interpolation of Green’s function, American Physical Society (APS) March Meeting, 2023
• Modelling Unkown System using “Continuous” Green’s functions learned from Data, Society for Industrial and Applied Mathematics (SIAM) Uncertainty Quantification, 2024

My CV has the most recent description of my projects.