About me
I am a Postdoctoral Researcher at the Los Alamos National Laboratory. I earned my Ph.D. in June 2023 from the IISc - Bangalore, with a significant portion of my research conducted at Purdue University as a visiting student. I have worked on hybrid models for inverse problems as a part of my PhD thesis under the guidance of Prof. S. Gopalakrishan and Prof. S. Dyke. Prior to my doctoral studies, I served as a Research Fellow at the IIT- Kanpur, and completed my Master’s in 2018 at the IIST - Trivandrum. More about bio/cv.
My broader research interests include solving forward and inverse “spatiotemporal dynamical systems” with machine learning methods. Currently, I am developing
- foundational models for physical systems.
- latent evolution models to learn forward and inverse spatiotemporal dynamics in particle accelerators.
Some of areas which I have working/worked on are:
- Charged particle dynamics and Particle accelerators.
- Magnetohyrdodynamics and Tokamaks.
- Wave Propagation and Structural health monitoring in Aerospace.
- Material Identification in Aerospace Structures.
- Resilence and Cyber-physical testing of Smart habitats.
- Inspection robots.
More about my research projects is available here.
News
- Sept 28, 2055: MORPH paper is released on arxiv.
- March 21, 2025: Presenting @ APS 2025 conference on “PLEM-MHD: Physics-constrained latent evolution model for magnetohyrodynamics.”
- March 21, 2025: Chairing the session on “PINNs & ML - II” @ APS 2025 conference (Joint March April Meeting) in Anaheim, CA.
- Feb 4, 2025: RLEM paper 📄 is accepted for publication in Physical Review-E.