Education

Research Lab Abroad Fellowship (Visvesvaraya PhD Scheme, MeitY). During this research stay, I focused on hyperspectral image restoration with generative models, using the opportunity to connect computer-vision methods with scientific imaging problems and to work in an interdisciplinary research environment.

My doctoral research focuses on visual learning and generative representations for image restoration and hyperspectral imaging. The work spans image restoration, hyperspectral reconstruction, super-resolution and emerging representations such as neural fields and Gaussian splatting, with an emphasis on building practical and physically meaningful reconstruction methods.

Worked on computer-vision methods for industrial automation, combining hyperspectral imaging with stereo vision for volume estimation. This experience provided an early bridge between multimodal sensing, image analysis and applied vision systems.

Completed an M.Tech. thesis on a predictive framework for Parkinson's disease analysis. The work developed my experience in machine learning, predictive modelling and research-oriented experimentation, and was subsequently published by Springer Nature in 2023.

Completed a B.Tech. project on an IoT-based home automation system, combining sensor integration with wireless communication. The project gave me an early foundation in programming, system integration and building end-to-end technology prototypes.