0000-0003-4022-0887 About
I am a research associate in Department of Mathematics at Indian Institute of Technology, Jodhpur. I have completed my Ph.D. in Mathematics, Bioinformatics, and Computer Applications at Maulana Azad National Institute of Technology (MANIT), Bhopal. My research primarily focuses on medical image analysis, combining variational techniques with deep learning models to develop advanced solutions for healthcare imaging challenges.
Over the course of my academic journey, I have been fortunate to receive several notable awards and fellowships in recognition of my research contributions. These include:
M.P. Young Scientist Award (First Position)
Fellowship for the Training of Young Scientists
Young Scientist Award for Poster Presentation at the India International Science Festival (IISF-2023)
I am also a gold medalist in my Master’s degree, which reflects my commitment to academic excellence.
My research interests lie at the intersection of applied mathematics, computer vision, and artificial intelligence, with a goal of developing practical solutions for medical imaging and healthcare technologies.
Employment
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Indian Institute of Technology Bombay2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- A unified framework for lung disease screening using chest X-ray images Save
- Combining the Variational and Deep Learning Techniques for Classification of Video Capsule Endoscopic Images Save
- A Comparative Study of Data Driven Regularize Optical Flow Estimation Models Save
- A Non-Local Weighted Fractional Order Variational Model for Motion Estimation Save
- Optical Flow with Non-local Weight and Fractional Order Regularization: A Variational Model with Superpixel Algorithm for Various Application Oriented Spectrum Save
- Early Detection of Diabetic Foot Ulcers Using Optical Flow–Based Ensemble Learning CNN Framework Save
- A Relative Analysis of Different CNN Based Models for COVID-19 Detection using CXR and CT Images Save
- A nonlinear fractional order variational model for the robust estimation of optical flow Save
- Early Detection of Diabetic Foot Ulcers Using Optical Flow–Based Ensemble Learning CNN Framework Save
- Ensemble learning and skip connection-based CNN framework for COVID-19 identification using CXR and CT images Save