Research Interests
As a dedicated researcher in computer vision, I have innovated in image and video restoration algorithms, advancing the field through traditional and deep learning methods to solve imaging inverse problems. My vision is to establish a research group dedicated to the mathematical analysis and development of image reconstruction algorithms for both real-time and non-real-time applications..
Key research interests include:
- Learning-based Iterative Algorithms: Developing image restoration algorithms with provable convergence guarantees.
- Real-time and Power-efficient AI: Creating AI solutions for video restoration that are both real-time and energy-efficient.
- Deployable Generative Models: Designing generative models for practical image and video restoration applications.
- Accelerating Diffusion Models: Enhancing the computational efficiency of diffusion models through rigorous mathematical analysis.
Background
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Chief Engineer at the AI Video Processing Lab, Samsung Research Institute, Bengaluru (Post-Ph.D. until current role).
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Gained insights into the challenges of deploying state-of-the-art computer vision algorithms in practical applications on edge devices.
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Developed lightweight, computationally fast, and high-quality image restoration solutions in the semiconductor industry.
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Ph.D. in Electrical Engineering from the Indian Institute of Science, Bengaluru (Completed in 2022).
Supervised by Prof. Kunal Narayan Chaudhury.
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Focused on developing provably convergent iterative solutions for image restoration using learning-based image regularization.
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M.Sc. by Research in Electrical Engineering from the Indian Institute of Science, Bengaluru (Completed in 2018).
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Research predominantly addressed approximating filtering mechanisms to enable fast image regularization.
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Software Engineer at Pace Microtechnology, Bengaluru (2011-2014).
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B.Tech in Electronics and Communication Engineering from the Amrita School of Engineering, Coimbatore (Completed in 2011).
