Abijith Jagannath

Abijith Jagannath Kamath

PhD Student

Biography

Abijith Jagannath Kamath received the Bachelor of Technology degree from the Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Surathkal, India, in 2019. From May 2019 to Dec. 2019, he was a Project Associate at the Spectrum Lab, Department of Electrical Engineering, Indian Institute of Science (EE, IISc), Bengaluru, India. Since 2020, he has been pursuing the Ph.D. degree at EE, IISc. His research interests include sampling theories, nonconvex optimization, and machine learning for computational sensing and imaging. He is a recipient of the Prime Minister's Research Fellowship from 2020 to 2024, the Outstanding Teaching Assistant Award from EE, IISc in 2024 and the Qualcomm Innovation Fellowship India in 2025.

Publications

2025

  1. Weakly-Convex Regularization for Magnetic Resonance Image Denoising
    2025
  2. DeepFRI: A Deep Plug-and-Play Technique for Finite-Rate-of-Innovation Signal Reconstruction
    A. J. Kamath, S. B. Patil, and C. S. Seelamantula
    IEEE Transactions on Signal Processing, 2025
  3. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
  4. On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

2024

  1. K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula
    SIAM Journal on Imaging Sciences, 2024
  2. Neuromorphic Sensing Meets Unlimited Sampling
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  3. Variational Analysis of Adversarial Regularization for Solving Inverse Problems
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  4. Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors
    K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  5. Method of Alternating Proximations for Solving Linear Inverse Problems
    A. J. Kamath , N. K. K. Reddy, and C. S. Seelamantula
    In International Conference on Signal Processing and Communications (SPCOM), 2024

2023

  1. Neuromorphic sampling of signals in shift-invariant spaces
    arXiv preprint arXiv:2306.05103, 2023
  2. Multichannel time-encoding of finite-rate-of-innovation signals
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  3. Neuromorphic Sampling of Sparse Signals
    arXiv preprint arXiv:2310.15750, 2023

2022

  1. Differentiate-and-fire time-encoding of finite-rate-of-innovation signals
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

2021

  1. Time encoding of finite-rate-of-innovation signals
    arXiv preprint arXiv:2107.03344, 2021

2020

  1. A time-based sampling framework for finite-rate-of-innovation signals
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

2019

  1. FRI Modelling of Fourier Descriptors
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019