Email -
  • sudhansh6[at]gmail[dot]com
  • speddabomma[at]ucsd[dot]edu

Hello! I’m Sudhansh, a first-year Masters in Computer Science student at UC San Diego. I am a graduate of IIT Bombay, where I majored in Computer Science and Engineering with honors and pursued a minor in Entrepreneurship.

I have worked with Prof. Ajit Rajwade on the Likelihood Maximization method for Saturation Compressed Sensing. We are also working on developing algorithms for correction of Permutation Noise in Compressed Sensing. We have submitted a journal paper to Elsevier Signal Processing 2023 based on this work. In addition to this, I have worked with Prof. Marta Betcke on Stochastic Primal Dual algorithms for Tomographic Reconstruction of 3D volumes in Low-Dose conditions, and we have a journal paper in preparation.

Research Interests - Computer Vision, Image Processing, Robotics

CV / Resume


Jan 1, 2024 Started teaching assistantship for Quantum Cryptography
Nov 6, 2023 Paper on bounds for compressive signal recovery accepted at Signal Processing 2024.
Oct 15, 2023 Joined Cognitive Robotics Lab under the supervision of Prof. Henrik Christensen

latest posts

Jan 15, 2024 Object Detection
Jan 10, 2022 Numerical Analysis Notes
Jan 6, 2022 DiBS Notes

selected publications

  1. A likelihood based method for compressive signal recovery under Gaussian and saturation noise
    Shuvayan Banerjee, Sudhansh Peddabomma, Radhendushka Srivastava, and 1 more author
    Signal Processing, 2024