Sudhansh Peddabomma

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

Hello! I’m Sudhansh, a second-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 worked with Prof. Henrik Christensen on real-time dense 3D SLAM approaches based on NeRFs and Gaussian Splatting along with some traditional techniques. Furthermore, we submitted a conference paper to ICRA ‘25 on a novel table-top rearrangement algorithm addressing the limitations of scalability and optimal performance with the current available algorithms.

AT IIT Bombay, I worked with Prof. Ajit Rajwade on the Likelihood Maximization method for Saturation Compressed Sensing. We published a journal paper in Elsevier Signal Processing 2023 based on this work. Moreover, we have submitted a paper to ICASSP ‘24 on identifiction and correction of permutation errors in compressed-sensing based group testing.

In addition to this, I have worked with Prof. Marta Betcke from University College London 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

You can read more about my experience here! -

CV / Resume The main content on my website is available in the Articles section.

news

Sep 27, 2024 Started Teaching Assistantship for Design and Analysis of Algorithms
Apr 1, 2024 Started Teaching Assistantship for Theory of Computing
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

selected publications

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