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 collaborated with Prof. Henrik Christensen on real-time dense 3D SLAM using NeRFs and Gaussian Splatting, along with some traditional techniques. We submitted a conference paper to ICRA '25 on a novel table-top rearrangement algorithm with scalable and optimal performance over the existing algorithms.

At IIT Bombay, I worked with Prof. Ajit Rajwade on the Likelihood Maximization for Saturated Compressed Sensing. We published a journal paper in Elsevier Signal Processing 2023 and submitted a paper to ICASSP '25 on permutation error correction in compressed-sensing based group testing.

I also 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


In summer 2024, I worked as a Computer Vision intern Duality AI, engineering pipelines to import digital twins generated by Gaussian Splatting on Unreal Engine. I also developed algorithms for robust reconstructions from multi-view camera poses of feature-less objects.

Previously, I worked as a data and applied scientist intern at Microsoft, developing pipelines to generate user-personalized contextual features for Outlook email recommendations.

As a software engineer intern at FinIQ, I developed pricing models for financial derivatives, including the Heston stochastic model to backsolve asset volatility. I also contributed to developing a parser to screen email quotations and reduce trade discard rates.



I’m passionate about entrepreneurship and collaboration. Hit me up to discuss research, startup ideas, or even sitcoms!

In high school, I participated in many competitive exams. Here are some of my achievements.

  • Secured AIR 178 in JEE Advanced 2019
  • Awarded Gold Medal for being in the Top 39 students in the Indian National Astronomy Olympiad in 2019
  • Secured 3rd rank in Statistics Olympiad conducted by AIMSCS across India and Sri Lanka in 2019
  • Among top 300 selected for Indian National Olympiads in Mathematics, Physics, and Chemistry in 2019
  • Recipient of the prestigious Kishore Vaigyanik Protsahan Yojana (KVPY) Fellowship in 2017 and 2018

You can read more about my experience here! -

CV / Resume

The main content on my website is available in the Articles section and the Projects 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