Sudhansh Peddabomma

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.