About me

I am a PhD student working with Prof. Jon Tamir at University of Texas at Austin. My current research interests are in using generative machine learning and other deep learning tools to improve medical imaging specially MRI, to solve inverse problems more efficiently, and other computer vision related tasks.

Before sept. 2020, I worked with Prof. Robert W. Heath Jr. on low-resolution DACs at UT Austin. I graduated with B.Tech and MS from the Indian Institute of Technology, Delhi. At IIT Delhi, I worked on wireless energy transfer, UAV based communication, supervised by Prof. Swades De at CNRG lab.

You can download my CV here.

I am in the job market in 2024! Please get in touch with me if you have any potential opportunities.

Recent Publications

Brett Levac, Sidharth Kumar , Ajil Jalal, and Jonathan I. Tamir, “Accelerated motion correction with deep generative diffusion models," Magnetic Resonance in Medicine, May 2024.(*Link)

Sidharth Kumar , Hamidreza Saber, Odelin Charron, Leorah Freeman, and Jonathan I. Tamir, “Correcting Synthetic MRI Contrast-Weighted Images using Deep Learning," Magnetic Resonance Imaging, Feb 2024.(*Link)

Srivathsa Pasumarthi, Sidharth Kumar , and Ryan Chamberlain, “A Contrastive Learning Approach for Unsupervised Anomaly Detection on Contrast-Enhanced Brain MRI Images," ISMRM, 2024.

Asad Aali, Marius Arvinte, Sidharth Kumar, and Jonathan I. Tamir, “Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data," IEEE Asilomar Conference on Signals, Systems & Computers, 2023. (*Link)

Brett Levac*, Sidharth Kumar*, Sofia Kardonik, and Jonathan I. Tamir, “FSE Compensated Motion Correction for MRI Using Data Driven Methods," MICCAI'22, Singapore, 2022. (*Link) (* Co-primary authors)

A detailed list can be found here: my Google Scholar profile.


Thesis

S. Kumar, "Dynamic Resource Allocation in UAV-enabled Communication Networks", M.S. Thesis, July, 2019.
S. Kumar, "Techniques and theoretical analysis for increasing RF-ET efficiency", B.Tech Thesis, July, 2017.

Project Reports

S. Kumar, and Robert W. Heath Jr., "Multicasting in Frequency Selective Channels with One-bit DACs", Project Report, May, 2020. (*Link)

R. M. Dreifuerst, A. Graff, S. Kumar, C. Unger, D. Bray, "End-to-End Radio Fingerprinting with Neural Networks", Project Report, May, 2020. (*Link)

Last updated : May 2024