About me
Since December 2024, I’ve been working as a Systems Engineer in the AI Solutions Group at Texas Instruments' Dallas office.
I completed my PhD at the University of Texas at Austin, where I worked with Prof. Jon Tamir on developing generative machine learning and deep learning techniques to improve medical imaging—particularly MRI—and tackle inverse problems more efficiently.
Earlier in my PhD, I worked with Prof. Robert W. Heath Jr. on low-resolution DACs for wireless communication. I hold a B.Tech and M.S. from the Indian Institute of Technology, Delhi, where I worked on wireless energy transfer and UAV-based communication under the guidance of Prof. Swades De at the CNRG lab.
You can download my CV here.
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