| 2017 | ACSSC | Efficient online dictionary adaptation and image reconstruction for dynamic MRI. | Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler |
| 2017 | ICIP | Robust surface reconstruction from gradients via adaptive dictionary regularization. | Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi |
| 2017 | ICIP | Robust photometric stereo using learned image and gradient dictionaries. | Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi |
| 2016 | ACSSC | Free component analysis. | Hao Wu, Raj Rao Nadakuditi |
| 2015 | ACSSC | Improving multiset canonical correlation analysis in high dimensional sample deficient settings. | Nicholas Asendorf, Raj Rao Nadakuditi |
| 2015 | ACSSC | Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices. | Nicholas Asendorf, Raj Rao Nadakuditi |
| 2015 | ACSSC | Improved estimation of canonical vectors in canonical correlation analysis. | Nicholas Asendorf, Raj Rao Nadakuditi |
| 2015 | ACSSC | Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. | Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda Sulo Caceres, Steven Thomas Smith, Raj Rao Nadakuditi |
| 2015 | FUSION | OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices. | Himanshu Nayar, Raj Rao Nadakuditi |
| 2015 | ICASSP | Random matrix theory inspired passive bistatic radar detection with noisy reference signal. | Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi |
| 2015 | ICASSP | Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors. | Raj Tejas Suryaprakash, Brian E. Moore, Raj Rao Nadakuditi |
| 2014 | ACSSC | Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices. | Himanshu Nayar, Raj Rao Nadakuditi |
| 2011 | ACSSC | Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces. | Nicholas Asendorf, Raj Rao Nadakuditi |
| 2011 | ACSSC | Exploiting random matrix theory to improve noisy low-rank matrix approximation. | Raj Rao Nadakuditi |
| 2011 | ACSSC | Misaligned Principal Components Analysis: Application to gene expression time series analysis. | Arnau Tibau Puig, Ami Wiesel, Raj Rao Nadakuditi, Alfred O. Hero III |
| 2011 | ITA | Latency-optimizing file splitting for transmission over a large multi-hop network. | Raj Rao Nadakuditi, Mingyan Liu |