| Time series source separation using dynamic mode decomposition A Prasadan, RR Nadakuditi SIAM Journal on Applied Dynamical Systems 19 (2), 1160-1199, 2020 | 5 | 2020 |
| Phase transitions in the dynamic mode decomposition algorithm A Prasadan, A Lodhia, RR Nadakuditi 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 4 | 2019 |
| Synthetic threat injection using digital twin informed augmentation D Krofcheck, E John, H Galloway, A Sorensen, C Jameson, C Aubry, ... Anomaly Detection and Imaging with X-Rays (ADIX) VII 12104, 50-55, 2022 | 3 | 2022 |
| The finite sample performance of Dynamic Mode Decomposition A Prasadan, RR Nadakuditi 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 3 | 2018 |
| Partitioning communication streams into graph snapshots JD Wendt, R Field, C Phillips, A Prasadan, T Wilson, S Soundarajan, ... IEEE Transactions on Network Science and Engineering 10 (2), 809-826, 2022 | 2 | 2022 |
| Resilient adjudication in non-intrusive inspection with hierarchical object and anomaly detection D Krofcheck, E John, H Galloway, A Sorensen, C Jameson, C Aubry, ... Anomaly Detection and Imaging with X-Rays (ADIX) VII 12104, 98-105, 2022 | 2 | 2022 |
| Sparse equisigned PCA: Algorithms and performance bounds in the noisy rank-1 setting A Prasadan, RR Nadakuditi, D Paul | 1 | 2020 |
| The Average Spectrum Norm and Near-Optimal Tensor Completion O López, R Lehoucq, C Llosa-Vite, A Prasadan, DM Dunlavy arXiv preprint arXiv:2404.10085, 2024 | | 2024 |
| Developing a comprehensive, adaptive system for large scale x-ray images R Forrest, D Krofcheck, E John, H Galloway, A Sorensen, C Jameson, ... Anomaly Detection and Imaging with X-Rays (ADIX) VII 12104, 56-61, 2022 | | 2022 |
| Sketching Algorithms in Distributed Systems A Prasadan Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Machine Learning with Synthetic Data: What Approaches are Most Effective?. J Galasso, R Forrest, A Prasadan Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021 | | 2021 |
| Quantifying Graph Uncertainty from Communication Data JD Wendt, JR Field, V Richard, CA Phillips, A Prasadan Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Synthetic Data Generation. A Prasadan Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Learning, Inference, and Unmixing of Weak, Structured Signals in Noise A Prasadan | | 2020 |
| Detecting the Presence of Hidden Errors RB Lehoucq, C Mayer, A Prasadan, GJ Saavedra 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
Raj Rao NadakuditiAssociate Professor, University of MichiganVerified email at umich.edu
