(My Google Scholar Profile, DBLP Profile)

Journal Publications

  1. Federated Over-the-Air Subspace Learning from Incomplete Data
    Praneeth Narayanamurthy, Namrata Vaswani, and Aditya Ramamoorthy,
    • to appear, IEEE Transactions on Signal Processing, Jun 2022.
  2. Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
    Praneeth Narayanamurthy, and Namrata Vaswani
    • IEEE Journal of Selected Areas in Information Theory, Dec. 2020.
  3. Provable Low-Rank Phase Retrieval and Compressive PCA
    Seyedehsara Nayer, Praneeth Narayanamurthy, and Namrata Vaswani
    • IEEE Transactions on Information Theory, Feb. 2020
  4. Provable Subspace Tracking from Missing Data and Matrix Completion
    Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani
    • IEEE Transactions on Signal Processing, June 2019.
    • Part of this paper was the finalist of the Best Student Paper Award at SPARS 2019.
  5. Provable Dynamic Robust PCA or Robust subspace tracking
    Praneeth Narayanamurthy and Namrata Vaswani,
    • IEEE Transactions on Information Theory, March 2019.
  6. Robust PCA, Subspace Learning, and Tracking
    Namrata Vaswani, Thiery Bouwmans, Sajid Javed, Praneeth Narayanamurthy,
    • IEEE Signal Processing Magazine, July 2018.
  7. Static and Dynamic Robust PCA and Matrix Completion: A Review
    Namrata Vaswani and Praneeth Narayanamurthy
    • Proceedings of IEEE, August 2018.

Conference and Workshop Publications

  1. Column-Based Matrix Approximation with Quasi-Polynomial Structure
    Jeongmin Chae, Praneeth Narayanamurthy, Selin Bac, Shaama Mallikarjun Sharada, and Urbashi Mitra, ICASSP 2023

  2. Uncertainty-Based Non-Parametric Active Peak Detection
    Praneeth Narayanamurthy and Urbashi Mitra, ISIT 2022

  3. Federated Over-Air Robust Subspace Tracking from Missing Data
    Praneeth Narayanamurthy, Namrata Vaswani, and Aditya Ramamoorthy, ICASSP 2022

  4. Phaseless PCA: Low-Rank Martix Recovery from Column-wise Phaseless Measurements
    Seyedehsara Nayer, Praneeth Narayanamurthy, and Namrata Vaswani, ICML 2019 (Acceptance rate=22.6%)

  5. Provable Subspace Tracking with Missing Entries
    Praneeth Narayanamurthy, Vahid Daneshpajooh, and Namrata Vaswani, ISIT 2019

  6. Provable Memory-Efficient Online Robust Matrix Completion
    Praneeth Narayanamurthy, Vahid Daneshpajooh, and Namrata Vaswani, ICASSP 2019

  7. Nearly Optimal Robust Subspace Tracking
    Praneeth Narayanamurthy and Namrata Vaswani, ICML 2018 (Long talk: acceptance rate=8.6%)

  8. Nearly Optimal Robust Subspace Tracking: A Unified Approach
    Praneeth Narayanamurthy and Namrata Vaswani, DSW 2018

  9. Provable Dynamic Robust PCA or Robust Subspace Tracking
    Praneeth Narayanamurthy and Namrata Vaswani, ISIT 2018

  10. PCA in Sparse Data-Dependent Noise
    Namrata Vaswani and Praneeth Narayanamurthy, ISIT 2018

  11. A Fast and Memory-Efficient Algorithm for Robust PCA (MERoP)
    Praneeth Narayanamurthy and Namrata Vaswani, ICASSP 2018

  12. Robust PCA and Robust Subspace Tracking: A comparative Evaluation
    Sajid Javed, Praneeth Narayanamurthy, Namrata Vaswani, Thierry Bouwmans, SSP 2018

  13. Finite Sample Guarantess for PCA in non-isotropic and data-dependent noise
    Namrata Vaswani and Praneeth Narayanamurthy, Allerton 2017

  14. Provably Correct Robust Subspace Tracking: A Correlated-PCA-based Approach
    Brian Lois, Namrata Vaswani, Praneeth Narayanamurthy, NeurIPS Workshop on Learning in High Dimension with Structure (LHDS), 2016

Theses

  1. Provable and Efficient Algorithms for Robust Subspace Learning and Tracking
    Ph.D. thesis, Department of Electrical and Computer Engineering, Iowa State University, July 2021.

  2. Estimation of Steep-Fronted and Full-Wave Lightning Channel-Base-Current function parameters using Genetic Algorithm
    B.Tech. thesis, Department of Electrical and Electronics Engineering, National Institute of Technology Surathkal, May 2014.