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Computer Science

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5921
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10261
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Overview

Namrata Vaswani is affiliated with Iowa State University in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a significant focus on Computational Mechanics, Electrical and Electronic Engineering, and Signal Processing. Their interdisciplinary work also touches on Radiology, Nuclear Medicine and Imaging, as well as Biomedical Engineering.

Their scholarly output is concentrated around topics such as Sparse and Compressive Sensing Techniques, Blind Source Separation Techniques, Microwave Imaging and Scattering Analysis, and Indoor and Outdoor Localization Technologies. Additional key topics include Advanced MRI Techniques and Applications, Advanced X-ray Imaging Techniques, and Medical Imaging Techniques and Applications.

Namrata Vaswani has published extensively, with a frequent presence in the following publication venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE Transactions on Computational Imaging
  • IEEE Transactions on Signal Processing

Their recent papers include:

  • Fast Low Rank Column-Wise Compressive Sensing for Accelerated Dynamic MRI, 2023, IEEE Transactions on Computational Imaging
  • Provable Low Rank Phase Retrieval, 2020, IEEE Transactions on Information Theory
  • Fast and Sample-Efficient Federated Low Rank Matrix Recovery From Column-Wise Linear and Quadratic Projections, 2022, IEEE Transactions on Information Theory
  • Federated Over-Air Subspace Tracking From Incomplete and Corrupted Data, 2022, IEEE Transactions on Signal Processing
  • Nonconvex Structured Phase Retrieval: A Focus on Provably Correct Approaches, 2020, IEEE Signal Processing Magazine

Collaboration is a notable aspect of their research, with frequent co-authors including Silpa Babu, Sajan Goud Lingala, Seyedehsara Nayer, Praneeth Narayanamurthy, and Shana Moothedath.

Best Publications

  • Modified-CS: Modifying compressive sensing for problems with partially known support

    Namrata Vaswani;Wei Lu

  • Kalman filtered Compressed Sensing

    N. Vaswani

  • Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

    Namrata Vaswani;Thierry Bouwmans;Sajid Javed;Praneeth Narayanamurthy

  • Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours

    Y. Rathi;N. Vaswani;A. Tannenbaum;A. Yezzi

  • Recognition of dynamic hand gestures

    Aditya Ramamoorthy;Namrata Vaswani;Santanu Chaudhury;Subhashis Banerjee

  • Activity recognition using the dynamics of the configuration of interacting objects

    N. Vaswani;A. Roy Chowdhury;R. Chellappa

  • LS-CS-Residual (LS-CS): Compressive Sensing on Least Squares Residual

    N Vaswani

  • "Shape Activity": a continuous-state HMM for moving/deforming shapes with application to abnormal activity detection

    N. Vaswani;A.K. Roy-Chowdhury;R. Chellappa

  • An Online Algorithm for Separating Sparse and Low-Dimensional Signal Sequences From Their Sum

    Han Guo;Chenlu Qiu;Namrata Vaswani

  • Particle filtering for geometric active contours with application to tracking moving and deforming objects

    Yogesh Rathi;N. Vaswani;A. Tannenbaum;A. Yezzi

  • Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise

    Chenlu Qiu;Namrata Vaswani;Brian Lois;Leslie Hogben

  • Modified Basis Pursuit Denoising(modified-BPDN) for noisy compressive sensing with partially known support

    Wei Lu;Namrata Vaswani

  • Static and Dynamic Robust PCA and Matrix Completion: A Review

    Namrata Vaswani;Praneeth Narayanamurthy

  • Regularized Modified BPDN for Noisy Sparse Reconstruction With Partial Erroneous Support and Signal Value Knowledge

    Wei Lu;Namrata Vaswani

  • Recursive Recovery of Sparse Signal Sequences From Compressive Measurements: A Review

    Namrata Vaswani;Jinchun Zhan

  • A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior

    Y. Rathi;N. Vaswani;A. Tannenbaum

  • Principal components null space analysis for image and video classification

    N. Vaswani;R. Chellappa

  • Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing

    Chenlu Qiu;Wei Lu;Namrata Vaswani

  • Real-time Robust Principal Components' Pursuit

    Chenlu Qiu;Namrata Vaswani

  • Modified compressive sensing for real-time dynamic MR imaging

    Wei Lu;Namrata Vaswani

  • Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications [Scanning the Issue]

    Namrata Vaswani;Yuejie Chi;Thierry Bouwmans

  • ReProCS: A Missing Link between Recursive Robust PCA and Recursive Sparse Recovery in Large but Correlated Noise

    Chenlu Qiu;Namrata Vaswani

Frequent Co-Authors

Rama Chellappa
Rama Chellappa Johns Hopkins University
Thierry Bouwmans
Thierry Bouwmans University of La Rochelle
Yogesh Rathi
Yogesh Rathi Brigham and Women's Hospital
Allen Tannenbaum
Allen Tannenbaum Stony Brook University
Amit K. Roy-Chowdhury
Amit K. Roy-Chowdhury University of California, Riverside
Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Yuejie Chi
Yuejie Chi Carnegie Mellon University
Zhouchen Lin
Zhouchen Lin Peking University
Jin U. Kang
Jin U. Kang Johns Hopkins University

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