Namrata Vaswani
Email: namrata@iastate.edu
Phone: 515-294-4012
Title(s):
Endowed Anderlik Professor
Office
3121 Coover2520 Osborn Dr.
Ames, IA 500111046
Information
Education
Ph.D., Electrical and Computer Engineering, University of Maryland (2004)
B.Tech., Electrical Engineering, Indian Institute of Technology (1999)
Research Areas
Core Area(s): Communications and signal processing, statistical machine learning — distributed and federated multi-task learning, low rank matrix recovery, dynamic MRI; math education for engineering success
Department’s Strategic Area(s): Data, decisions, networks & autonomy; bioengineering; engineering education (math skills for engineering success)
Publications
Google Scholar Profile: https://scholar.google.com/citations?user=s-dQPO8AAAAJ&hl=en
- A.A. Abbasi, N. Vaswani, “Efficient federated low rank matrix completion”, IEEE Trans. Information Theory, 2025
- A.P. Singh, N. Vaswani, “Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning”, ICML 2025
- A.P. Singh, N. Vaswani, “Byzantine Resilient and Fast Federated Few-Shot Learning”, ICML 2024
- N. Vaswani, “Efficient federated low rank matrix recovery via alternating gd and minimization: A simple proof”, IEEE Trans. Information Theory, 2024
- A.P. Singh, N. Vaswani, “Byzantine-resilient Federated PCA and Low Rank Column-wise Sensing”, IEEE Trans. Information Theory, 2024
- S. Nayer, N. Vaswani, “Fast and sample-efficient federated low rank matrix recovery from column-wise linear and quadratic projections”, IEEE Trans. Information Theory, 2023
- S. Babu, S. Lingala, N. Vaswani, “Fast Low Rank Column-wise Compressive Sensing for Accelerated Dynamic MRI”, IEEE Trans. Computational Imaging, 2023
- S. Nayer*, N. Vaswani, “Sample-Efficient Low Rank Phase Retrieval”, IEEE Trans. Information Theory, Dec., 2021.
Primary Strategic Research Area
Secure Cyberspace & Autonomy