A Rye Nehorai - Nanotechnology

Author Information

Arye Nehorai is affiliated with the Preston M. Green Department of Electrical and Systems Engineering at Washington University in St. Louis, St. Louis, MO, USA. His research spans a variety of topics within electrical and systems engineering, leveraging advanced methodologies to contribute significantly to the field.

Research Contributions

Arye Nehorai has made substantial contributions to the field of electrical and systems engineering, with a focus on advanced signal processing, pattern recognition, and optimization methods. His recent work includes innovations in sparsity-assisted signal denoising, epidemic containment strategies, real-time stability prediction in power systems, and the development of low-complexity MIMO radar communication systems. Nehorai's research often intersects with practical applications, such as patient-centered interventions in healthcare and robust detection methods in single-molecule localization microscopy.

Aliases

Arye Nehorai is also known by several aliases, including A Nehorai, A Rye Nehorai, and A. Nehorai.

Publication and Citation Metrics

Citation Count	24,021
H-Index	72
Paper Count	583

Publications:

Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data

DOI: 10.1007/S00034-021-01774-X

Year: 2022

In Remembrance of Peter Schultheiss [In Memoriam]

DOI: 10.1109/MSP.2021.3065892

Year: 2021

Bounds on Estimation

DOI: 10.1007/978-3-030-44184-5_69

Year: 2021

Containing epidemics in a local cluster via antidote distribution and partial quarantine.

DOI: 10.1103/PhysRevE.104.034307

Year: 2021

Development of an Institution-Specific Readmission Risk Prediction Model for Real-time Prediction and Patient-Centered Interventions

DOI: 10.1007/s11606-020-06549-9

Year: 2021

Riemannian Geometric Optimization Methods for Joint Design of Transmit Sequence and Receive Filter of MIMO Radar

DOI: 10.1109/ICASSP39728.2021.9413665

Year: 2021

Real-time transient stability prediction and coherency identification in power systems using Koopman mode analysis

DOI: 10.1016/j.epsr.2021.107565

Year: 2021

A Low-Complexity MIMO Dual Function Radar Communication System via One-Bit Sampling

DOI: 10.1109/ICASSP39728.2021.9414051

Year: 2021

Robustly detecting imaging model mismatches and reconstruction artifacts in single-molecule localization microscopy

DOI: 10.1364/cosi.2021.ctu4b.5

Year: 2021

Local clustering via approximate heat kernel PageRank with subgraph sampling.

DOI: 10.1038/s41598-021-95250-w

Year: 2021

How Does the Immune System Respond?

What are Nanoshells and How Do They Work?

What are Miniaturized Isolation Systems?

What are the applications of EFM?

What are the Causes of Reputational Damage?

How Do Carbon Nanotubes Improve Displays?

What Determines the Accuracy of Models in Nanotechnology?

Can Nanotechnology Enhance Food Safety?

How does CPA work?

Why is Interpretability Important in Nanotechnology?

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