Pullman, WA, United States of America

Krishnamoorthy Sivakumar

This inventor holds 1 USPTO granted patent. Top assignee: Washington State University. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krishnamoorthy Sivakumar. Retrieved from https://idiyas.com/inventor/krishnamoorthy-sivakumar-jc2nxr8s

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Krishnamoorthy Sivakumar: Inventor in Magnetic Recording Technology

Introduction

Krishnamoorthy Sivakumar is an inventor associated with Washington State University in Pullman, Washington. His patent work addresses signal detection and media noise prediction for magnetic recording systems.

Latest Patents

Sivakumar is associated with 1 patent: “Deep Neural Network A Posteriori Probability Detectors and Media Noise Predictors for One- and Two-Dimensional Magnetic Recording.” The invention describes a deep neural network media-noise predictor for one-dimensional and two-dimensional magnetic recording. It can be combined with trellis-based intersymbol-interference detection in a turbo architecture, separating signal detection from media-noise estimation while exchanging information between the components. The approach aims to reduce bit-error rates, increase areal density, and lower computational complexity and processing time.

Career Highlights

Sivakumar’s patent work focuses on applying deep learning to challenges in magnetic data storage. The described system uses trained neural-network-based estimators to model media noise while helping avoid the state-explosion problem associated with more complex detection architectures.

Collaborations

The patent lists Jinlu Shen and Amirhossein Sayyafan among Sivakumar’s coworkers. His work is associated with Washington State University.

Conclusion

Krishnamoorthy Sivakumar’s patented work combines deep neural networks with magnetic-recording detection methods to pursue more efficient and reliable data storage.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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