Richardson, TX, United States of America

Vamseedhar Reddyvariraja


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Vamseedhar Reddyvariraja: Innovator in Network Delay Estimation

Introduction

Vamseedhar Reddyvariraja is a notable inventor based in Richardson, TX (US). He has made significant contributions to the field of network technology, particularly in the estimation of network port delays. With a total of 2 patents, his work has the potential to enhance network performance and reliability.

Latest Patents

Reddyvariraja's latest patents include innovative methods for estimating network port delays. The first patent, titled "Data-driven estimation of network port delay," presents a computational method and system that utilizes data-driven estimation with quadratic programming. This approach allows for the estimation of port delays for each individual port in a network without the need for direct measurements using sensors. The second patent, "Neural network learning methods to identify network ports responsible for packet loss or delay," introduces a system that employs a neural network learning function. This method identifies problematic ports in the network based on previously collected path data, again eliminating the need for sensor measurements.

Career Highlights

Vamseedhar Reddyvariraja is currently employed at Fujitsu Corporation, where he continues to develop innovative solutions in network technology. His expertise in computational methods and systems has positioned him as a valuable asset in his field.

Collaborations

Reddyvariraja has collaborated with notable colleagues, including Xi Liu and Max Simmons, to further advance his research and development efforts.

Conclusion

Vamseedhar Reddyvariraja's contributions to network technology through his patents demonstrate his commitment to innovation and improvement in the field. His work not only addresses current challenges but also paves the way for future advancements in network performance.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…