London, United Kingdom

Satyanarayana Katla

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):

Title: The Innovative Mind of Satyanarayana Katla

Introduction

Satyanarayana Katla is a prominent inventor based in London, GB. He has made significant contributions to the field of technology, particularly in the areas of deep learning and telecommunications. With a total of two patents to his name, Katla's work showcases his expertise and innovative spirit.

Latest Patents

Katla's latest patents include "Deep learning aided fingerprint based beam alignment" and "Method of non-orthogonal uplink multiplexing of heterogeneous information types." The first patent involves a method that processes input data, including user equipment location and desired receive signal strength, using a neural network to generate beam-pair indices. This method enhances the efficiency of beam alignment in communication systems. The second patent outlines a method for modulating different types of uplink information using advanced modulation techniques, allowing for improved transmission over allocated radio resources.

Career Highlights

Throughout his career, Satyanarayana Katla has worked with notable companies such as Idac Holdings, Inc. and InterDigital Patent Holdings, Inc. His experience in these organizations has contributed to his development as an inventor and has provided him with a platform to innovate and create impactful technologies.

Collaborations

Katla has collaborated with talented individuals in the field, including Alain Mourad and Mohammed El-Hajjar. These partnerships have likely fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Satyanarayana Katla's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the future of telecommunications and deep learning applications.

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