Chandler, AZ, United States of America

Pradnyesh S Gudadhe

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017-2022

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4 patents (USPTO):Explore Patents

Title: Pradnyesh S Gudadhe: Innovator in Data Compression Techniques

Introduction

Pradnyesh S Gudadhe is a notable inventor based in Chandler, AZ, who has made significant contributions to the field of data compression. With a total of 4 patents to his name, Gudadhe's work focuses on enhancing the efficiency of data handling through innovative compression techniques.

Latest Patents

Gudadhe's latest patents include a method for selecting a data compression technique based on input characteristics. This patent outlines a compression scheme that can be tailored to the specific attributes of an input data stream. For instance, it considers factors such as the type and size of the input stream, the length of patterns, and the distances between occurrences of patterns. Another significant patent involves a compression scheme that controls search agent activity. This method allows for the identification of longer character string matches within an input stream, optimizing the encoding process by prioritizing these longer matches for inclusion in the compressed output.

Career Highlights

Pradnyesh S Gudadhe is currently employed at Intel Corporation, where he continues to develop and refine his innovative ideas in data compression. His work at Intel has positioned him as a key player in advancing technology that enhances data processing capabilities.

Collaborations

Gudadhe has collaborated with several talented individuals in his field, including Lokpraveen B Mosur and Sailesh Bissessur. These collaborations have contributed to the development of cutting-edge technologies in data compression.

Conclusion

Pradnyesh S Gudadhe's contributions to data compression techniques reflect his innovative spirit and dedication to advancing technology. His patents not only showcase his expertise but also pave the way for more efficient data handling solutions in the future.

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