Nofit, Israel

Dafna Sheinvald


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 87(Granted Patents)


Company Filing History:


Years Active: 1996-1997

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2 patents (USPTO):Explore Patents

Title: Dafna Sheinvald: Innovator in Distributed Data Processing

Introduction

Dafna Sheinvald is a prominent inventor based in Nofit, Israel. She has made significant contributions to the field of data processing, particularly in the area of distributed coding and prediction systems. With a total of 2 patents, her work has garnered attention for its innovative approach to data handling.

Latest Patents

One of Dafna's latest patents is titled "Distributed coding and prediction by use of contexts." This invention comprises a distributed data processing system that includes a plurality of data processing elements. It is designed to perform encoding or prediction functions based on a context-based model in an adaptive, optimal, and time-progressive manner. The system has access to each symbol of an input data string at each clock cycle, allowing it to generate context-relevant data sets. These data sets provide the best model for coding or prediction based on the input symbols. Each symbol and its best model for encoding or prediction emerge concurrently from the system, resulting in a favorable time complexity of O(n) for an n-symbol input data string.

Career Highlights

Dafna Sheinvald is currently employed at International Business Machines Corporation (IBM), where she continues to innovate in the field of data processing. Her work at IBM has positioned her as a key player in the development of advanced data processing technologies.

Collaborations

Dafna has collaborated with notable colleagues, including Gilbert Furlan and Jorma J Rissanen. These collaborations have further enriched her research and development efforts in the field.

Conclusion

Dafna Sheinvald's contributions to distributed data processing exemplify her innovative spirit and dedication to advancing technology. Her patents reflect a deep understanding of data systems and their applications, making her a significant figure in her field.

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