Qiryat Yam, Israel

Shlomit Koyfman

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Qiryat Yam, IL (2016 - 2020)
  • Armonim, IL (2020)

Company Filing History:


Years Active: 2016-2025

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4 patents (USPTO):Explore Patents

Title: Shlomit Koyfman: Innovator in Data Processing Technologies

Introduction

Shlomit Koyfman is a notable inventor based in Qiryat Yam, Israel. She has made significant contributions to the field of data processing, holding a total of four patents. Her work focuses on enhancing the efficiency and effectiveness of data workloads through innovative technologies.

Latest Patents

Koyfman's latest patents include groundbreaking systems for generating data planes for processing data workloads. One of her notable inventions involves a processor that generates a data plane based on dataset metadata, data governance decisions, and IT system metrics. This processor also applies components of the data plane for specified workloads across multiple computing devices selected by a control plane. Another significant patent addresses testing netlists based on singular independent signals. This method includes receiving a netlist comprising a complex coverage event that depends on a singular independent signal and modifying testing tools to test the netlist based on this signal.

Career Highlights

Shlomit Koyfman is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies that push the boundaries of data processing and analysis.

Collaborations

Koyfman collaborates with talented individuals such as Shiri Moran and Ziv Nevo. These partnerships enhance her innovative efforts and contribute to the development of advanced technologies in her field.

Conclusion

Shlomit Koyfman's contributions to data processing technologies through her patents and work at IBM highlight her as a leading inventor in her field. Her innovative approaches continue to shape the future of data management and processing.

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