Tel Aviv, Israel

Izchak Sharfman


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Izchak Sharfman: Innovator in Distributed Computing

Introduction

Izchak Sharfman is a notable inventor based in Tel Aviv, Israel. He has made significant contributions to the field of distributed computing, particularly through his innovative methods for monitoring threshold functions over distributed data sets. His work has implications for various applications in data processing and analysis.

Latest Patents

Izchak Sharfman holds a patent for a method that enhances distributed computing. The patent, titled "Monitoring threshold functions over distributed data sets," describes a process that involves processing multiple sets of data at respective computing nodes. It calculates local values of statistical parameters characterizing these data sets. A global condition is defined, which is violated when a function based on a weighted average of local values crosses a predetermined threshold. This method separates the global condition into local constraints evaluated independently at each node. When a local constraint is violated, it indicates a violation of the global condition.

Career Highlights

Sharfman is associated with the Technion Research & Development Foundation Limited, where he continues to advance research in distributed computing. His work is characterized by a focus on practical applications of theoretical concepts, bridging the gap between research and real-world implementation.

Collaborations

Throughout his career, Izchak Sharfman has collaborated with esteemed colleagues, including Assaf Schuster and Daniel Keren. These collaborations have fostered a rich environment for innovation and have contributed to the development of cutting-edge technologies in their field.

Conclusion

Izchak Sharfman's contributions to distributed computing exemplify the impact of innovative thinking in technology. His patent and collaborative efforts highlight the importance of research in advancing practical solutions for complex data processing challenges.

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