Zichron Yaakov, Israel

Benjamin Mandler

USPTO Granted Patents = 11 

Average Co-Inventor Count = 3.9

ph-index = 6

Forward Citations = 796(Granted Patents)


Location History:

  • Zichron Yaskov, IL (2004)
  • Zichron Yaakov, IL (1999 - 2018)

Company Filing History:


Years Active: 1999-2018

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):

Title: The Innovative Contributions of Benjamin Mandler

Introduction

Benjamin Mandler is a notable inventor based in Zichron Yaakov, Israel. He has made significant contributions to the field of data management and messaging systems. With a total of 11 patents to his name, Mandler's work has had a profound impact on how data operations are conducted in modern technology.

Latest Patents

Mandler's latest patents include groundbreaking innovations such as a system for managing data operations in a quorum-based data replication system. This invention allows for efficient data operations by routing requests to a predefined minority of data replicas when strong consistency is not required. Additionally, he has developed a publish-subscribe system that reduces data storage and transmission requirements. This system utilizes wildcard subscriptions represented in an approximate membership set, enhancing the efficiency of data messaging.

Career Highlights

Mandler is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of technology. His work at IBM has allowed him to collaborate with some of the brightest minds in the industry, further enhancing his contributions to the field.

Collaborations

Some of Mandler's notable coworkers include Frank Bernhard Schmuck and Michael Edward Factor. Their collaborative efforts have led to advancements in various technological domains, showcasing the power of teamwork in innovation.

Conclusion

Benjamin Mandler's innovative spirit and dedication to advancing data management technologies have established him as a prominent figure in the field. His contributions continue to influence the way data operations are conducted, paving the way for future advancements.

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