Tel Aviv, Israel

Michal Segalov

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • Haifa, IL (2015 - 2016)
  • Tel Aviv, IL (2016)

Company Filing History:


Years Active: 2015-2016

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4 patents (USPTO):Explore Patents

Title: Michal Segalov: Innovator in Network Utilization Metrics

Introduction

Michal Segalov is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of network utilization, holding a total of 4 patents. His work focuses on optimizing network performance and fairness, which is crucial in today's data-driven world.

Latest Patents

One of Michal's latest patents is titled "Flow Utilization Metrics." This invention involves a method for determining the utilization of a network by calculating flow values for multiple flows and determining growth factors for each flow. This method allows for a comprehensive understanding of network performance. Another notable patent is "Iterative Max-Min Fairness Algorithms." This invention provides systems and methods for allocating network resources among various traffic demands to enhance fairness and overall network utilization. The algorithms described in this patent converge toward an upward max-min fair allocation, ensuring that no traffic demand can be increased without removing larger demands from the network.

Career Highlights

Michal Segalov is currently employed at Google Inc., where he continues to innovate and develop solutions that address complex networking challenges. His expertise in network utilization has positioned him as a valuable asset in the tech industry.

Collaborations

Throughout his career, Michal has collaborated with notable colleagues, including Dan Raz and Avinatan Hassidim. These partnerships have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

In summary, Michal Segalov is a distinguished inventor whose work in network utilization metrics and fairness algorithms has made a significant impact in the field. His contributions continue to shape the future of networking technology.

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