Karnataka, India

Shashi Kumar Bansal

This inventor holds 2 USPTO granted patents. Top assignee: Cisco Technology, Inc.. Active years: 2018.


% Patents Active = 50.0

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Karnataka, IN (2018)
  • Bengaluru, IN (2018)

Company Filing History:


Years Active: 2018

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2 patents (USPTO):Explore Patents

Title: Shashi Kumar Bansal: Innovator in Network Recovery and Rule Generation

Introduction

Shashi Kumar Bansal is a notable inventor based in Karnataka, India. He has made significant contributions to the field of technology, particularly in network recovery and optimal rule generation. With a total of 2 patents, Bansal's work showcases his innovative approach to solving complex problems in computing systems.

Latest Patents

Bansal's latest patents include "Peer-assisted image update with self-healing capabilities." In this invention, a device in a network receives update recovery data from a neighbor and monitors the neighbor during the installation of a software update. If an installation failure occurs, the device facilitates recovery using the update recovery data. Another significant patent is "Optimal rule generation from a digraph representation." This invention involves identifying terminal nodes in a digraph and back-walking primitives to generate optimal rules based on the identified chains.

Career Highlights

Shashi Kumar Bansal is currently employed at Cisco Technology, Inc., where he applies his expertise in technology and innovation. His work at Cisco has allowed him to contribute to advancements in network technology and software updates.

Collaborations

Bansal has collaborated with notable coworkers, including Samer Salam and Michael H Behringer, enhancing the innovative environment at Cisco.

Conclusion

Shashi Kumar Bansal's contributions to technology through his patents and work at Cisco Technology, Inc. highlight his role as a significant innovator in the field. His inventions not only address current challenges but also pave the way for future advancements in network recovery and rule generation.

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