Mountain View, CA, United States of America

Tyler Griggs

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tyler Griggs. Retrieved from https://idiyas.com/inventor/tyler-griggs

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Tyler Griggs and Adaptive Network Recovery

Introduction

Tyler Griggs is an inventor based in Mountain View, California, and is associated with Google Inc. His patent work addresses how network nodes can identify and recover data packets lost during transmission.

Latest Patents

Griggs is credited with 1 patent: “Adaptive Network Systems and Methods for Identifying and Recovering Lost Packets.” The invention concerns systems and methods for transmitting data across a network. It describes network nodes maintaining invertible bloom lookup tables (IBLTs) based on received packets and exchanging IBLTs that reflect transmitted packets. The tables can vary in size to help identify lost packets, after which nodes can request missing data from upstream nodes.

Career Highlights

The available information associates Griggs with Google Inc. and identifies his patent on adaptive network systems as a contribution to methods for detecting and recovering lost packets.

Collaborations

Hadi Khodabandeh and Yong Wang are listed as Griggs’s coworkers. The provided information does not specify their roles in the patent.

Conclusion

Tyler Griggs’s patent focuses on helping network nodes detect missing data and recover it through communication with upstream nodes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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