Boise, ID, United States of America

Inderjit Singh Bains

USPTO Granted Patents = 13 


Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 61(Granted Patents)


Location History:

  • Irvine, CA (US) (2019 - 2023)
  • Boise, ID (US) (2016 - 2024)

Company Filing History:


Years Active: 2016-2025

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13 patents (USPTO):Explore Patents

Title: Inderjit Singh Bains: Innovator in Data Analysis Systems

Introduction

Inderjit Singh Bains is a prominent inventor based in Boise, ID (US), known for his significant contributions to data analysis technologies. With a total of 13 patents to his name, Bains has developed innovative methods and systems that enhance the efficiency of data processing and event reporting.

Latest Patents

Among his latest patents, Bains has created methods and systems for handling data received by a state machine engine. This data analysis system is designed to analyze incoming data through a data buffer and a state machine lattice, which includes multiple data analysis elements. Each element is equipped with memory cells that analyze portions of the data and output results. Another notable patent focuses on event reporting, where an automaton is implemented in a state machine engine to observe data streams and report events based on specific occurrences of target symbols.

Career Highlights

Inderjit Singh Bains is currently employed at Micron Technology Incorporated, where he continues to push the boundaries of data analysis technology. His work has been instrumental in developing systems that streamline data handling processes, making significant impacts in the field.

Collaborations

Bains has collaborated with notable colleagues such as Harold B. Noyes and David R. Brown, contributing to various projects that enhance the capabilities of data analysis systems.

Conclusion

Inderjit Singh Bains stands out as an influential inventor in the realm of data analysis, with a strong portfolio of patents that reflect his innovative spirit and dedication to advancing technology. His contributions continue to shape the future of data processing systems.

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