Centereach, NY, United States of America

Niranjan Hasabnis



Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Centereach, NY (US) (2018)
  • Fremont, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2018-2025

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8 patents (USPTO):

Title: Innovations by Niranjan Hasabnis

Introduction

Niranjan Hasabnis is an accomplished inventor based in Centereach, NY (US). He holds a total of 8 patents, showcasing his expertise in the field of technology and innovation. His work primarily focuses on methods and systems that enhance the efficiency of computer programs.

Latest Patents

One of his latest patents is titled "Methods and apparatus to determine execution cost." This invention discloses methods, apparatus, systems, and articles of manufacture designed to determine the execution cost of a plurality of instructions. The apparatus includes memory, instructions, and processor circuitry that execute the instructions to determine an average execution cost and a standard deviation of execution costs, generating a mapping table that associates mnemonics with these metrics.

Another significant patent is "Execution placement of a computer program using a trained machine-learning model." This invention relates to determining the placement of a computer program's execution and involves training machine-learning models. The apparatus generates a graph representation of the program and uses machine-learning models to determine optimal execution placement across various hardware devices.

Career Highlights

Niranjan Hasabnis is currently employed at Intel Corporation, where he contributes to innovative projects that push the boundaries of technology. His work at Intel has allowed him to develop cutting-edge solutions that address complex computational challenges.

Collaborations

Some of his notable coworkers include Justin E Gottschlich and Celine Lee, who collaborate with him on various projects at Intel Corporation.

Conclusion

Niranjan Hasabnis is a prominent inventor whose contributions to technology through his patents have significantly impacted the field. His innovative approaches to execution cost determination and machine-learning applications demonstrate his commitment to advancing technology.

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