This inventor holds 2 USPTO granted patents and 6 published patent applications. Top assignee: General Electric Company. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Abhay Harpale: Innovator in Machine Learning and Prognostics
Introduction
Abhay Harpale is a notable inventor based in San Ramon, CA, who has made significant contributions to the fields of machine learning and automatic prognostics. With a total of 2 patents, he has developed innovative methods that enhance the detection of status changes in monitored entities.
Latest Patents
Harpale's latest patents include "Max-margin temporal transduction for automatic prognostics, diagnosis and change point detection." This invention focuses on a method for detecting status changes in monitored entities by utilizing time-series data from sensors. The process involves creating a predictive model, applying a transduction classifier, and identifying changes in the operational state of the monitored entity. His second patent, "Machine learning templates in a machine learning framework," outlines a system and method for creating templates associated with industrial problems by aggregating kernels from a machine learning library.
Career Highlights
Abhay Harpale is currently employed at General Electric Company, where he applies his expertise in machine learning to solve complex industrial challenges. His work has positioned him as a key player in the development of advanced predictive technologies.
Collaborations
Harpale collaborates with talented individuals such as Achalesh Kumar Pandey and Hao Huang, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Abhay Harpale's contributions to machine learning and prognostics demonstrate his commitment to advancing technology in meaningful ways. His innovative patents reflect a deep understanding of complex systems and a dedication to improving operational efficiencies.