Mountain View, CA, United States of America

Maksym I Zhenirovskyy


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Maksym I Zhenirovskyy

Introduction

Maksym I Zhenirovskyy is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of machine learning and system design, holding 2 patents that showcase his innovative approach to complex problem-solving.

Latest Patents

One of his latest patents is titled "Machine learning based systems and methods for real time, model based diagnosis." This invention relates to complex simulations and fault diagnosis. In this patent, a component causing delayed simulation time is identified, and a less complex component is designed to replace it. This updated system allows for quicker fault diagnosis, enhancing efficiency in various applications.

Another notable patent is "Method and system for component-based design of physical systems." This invention provides an automated approach to designing physical systems. The system utilizes a component library and design requirements to create an initial model. It then optimizes the system topology through multiple iterations, ultimately generating a final model that outputs a design solution.

Career Highlights

Maksym I Zhenirovskyy is currently employed at Palo Alto Research Center Inc., where he continues to push the boundaries of innovation in technology. His work focuses on enhancing the efficiency and effectiveness of system designs through advanced methodologies.

Collaborations

Throughout his career, Maksym has collaborated with notable colleagues such as Ion Matei and Johan De Kleer. These partnerships have contributed to the development of groundbreaking technologies and methodologies in their respective fields.

Conclusion

Maksym I Zhenirovskyy's contributions to machine learning and system design exemplify the spirit of innovation. His patents reflect a commitment to improving technology and efficiency in complex systems.

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