Palo Alto, CA, United States of America

Igal Yaari

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 40(Granted Patents)


Company Filing History:


Years Active: 2016-2021

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3 patents (USPTO):Explore Patents

Title: Igal Yaari: Innovator in RF Energy Applications

Introduction

Igal Yaari is a notable inventor based in Palo Alto, California. He has made significant contributions to the field of radio frequency (RF) energy applications, holding three patents that showcase his innovative approach to object processing state sensing.

Latest Patents

Yaari's latest patents focus on the application of RF energy to determine the processing state of objects. One of his patents describes an apparatus and method for applying RF energy to an object placed in a cavity during processing. This method involves applying RF energy through at least one radiating element and receiving RF feedback indicative of the dielectric response of the cavity and the object to electromagnetic fields. The feedback is mathematically manipulated to obtain computed RF feedback, which is then used to determine one or more processing states of the object. Another patent outlines a method for detecting the processing state of an object in an energy application zone, which includes applying RF energy and monitoring computed RF feedback correlated with the object's processing states.

Career Highlights

Igal Yaari has established himself as a key figure in his field through his innovative work at Goji Limited. His expertise in RF energy applications has positioned him as a valuable asset in the development of advanced processing techniques.

Collaborations

Yaari has collaborated with notable colleagues, including Avner Libman and Yuval Ben Haim. Their combined efforts contribute to the advancement of technology in RF energy applications.

Conclusion

Igal Yaari's contributions to the field of RF energy applications demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of the complexities involved in object processing and state sensing.

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