Santa Clara, CA, United States of America

Aleksey Yanovich

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 25(Granted Patents)


Location History:

  • Campbell, CA (US) (2018)
  • Santa Clara, CA (US) (2013 - 2019)

Company Filing History:


Years Active: 2013-2019

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4 patents (USPTO):Explore Patents

Title: Aleksey Yanovich: Innovator in Virtual Sensor Technology

Introduction

Aleksey Yanovich is a prominent inventor based in Santa Clara, CA, known for his contributions to the field of virtual sensor technology. With a total of 4 patents to his name, Yanovich has made significant strides in automating sensor creation and enhancing data analysis processes.

Latest Patents

One of his latest patents is a method and apparatus to automatically create virtual sensors with templates. This innovative approach involves receiving a variety of virtual sensor templates from a server, selecting one based on desired functionality, and configuring it with specific parameters to create a virtual sensor. Another notable patent is a K-nearest neighbor-based method and system designed to provide multi-variate analysis on tool process data. This system creates a reference fingerprint for tools running specific recipes, allowing for performance comparisons and classifications based on sample data.

Career Highlights

Aleksey Yanovich is currently employed at Applied Materials, Inc., where he continues to develop cutting-edge technologies. His work focuses on improving the efficiency and accuracy of virtual sensors, which are crucial in various industrial applications.

Collaborations

Throughout his career, Yanovich has collaborated with talented professionals, including Thorsten Kril and Natalia Kroupnova. These partnerships have fostered innovation and contributed to the successful development of his patented technologies.

Conclusion

Aleksey Yanovich's work in virtual sensor technology exemplifies the impact of innovative thinking in the field of engineering. His patents not only advance the capabilities of sensor technology but also enhance the overall efficiency of industrial processes.

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