Givatayim, Israel

Vsevolod Mountaniol

This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignee: Sandisk Technologies Inc.. Active years: 2017-2018.

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2017-2018

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4 patents (USPTO):Explore Patents

Title: Vsevolod Mountaniol: Innovator in Non-Volatile Memory Solutions

Introduction

Vsevolod Mountaniol is a notable inventor based in Givataim, IL. He has made significant contributions to the field of memory technology, holding a total of 4 patents. His work primarily focuses on enhancing the efficiency and performance of memory systems.

Latest Patents

Among his latest patents is a method and system for using non-volatile memory as a replacement for volatile memory. This innovative approach allows a host to communicate with a memory system that includes both volatile and non-volatile memory. The system intelligently analyzes data to determine the most suitable storage option, optimizing performance and endurance. Another significant patent involves a method and computing device for controlling the bandwidth of swap operations. This invention utilizes a non-volatile memory swap area to extend volatile memory capabilities, enhancing application pre-loading and data encryption.

Career Highlights

Vsevolod Mountaniol is currently employed at Sandisk Technologies Inc., where he continues to develop cutting-edge memory solutions. His expertise in memory technology has positioned him as a key player in the industry, contributing to advancements that benefit various computing applications.

Collaborations

He has collaborated with notable colleagues, including Robert S Wu and Jian Feng Chen, further enriching the innovative environment at Sandisk Technologies Inc.

Conclusion

Vsevolod Mountaniol's contributions to non-volatile memory technology exemplify his commitment to innovation in the field. His patents reflect a deep understanding of memory systems and their potential to enhance computing performance.

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