Smbat Tonoyan

Title: Smbat Tonoyan: Innovator in Data Authentication and Processing

Introduction

Smbat Tonoyan is a notable inventor based in San Jose, CA. He has made significant contributions to the field of data authentication and processing, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is titled "Test data authentication and processing using scalable data structures." This system includes a memory and a processing device that perform operations such as receiving a header block of an ordered set of blocks. The header block contains a header block payload and a first digest, which are used to authenticate the header block and the first data block of the ordered set. The operations further include processing the first data block payload, enhancing the efficiency of data handling.

Another significant patent is the "System for automated data retrieval from an integrated circuit for event analysis." This invention describes a system that receives an alert indicating a trigger event associated with an integrated circuit (IC). It extracts data from multiple scan chains and random-access memories (RAMs) in response to the alert, stores the data in external non-volatile storage media, and reboots the IC. This method offers a scalable and secure approach for real-time data extraction and processing, improving diagnostics while ensuring cost-effectiveness and data security.

Career Highlights

Smbat Tonoyan is currently employed at Nvidia Corporation, where he continues to push the boundaries of technology through his innovative work. His contributions have been instrumental in advancing the capabilities of data processing systems.

Collaborations

Smbat has collaborated with notable colleagues such as Padmanabham Patki and Jue Wu, further enhancing the impact of his work in the field.

Conclusion

Smbat Tonoyan is a distinguished inventor whose work in data authentication and processing has led to significant advancements in technology. His patents reflect a commitment to innovation and a deep understanding of the complexities of data systems.