San Diego, CA, United States of America

Venkatasubramanian Narayanan

USPTO Granted Patents = 12 

 

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2014-2019

where 'Filed Patents' based on already Granted Patents

12 patents (USPTO):

Title: Venkatasubramanian Narayanan: Innovator in Memory Circuit Technology

Introduction

Venkatasubramanian Narayanan is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of memory circuit technology, holding a total of 12 patents. His work focuses on enhancing the performance and efficiency of memory circuits, which are crucial in modern computing.

Latest Patents

One of his latest patents is titled "Apparatus and method of clock shaping for memory." This invention describes a memory circuit that includes a clock delay circuit. The clock delay circuit utilizes the polarity of a write enable signal to determine whether to perform a write or read operation on the memory. This innovation aims to provide the desired clock latency to the memory. The clock delay circuit is designed with both a low skew portion and a high skew portion. The selection between these portions depends on the status of the write enable line, such as its polarity or logical value.

Career Highlights

Venkatasubramanian Narayanan is currently employed at Qualcomm Incorporated, a leading company in the telecommunications and semiconductor industry. His work at Qualcomm has allowed him to push the boundaries of memory technology and contribute to advancements in the field.

Collaborations

He has collaborated with notable coworkers, including Bilal Zafar and Dorav Kumar. These collaborations have fostered an environment of innovation and creativity, leading to the development of cutting-edge technologies.

Conclusion

Venkatasubramanian Narayanan is a key figure in the realm of memory circuit innovation. His contributions, particularly in clock shaping technology, have the potential to significantly impact the efficiency of memory operations in computing systems. His work continues to inspire advancements in the field.

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