Santa Clara, CA, United States of America

Kahraman D Akdemir


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kahraman D Akdemir: Innovator in Secure Data Storage

Introduction

Kahraman D Akdemir is a notable inventor based in Santa Clara, CA (US). He has made significant contributions to the field of secure data storage, particularly in the context of thread network devices. His innovative approach addresses the growing need for secure management of datasets in networked environments.

Latest Patents

Kahraman D Akdemir holds a patent for "Secure storage of datasets in a thread network device." This patent outlines a method for implementing a thread device that associates with a thread network. The device includes a network processor, a first memory, and a host processor that are communicatively coupled. The first memory is a nonvolatile memory with a first level of security protection, designed to store a dataset that includes thread network parameters. This allows the network processor to effectively manage network functions for the thread device. Additionally, the network processor is connected to a second memory that stores a duplicate dataset, which has a lower level of security protection.

Career Highlights

Kahraman D Akdemir is currently employed at Apple Inc., where he continues to innovate in the field of technology. His work focuses on enhancing the security and efficiency of data storage solutions. With a patent portfolio that includes 1 patent, he has established himself as a key player in the industry.

Collaborations

Kahraman has collaborated with talented individuals such as Venkateswara Rao Manepalli and Amit Gulia. These collaborations have contributed to the development of advanced technologies and solutions in their respective fields.

Conclusion

Kahraman D Akdemir is a distinguished inventor whose work in secure data storage is paving the way for advancements in network technology. His contributions are vital in addressing the challenges of data security in modern applications.

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