Chandler, AZ, United States of America

Dumitru-Daniel Dinu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Innovations of Dumitru-Daniel Dinu

Introduction

Dumitru-Daniel Dinu is an accomplished inventor based in Chandler, Arizona. He has made significant contributions to the field of technology, particularly in the area of number theoretic transforms. His innovative work has led to the development of a patent that enhances computational efficiency.

Latest Patents

Dinu holds a patent for a device titled "Low overhead side channel protection for number theoretic transform." This apparatus includes an input register that comprises an input polynomial. It features a processing datapath that is communicatively coupled to the input register, which includes a plurality of compute nodes designed to perform a number theoretic transform (NTT) algorithm on the input polynomial. The output of this process is an output polynomial in NTT format. The compute nodes consist of at least a first butterfly circuit that performs a series of butterfly calculations on input data, along with randomizing circuitry that randomizes the order of these calculations.

Career Highlights

Dumitru-Daniel Dinu is currently employed at Intel Corporation, a leading technology company known for its innovations in semiconductor manufacturing and computing technology. His role at Intel allows him to work on cutting-edge projects that push the boundaries of technology.

Collaborations

Dinu collaborates with talented professionals in his field, including Santosh Ghosh and Andrea Basso. These collaborations foster an environment of innovation and creativity, contributing to the advancement of technology.

Conclusion

Dumitru-Daniel Dinu's contributions to the field of technology through his patent and work at Intel Corporation highlight his role as a significant inventor. His innovative approach to number theoretic transforms showcases the potential for advancements in computational efficiency.

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