Bel Air, MD, United States of America

Syed Ali Naqvi

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Syed Ali Naqvi

Introduction

Syed Ali Naqvi is a notable inventor based in Bel Air, MD (US). He has made significant contributions to the field of radio technology, particularly in the area of machine learning applications in radio-frequency systems. His work exemplifies the intersection of innovation and practical application in modern communication technologies.

Latest Patents

One of Syed Ali Naqvi's key patents is titled "Converged radio unit configured for semantic-less retransmissions." This patent describes a converged radio unit (RU) that integrates a radio-frequency machine learning (RFML) radio unit and a radio-access network (RAN) radio unit. The RFML RU is designed to receive an RF signal containing a packet, decode the PHY layer preamble of the packet, and utilize a machine-learning model to classify the packet based solely on the PHY layer preamble. If the packet is identified as a tactical data link (TDL) packet, the RFML RU will retransmit it. Conversely, if it is classified as a RAN protocol packet, the RFML RU will signal the RAN RU to process it according to the relevant RAN protocol. This innovative approach enhances the efficiency of data transmission in complex communication environments.

Career Highlights

Syed Ali Naqvi is currently employed at Rtx Bbn Technologies, Inc., where he continues to develop cutting-edge technologies in the field of radio communications. His expertise in machine learning and radio technology has positioned him as a valuable asset in his organization.

Collaborations

One of his notable coworkers is Colin Fumito Funai, with whom he collaborates on various projects within the company. Their combined expertise contributes to the advancement of innovative solutions in the industry.

Conclusion

Syed Ali Naqvi's contributions to the field of radio technology and machine learning demonstrate his commitment to innovation and excellence. His patent on the converged radio unit showcases the potential for improved communication systems in the future.

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