San Diego, CA, United States of America

Shahnaz Shirazi


Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Shahnaz Shirazi: Pioneering Innovations in Machine Learning and RF Technology

Introduction

Shahnaz Shirazi is an accomplished inventor based in San Diego, California, recognized for her contributions to the field of radio frequency (RF) technology. With a remarkable portfolio comprising two patents, she has made significant strides in advancing machine learning applications within RF circuit calibration.

Latest Patents

One of Shahnaz's latest patents revolves around "Machine learning-based radio frequency (RF) front-end calibration." This innovative methodology provides techniques and apparatus designed to calibrate RF circuits using machine learning. The process involves calibrating a first subset of RF circuit calibration parameters and predicting values for a second subset based on a machine learning model. The distinct nature of these subsets allows for enhanced accuracy and efficiency in RF circuit operations, ensuring that the parameters are verified and appropriately stored in memory associated with the RF circuit.

Career Highlights

Shahnaz Shirazi's work is prominently associated with Qualcomm Incorporated, a leading company in the telecommunications industry renowned for its cutting-edge technology. Her relentless pursuit of excellence and innovation has positioned her as a thought leader in her area of expertise, particularly in the intersection of machine learning and RF technology.

Collaborations

Throughout her career, Shahnaz has collaborated with talented colleagues like Lindsey Makana Kostas and Francisco Ledesma. These collaborations highlight the dynamic environment at Qualcomm, where innovation thrives through teamwork and shared expertise.

Conclusion

In conclusion, Shahnaz Shirazi exemplifies the spirit of innovation through her groundbreaking work in machine learning and RF circuit calibration. As a patent holder, her contributions not only advance the technology sector but also inspire future inventors to explore new frontiers in the engineering realm. Her journey reflects the intersection of creativity and technical expertise, making her a prominent figure in today’s innovative landscape.

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