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For the Inventor, By the Inventor

San Diego, CA, United States of America

Lindsey Makana Kostas

This inventor holds 7 USPTO granted patents and 6 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lindsey Makana Kostas. Retrieved from https://idiyas.com/inventor/lindsey-makana-kostas

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 7 

% Patents Active = 85.7

Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal7 out of 45,060 
 
Qualcomm Incorporated
 patents

Years Active: 2023-2026

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7 patents (USPTO):Explore Patents
1. 12737518 - Machine learning for netlist design (2026-09-15),
2. 12499146 - Machine learning and natural language processing (NLP)-based system for system-on-chip (SoC) troubleshooting (2025-12-16),
3. 12355480 - Machine learning-based radio frequency (RF) front-end calibration (2025-07-08),
4. 12282405 - Dynamic time windowing for dependencies of hardware-failure and log-file events in internet of things (IoT) and other devices (2025-04-21),
5. 11928411 - Machine learning-based integrated circuit test case selection for timing analysis (2024-03-12),
6. 11658708 - Codebook embedding generation and processing (2023-05-23),
7. 11637582 - Machine learning-based radio frequency (RF) front-end calibration (2023-04-25),

Title: Lindsey Makana Kostas: Innovator in Machine Learning and IoT Technologies

Introduction

Lindsey Makana Kostas is a prominent inventor based in San Diego, CA. She has made significant contributions to the fields of machine learning and Internet of Things (IoT) technologies. With a total of 7 patents to her name, Kostas is recognized for her innovative approaches to complex engineering challenges.

Latest Patents

Kostas's latest patents include groundbreaking work in machine learning-based radio frequency (RF) front-end calibration. This patent outlines techniques for calibrating RF circuits using machine learning, which enhances the accuracy and efficiency of RF circuit operations. Another notable patent focuses on dynamic time windowing for dependencies of hardware-failure and log-file events in IoT devices. This invention provides methods for troubleshooting electronic devices by analyzing performance data and identifying interdependencies among events.

Career Highlights

Kostas is currently employed at Qualcomm Incorporated, a leading company in wireless technology and telecommunications. Her work at Qualcomm has positioned her at the forefront of innovation in the tech industry. She has developed solutions that not only improve device performance but also enhance user experience in various applications.

Collaborations

Throughout her career, Kostas has collaborated with talented individuals such as Rishubh Khurana and Ahmed A Youssef. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Lindsey Makana Kostas is a trailblazer in the fields of machine learning and IoT, with a proven track record of innovation. Her contributions continue to shape the future of technology, making her a key figure in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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