San Francisco, CA, United States of America

Christopher Thomas Faykus

USPTO Granted Patents = 8 

Average Co-Inventor Count = 8.0

ph-index = 4

Forward Citations = 78(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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8 patents (USPTO):Explore Patents

Title: Innovations of Christopher Thomas Faykus

Introduction

Christopher Thomas Faykus is an accomplished inventor based in San Francisco, CA. He holds a total of 8 patents, showcasing his innovative contributions to technology and user safety. His work primarily focuses on methods and systems that enhance monitoring and analysis of user behavior.

Latest Patents

One of his latest patents is a method and system for monitoring a user's intoxication. This invention includes receiving a set of signals derived from samples collected from the user at specific time points. It provides a sobriety task to the user near these time points and generates a performance dataset that characterizes the user's performance on the task. Additionally, it receives a supplementary dataset that characterizes the user's demographic profile and/or physiological state. The system determines values of an intoxication metric from the signals and generates a predicted temporal profile of this metric based on the values, time points, and supplementary dataset. Finally, it analyzes the user's sobriety based on the performance dataset and the predicted profile, providing notifications to the user based on this analysis.

Career Highlights

Christopher is currently employed at KHN Solutions, Inc., where he continues to develop innovative solutions. His work has significantly impacted the field of user monitoring and safety.

Collaborations

Some of his notable coworkers include Keith Harry Nothacker and Pauline Anne Basaran, who contribute to the collaborative environment at KHN Solutions, Inc.

Conclusion

Christopher Thomas Faykus exemplifies innovation in the field of user monitoring with his patented technologies. His contributions are vital in enhancing safety and understanding user behavior.

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