San Francisco, CA, United States of America

John Chmiola

USPTO Granted Patents = 8 

Average Co-Inventor Count = 5.9

ph-index = 3

Forward Citations = 81(Granted Patents)


Company Filing History:


Years Active: 2019-2025

Loading Chart...
8 patents (USPTO):

Title: John Chmiola: Innovator in Sensor Technology

Introduction

John Chmiola is a prominent inventor based in San Francisco, CA, known for his significant contributions to sensor technology. With a total of eight patents to his name, Chmiola has been at the forefront of developing innovative solutions that enhance the capabilities of wearable sensors.

Latest Patents

Chmiola's latest patents include groundbreaking methods and systems for reconfiguring sensors based on machine learning integration. One of his notable inventions involves a system that receives parameters from sensors and associates them with digital signatures in a database. This machine learning system is trained to identify new digital signatures, thereby improving the accuracy and functionality of sensor data. Another patent focuses on a sensors-as-a-service platform, which allows for the upgrading of sensor capabilities based on user selections. This ecosystem enhances the performance of sensors by providing updates that correspond to new levels of capabilities.

Career Highlights

Chmiola currently works at Lyten, Inc., where he continues to push the boundaries of sensor technology. His work has been instrumental in developing systems that leverage machine learning to improve sensor accuracy and functionality. His innovative approach has garnered attention in the tech community, positioning him as a leader in the field.

Collaborations

Chmiola collaborates with talented individuals such as Bruce Lanning and Michael Wayne Stowell, Jr. Together, they work on advancing sensor technologies and exploring new applications for their inventions.

Conclusion

John Chmiola's contributions to sensor technology through his patents and work at Lyten, Inc. highlight his role as a key innovator in the field. His advancements in machine learning integration and sensor capabilities are paving the way for future developments in wearable technology.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…