San Diego, CA, United States of America

Chung Hung Lee



Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 119(Granted Patents)


Company Filing History:


Years Active: 2015-2016

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4 patents (USPTO):Explore Patents

Title: Innovations by Chung Hung Lee

Introduction

Chung Hung Lee is a notable inventor based in San Diego, California. He has made significant contributions to the field of vehicle data processing, holding a total of four patents. His work focuses on enhancing the performance and analysis of vehicle operation data.

Latest Patents

Chung Hung Lee's latest patents include "Systems and methods for processing vehicle data to report performance data interchangeably." This patent describes a data module associated with a vehicle that collects metrics related to vehicle operation and operator interaction. The module correlates these metrics with events to generate a comprehensive data set, which can be viewed in various contexts. The data is updated in real-time, providing users with relevant insights.

Another significant patent is the "Method and system for collecting, analyzing and displaying fleet performance data." This invention outlines a system for receiving and storing disparate data streams in real-time. The data is organized into a structured format, allowing for efficient querying and analysis. The associated data can then be displayed from different perspectives, enhancing the understanding of fleet performance.

Career Highlights

Chung Hung Lee is currently employed at Omnitracs, LLC, where he continues to innovate in the field of vehicle data processing. His work has contributed to advancements in fleet management and performance analysis.

Collaborations

Chung has collaborated with talented individuals such as Sudarshan Raghunathan and Jeffrey McQuigg, further enhancing the innovative environment at Omnitracs.

Conclusion

Chung Hung Lee's contributions to vehicle data processing through his patents demonstrate his commitment to innovation in the automotive industry. His work not only improves vehicle performance analysis but also sets a foundation for future advancements in fleet management.

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