Hanover, NH, United States of America

Jun Gong

USPTO Granted Patents = 8 

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Hanover, NH (US) (2022 - 2023)
  • Issaquah, WA (US) (2023)

Company Filing History:


Years Active: 2022-2025

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8 patents (USPTO):

Title: Innovations of Jun Gong: A Pioneer in Indoor Location Technologies

Introduction

Jun Gong is an accomplished inventor based in Hanover, NH, with a remarkable portfolio of eight patents. His work primarily focuses on enhancing indoor location technologies and machine learning applications. His innovative approaches have the potential to revolutionize how we interact with our environments.

Latest Patents

One of Jun Gong's latest patents is titled "Learning emergent indoor locations of interest with minimal infrastructure." This patent outlines techniques that include ranging between a mobile device and a ranging device to obtain measurements. Additionally, it involves performing inertial measurements to track the movement of the mobile device. The techniques aim to identify stationary dwell points and determine vectors of movement between these points. Another significant patent is related to "Machine learning based object identification." This invention provides methods to fuse spatial sensor data from multiple devices into a single coordinate space, allowing for the classification of objects detected within the sensor data.

Career Highlights

Throughout his career, Jun Gong has worked with prominent companies such as Apple Inc. and Autodesk, Inc. His experience in these leading technology firms has contributed to his expertise in developing innovative solutions in the field of indoor location and machine learning.

Collaborations

Jun Gong has collaborated with notable professionals in the industry, including Gierad Laput and Fraser Anderson. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Jun Gong's contributions to indoor location technologies and machine learning exemplify his innovative spirit and dedication to advancing technology. His patents reflect a commitment to creating solutions that enhance our understanding and interaction with the world around us.

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