San Francisco, CA, United States of America

Austin Chang

USPTO Granted Patents = 8 


Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 53(Granted Patents)


Company Filing History:


Years Active: 2016-2025

where 'Filed Patents' based on already Granted Patents

8 patents (USPTO):

Title: Innovations by Austin Chang: Pioneering Vehicle Computing Solutions

Introduction

Austin Chang is an accomplished inventor based in San Francisco, CA, with a remarkable portfolio of eight patents. His work primarily focuses on enhancing vehicle computing systems and optimizing user interactions while driving. Chang's innovative solutions aim to improve safety and efficiency in the automotive technology sector.

Latest Patents

Among his latest patents, Chang has developed methods and apparatus for detecting hazardous vehicle events and encouraging the usage of driving-optimized application features. This technology correlates unsafe driving events, such as hard braking, with the use of distracting applications. By analyzing data from a computing device, the application can inform users about the relationship between their driving behavior and application usage, ultimately promoting safer driving practices.

Another significant patent involves an automated assistant that enhances interactions between vehicle computing devices and mobile computing devices. This invention aims to reduce duplicative processes, ensuring that both devices communicate effectively to provide a seamless user experience. The system can prepare for automated interactions before the user enters the vehicle and can also execute processes after the user has exited the vehicle.

Career Highlights

Austin Chang is currently employed at Google Inc., where he continues to push the boundaries of automotive technology. His contributions have significantly impacted the way users interact with their vehicles and mobile devices, making driving safer and more efficient.

Collaborations

Throughout his career, Chang has collaborated with talented individuals such as Effie

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