San Mateo, CA, United States of America

Jieying Chen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Jieying Chen: Innovator in Transportation Service Prediction

Introduction

Jieying Chen is a prominent inventor based in San Mateo, CA (US). She has made significant contributions to the field of transportation service prediction, holding 2 patents that enhance user experience in networked computer systems. Her innovative work focuses on generating active notifications for users, ensuring they receive timely and relevant information regarding transportation services.

Latest Patents

One of Jieying Chen's latest patents is titled "Active notification using transportation service prediction." This patent discloses systems and methods for generating active notifications for users of a networked computer system. The technology utilizes a prediction model to create transportation service predictions based on user identification, location data, prediction time data, and historical user data. The system then displays notifications on the user's computing device, recommending the use of transportation services based on the time of day and day of the week. The notifications include a selectable user interface element that allows users to submit electronic requests for the recommended transportation services.

Career Highlights

Jieying Chen is currently employed at Uber Technologies, Inc., where she continues to develop innovative solutions in the transportation sector. Her work is instrumental in improving the efficiency and effectiveness of transportation services, making them more accessible to users.

Collaborations

Throughout her career, Jieying has collaborated with notable colleagues, including Neil Chagas Fernandes and Adnan Akil. These partnerships have contributed to her success and the advancement of her projects.

Conclusion

Jieying Chen is a trailblazer in the field of transportation service prediction, with her patents reflecting her commitment to innovation. Her work at Uber Technologies, Inc. showcases her dedication to enhancing user experiences in transportation.

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