San Jose, CA, United States of America

Li-Sue Chen

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Google Inc.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Li-Sue Chen in Wait Time Prediction Technology

Introduction

Li-Sue Chen is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in the area of wait time prediction. His innovative approach has the potential to enhance customer experiences across various businesses and public services.

Latest Patents

Li-Sue Chen holds a patent for a groundbreaking technology that determines expected wait times for businesses or other public services. This wait time prediction technology utilizes a model generated from historical wait times specific to the business. When a user requests information, the system calculates the expected wait time for service during a particular time period on a specific day of the week. The model is designed to improve over time, as user feedback regarding the expected wait time can be collected and used to refresh the model with new data.

Career Highlights

Li-Sue Chen is currently employed at Google Inc., where he continues to innovate and develop technologies that improve user experiences. His work in the tech industry has positioned him as a key player in the development of predictive models that can be applied in various sectors.

Collaborations

Throughout his career, Li-Sue Chen has collaborated with notable colleagues, including Steve Chien and Quang Duong. These partnerships have fostered an environment of creativity and innovation, leading to advancements in technology.

Conclusion

Li-Sue Chen's contributions to wait time prediction technology exemplify the impact of innovative thinking in the tech industry. His work not only enhances operational efficiency but also improves customer satisfaction across various services.

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