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For the Inventor, By the Inventor

Boston, MA, United States of America

Andysheh Tabrizi

USPTO Granted Patents = 13 

Average Co-Inventor Count = 1.7

ph-index = 3

Forward Citations = 70(Granted Patents)


Company Filing History:

goldMedal12 out of 12 
 
Recentive Analytics, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2019-2025

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13 patents (USPTO):Explore Patents
1. 12309444 - Artificial intelligence techniques for projecting viewership using partial prior data sources (2025-05-20),
2. D1044827 - Display screen with a graphical user interface (2024-10-01),
3. 12093861 - Systems and methods for determining event schedules (2024-09-17),
4. 12093860 - Systems and methods for determining event schedules (2024-09-17),
5. 11775872 - Techniques for identifying optimal EV charging station locations (2023-10-03),
6. 11743524 - Artificial intelligence techniques for projecting viewership using partial prior data sources (2023-08-29),
7. 11537960 - Systems and methods for determining event schedules (2022-12-27),
8. 11386367 - Systems and methods for determining event schedules (2022-07-12),
9. D940739 - Computer display screen with graphical user interface for scheduling events (2022-01-11),
10. 10958957 - Systems and methods for automatically and dynamically generating a network map (2021-03-23),
11. 10911811 - Systems and methods for automatically and dynamically generating a network map (2021-02-02),
12. D879802 - Computer display with graphical user interface (2020-03-31),
13. D870756 - Display screen with an animated graphical user interface (2019-12-24),

Title: The Innovative Mind of Andysheh Tabrizi

Introduction

Andysheh Tabrizi is a prominent inventor based in Boston, MA. He has made significant contributions to the field of artificial intelligence and video broadcasting. With a total of 13 patents to his name, Tabrizi is recognized for his innovative approaches to enhancing viewership through technology.

Latest Patents

One of Tabrizi's latest patents is focused on artificial intelligence techniques for projecting viewership using partial prior data sources. This computer-implemented method dynamically determines the optimal time to broadcast video content. The method involves providing content parameters to a machine learning model, training the model to identify relationships between these parameters and viewership ratings, and ultimately determining a target time period for broadcasting unaired video content to maximize projected viewership ratings.

Career Highlights

Andysheh Tabrizi currently works at Recentive Analytics, Inc., where he applies his expertise in machine learning and data analysis. His work has been instrumental in developing innovative solutions that enhance the efficiency of video content broadcasting.

Collaborations

Tabrizi collaborates with talented individuals such as Evan Charles Smith and Keeon Tabrizi. Together, they contribute to the advancement of technology in their respective fields.

Conclusion

Andysheh Tabrizi is a visionary inventor whose work in artificial intelligence and video broadcasting continues to shape the industry. His patents reflect a commitment to innovation and a deep understanding of viewer engagement.

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