Stanford, CA, United States of America

Terry Allen Winograd

This inventor holds 12 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent and 1 EPO patent. Top assignees: Action Technologies, Inc., Google Inc., Leland Stanford Junior University. Active years: 1993-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Terry Allen Winograd. Retrieved from https://idiyas.com/inventor/terry-allen-winograd

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 12 

% Patents Active = 100.0

 

 

Average Co-Inventor Count = 5.3

ph-index = 9

Forward Citations = 1,233(Granted Patents)


Company Filing History:


Years Active: 1993-2024

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12 patents (USPTO):Explore Patents

Title: Terry Allen Winograd - Pioneering Female Inventor from Stanford

Introduction: Terry Allen Winograd is a distinguished inventor based in Stanford, CA, known for her groundbreaking contributions to the field of artificial intelligence.

Latest Patents: Terry Allen Winograd holds several patents related to natural language processing and human-computer interaction, showcasing her innovative approach to technology.

Career Highlights: With a career spanning several decades, Terry Allen Winograd has been a trailblazer in the development of intelligent systems and user interfaces. She is renowned for her work on the SHRDLU program, a seminal project in the history of AI.

Collaborations: Throughout her career, Terry Allen Winograd has collaborated with leading researchers and institutions in the field of computer science, further solidifying her reputation as a visionary in the industry.

Conclusion: Terry Allen Winograd's pioneering work continues to inspire generations of inventors and researchers, making her a true icon in the world of technology and innovation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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