Grosse Pointe Farms, MI, United States of America

Linda Sala Angell


 

Average Co-Inventor Count = 4.5

ph-index = 6

Forward Citations = 166(Granted Patents)


Location History:

  • Grosse Point Farms, MI (US) (2008)
  • Grosse Pointe Farms, MI (US) (2009 - 2023)

Company Filing History:


Years Active: 2008-2023

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9 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Linda Sala Angell

Introduction

Linda Sala Angell is a remarkable inventor based in Grosse Pointe Farms, Michigan, known for her significant contributions to the field of visual allocation management. With a total of nine patents to her name, she has made strides in developing systems and methods that enhance the understanding and management of visual data in various tasks and activities.

Latest Patents

One of her latest patents focuses on systems and methods for providing visual allocation management. This innovation employs models to determine states based on visual data, facilitating feedback based on the determined states. The visual data collected includes eye image sequences of individuals engaged in specific tasks. By identifying visual features and calculating glance information, the system can ascertain probabilities of the states being modeled. This data allows outputting optimal feedback, such as warnings or instructions, to connected devices and systems, thereby improving user interaction and safety.

Career Highlights

Linda has worked with prominent organizations throughout her career. Notably, she has contributed her expertise to GM Global Technology Operations and the Massachusetts Institute of Technology. Her work at these institutions has helped bridge the gap between theoretical research and practical application in the field of visual data management.

Collaborations

Collaboration is key to innovation, and Linda has partnered with distinguished colleagues such as Bryan L. Reimer and Joonbum Lee. Together, they have explored the intersections of technology and human behavior, driving advancements in visual allocation management that could influence a variety of industries.

Conclusion

Linda Sala Angell's innovative spirit and dedication to improving visual data management through her patents demonstrate her valuable contributions to technology and research. Her work not only advances our understanding of visual allocation but also paves the way for future innovations in this vital area. As her career develops, her inventions will undoubtedly continue to impact how we interact with technology and manage visual information.

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