Trumbull, CT, United States of America

Scott Lawrence Neufeld


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016-2018

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2 patents (USPTO):Explore Patents

Title: Scott Lawrence Neufeld: Innovator in Database Annotation Technologies

Introduction

Scott Lawrence Neufeld is an accomplished inventor based in Trumbull, Connecticut. He has made significant contributions to the field of database technologies, particularly in the area of context-dependent annotations. With a total of two patents to his name, Neufeld's work has the potential to enhance how users interact with commercial data.

Latest Patents

Neufeld's latest patents include "Context-dependent annotations to database views" and "View-independent annotation of commercial data." The first patent describes a technique that allows users to receive and display annotations linked to data in a database view. This innovation enables users to reconstruct results based on their annotations, thereby improving the overall user experience. The second patent focuses on presenting a first view of commercial data to a user, receiving their annotations, and then associating those annotations with subsequent views of the same data set. This approach ensures that users can access relevant annotations when interacting with shared data.

Career Highlights

Scott Lawrence Neufeld is currently employed at Information Resources, Inc., where he continues to develop innovative solutions in the realm of data management. His expertise in database technologies has positioned him as a valuable asset to his organization.

Collaborations

Neufeld collaborates with Narayan Madhavan Nayar, contributing to the advancement of their projects and enhancing the capabilities of their technologies.

Conclusion

Scott Lawrence Neufeld's contributions to database annotation technologies reflect his commitment to innovation and user-centric design. His patents demonstrate a forward-thinking approach that can significantly improve how users interact with commercial data.

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