Nashua, NH, United States of America

Matthew Goldstein

This inventor holds 4 USPTO granted patents. Top assignee: Goodrich Corporation. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Goldstein. Retrieved from https://idiyas.com/inventor/matthew-goldstein

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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4 patents (USPTO):Explore Patents

Title: The Innovations of Matthew Goldstein

Introduction

Matthew Goldstein is an accomplished inventor based in Nashua, NH (US). He has made significant contributions to the field of target detection and recognition, holding a total of four patents. His work focuses on developing advanced user interfaces and simulators that enhance the capabilities of automated target recognition systems.

Latest Patents

Goldstein's latest patents include a "User interface to simulate target detection and recognition." This method provides a graphical user interface (GUI) for simulating target detection and recognition. It includes user entry areas for receiving ground truth attributes that define simulated physical objects and collection attributes for defining collections. The method simulates detection and recognition based on these attributes, generating detection data about detected objects and displaying this information.

Another notable patent is the "Simulator to simulate target detection and recognition." This simulator comprises a memory configured to store instructions and a processor that executes these instructions. It receives ground truth attributes and collection attributes, simulating detection and recognition of physical objects and outputting detection data based on the simulation.

Career Highlights

Matthew Goldstein is currently employed at Goodrich Corporation, where he continues to innovate in the field of target detection technologies. His work has been instrumental in advancing the capabilities of automated systems used in various applications.

Collaborations

Goldstein has collaborated with notable colleagues, including Allan B. Liburd and Christopher M. Jengo. These partnerships have contributed to the development of his innovative patents and have fostered a collaborative environment for technological advancement.

Conclusion

Matthew Goldstein's contributions to the field of target detection and recognition demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of user interface design and simulation technology, positioning him as a key figure in this area of research.

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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