Raleigh, NC, United States of America

Sally Ghanem

This inventor holds 1 USPTO granted patent. Top assignee: North Carolina State University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sally Ghanem. Retrieved from https://idiyas.com/inventor/sally-ghanem

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Sally Ghanem: Innovator in Neural Network Architecture

Introduction

Sally Ghanem is a prominent inventor based in Raleigh, NC (US). She has made significant contributions to the field of neural networks, particularly through her innovative patent. Her work exemplifies the intersection of technology and advanced mathematical concepts.

Latest Patents

Sally Ghanem holds a patent for the "Volterra neural network and method." This patent describes a Volterra filter network architecture that employs a cascaded implementation and a plurality of kernels. The system is configured to execute an n-order filter, with interconnected kernels forming a cascading hierarchical structure that approximates a high-order filter. This invention showcases her expertise in developing complex systems that enhance computational efficiency.

Career Highlights

Sally Ghanem is affiliated with North Carolina State University, where she continues to advance her research in neural networks. Her academic background and professional experience have positioned her as a leader in her field. She is dedicated to exploring innovative solutions that address real-world challenges through technology.

Collaborations

Sally has collaborated with notable colleagues, including Hamid Krim and Siddharth Roheda. These partnerships have fostered a dynamic research environment, allowing for the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Sally Ghanem's contributions to neural network architecture through her patent reflect her commitment to innovation and excellence in her field. Her work continues to inspire future advancements in technology.

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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