Niskayuna, NY, United States of America

Waad Subber

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Waad Subber: Innovator in Multi-Class Classification Systems

Introduction

Waad Subber is an accomplished inventor based in Niskayuna, NY (US). He has made significant contributions to the field of multi-class classification systems, showcasing his expertise through innovative patent work. His dedication to advancing technology is evident in his research and development efforts.

Latest Patents

Waad Subber holds a patent for an "Apparatus, method, and computer program product for multi-class classification using adapted two-level binary classification models." This multi-class classification system utilizes an adapted, multi-level binary classification model along with pre-classification and post-classification processing. The system transforms original multi-class training data into coarse-level and fine-level adapted training data. In the coarse-level adapted training data, objects are classified into a majority classification set or a non-majority classification set. The fine-level adapted training data retains original classifications for objects in the non-majority classification set. This innovative approach allows for effective training of binary classification models, which generate binary classifications that are then transformed into a comprehensive multi-class classification.

Career Highlights

Waad Subber is currently employed at Honeywell International Inc., where he applies his skills and knowledge to further develop advanced classification systems. His work at Honeywell has allowed him to collaborate with other experts in the field, contributing to the company's reputation for innovation and excellence.

Conclusion

Waad Subber's contributions to multi-class classification systems highlight his role as a leading inventor in the technology sector. His patent work and career at Honeywell International Inc. demonstrate his commitment to advancing classification methodologies.

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