Toronto, Canada

Saba Zuberi

This inventor holds 2 USPTO granted patents and 14 published patent applications. Top assignee: The Toronto-Dominion Bank. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Saba Zuberi. Retrieved from https://idiyas.com/inventor/saba-zuberi

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 21(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Saba Zuberi: Innovator in Artificial Intelligence and Machine Learning

Introduction

Saba Zuberi is a prominent inventor based in Toronto, Canada. She has made significant contributions to the fields of artificial intelligence and machine learning. With a focus on improving data processing techniques, her work has garnered attention in the tech community.

Latest Patents

Saba Zuberi holds 2 patents that showcase her innovative approach to technology. Her latest patents include "Multi-event time-series encoding," which aims to enhance the processing of multi-event time-series data. This invention aggregates information about various event types for a group of time bins, allowing for a more efficient representation of events. The model utilizes self-supervised learning techniques to optimize its performance for specific applications.

Another notable patent is "Recommendation with neighbor-aware hyperbolic embedding." This invention focuses on generating recommendations for user-item pairs by leveraging embeddings in hyperbolic space. By incorporating neighborhood information, the system improves the accuracy of recommendations, demonstrating Zuberi's expertise in advanced data processing methods.

Career Highlights

Saba Zuberi is currently employed at The Toronto-Dominion Bank, where she applies her innovative skills to enhance the bank's technological capabilities. Her work in artificial intelligence and machine learning has positioned her as a valuable asset in the financial sector.

Collaborations

Saba collaborates with talented individuals such as Maksims Volkovs and Juan Felipe Perez Vallejo. These partnerships contribute to the development of cutting-edge technologies and foster a collaborative environment for innovation.

Conclusion

Saba Zuberi is a trailblazer in the realm of artificial intelligence and machine learning. Her patents reflect her commitment to advancing technology and improving data processing techniques. Through her work at The Toronto-Dominion Bank and collaborations with her colleagues, she continues to make a significant impact in her field.

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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