Toronto, Canada

Seyed Mehran Kazemi

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Royal Bank of Canada. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Seyed Mehran Kazemi. Retrieved from https://idiyas.com/inventor/seyed-mehran-kazemi

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

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 2.6

ph-index = 1


Company Filing History:


Years Active: 2023-2026

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4 patents (USPTO):Explore Patents

Title: Seyed Mehran Kazemi: Innovator in Machine Learning and Graph Neural Networks

Introduction

Seyed Mehran Kazemi is a prominent inventor based in Toronto, Canada. He has made significant contributions to the fields of machine learning and graph neural networks. With a total of 4 patents to his name, Kazemi is recognized for his innovative approaches to complex technical challenges.

Latest Patents

Kazemi's latest patents include a "System and method for structure learning for graph neural networks." This invention involves representing a graph structure with nodes and edges as an adjacency matrix, where nodes possess specific features. The method includes generating an adjacency matrix based on various node features, creating noisy node features, and utilizing a neural network to produce denoised node features. The adjacency matrix is then updated based on these denoised features.

Another notable patent is the "System and method for time-dependent machine learning architecture." This invention addresses the decomposition of time as an input for machine learning, enhancing accuracy and convergence speed while reducing computational resource requirements. It employs a vector representation of continuous time, which includes learnable parameters for frequency and phase-shift, to improve the tracking of periodic behaviors in features.

Career Highlights

Kazemi is currently employed at the Royal Bank of Canada, where he applies his expertise in machine learning and data analysis. His work focuses on developing innovative solutions that enhance the bank's technological capabilities and improve customer experiences.

Collaborations

Kazemi collaborates with talented individuals such as Janahan Mathuran Ramanan and Jaspreet Sahota. Together, they work on advancing the field of machine learning and contribute to the development of cutting-edge technologies.

Conclusion

Seyed Mehran Kazemi is a distinguished inventor whose work in machine learning and graph neural networks has the potential to transform various industries. His innovative patents and contributions to the Royal Bank of Canada highlight his commitment to advancing technology and improving outcomes in complex systems.

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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