San Francisco, CA, United States of America

Narayan Ganesan

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Wells Fargo Bank, N.A.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Narayan Ganesan. Retrieved from https://idiyas.com/inventor/narayan-ganesan

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 = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Narayan Ganesan

Introduction

Narayan Ganesan is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of deep machine learning, particularly in the context of non-linear generator functions and boundary condition problems. His work has led to the development of innovative systems and methods that enhance the understanding and application of machine learning technologies.

Latest Patents

Narayan Ganesan holds 2 patents that showcase his expertise in deep machine learning. His latest patents include:

1. **Systems and methods for using deep machine learning to problems corresponding to non-linear generator functions**: This patent discloses systems, apparatuses, methods, and computer program products designed to determine a value corresponding to a composite object. The process involves training a deep neural network (DNN) by iterating values backward in time using a non-linear generator function and modifying parameters based on statistical measures.

2. **Systems and methods for using deep machine learning for evolving boundary condition problems**: This patent outlines systems, apparatuses, methods, and computer program products for providing value information and boundary activation information for systems defined in partially bounded domains. A deep backward stochastic differential equation (BSDE) solver is trained to determine whether boundary conditions have been activated for various paths, updating output values accordingly.

Career Highlights

Narayan Ganesan is currently employed at Wells Fargo Bank, N.A., where he applies his innovative ideas to real-world financial problems. His work at the bank allows him to leverage his expertise in machine learning to improve financial systems and processes.

Collaborations

Throughout his career, Narayan has collaborated with talented individuals such as Bernhard Hientzsch and Yajie Yu. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Narayan Ganesan is a prominent inventor whose work in deep machine learning has led to valuable innovations in the field. His patents reflect his commitment to advancing technology and solving complex problems through innovative solutions.

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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