Bonn, Germany

Sovan Biswas

This inventor holds 1 USPTO granted patent and 6 published patent applications and 1 EPO patent. Top assignee: Intel Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sovan Biswas. Retrieved from https://idiyas.com/inventor/sovan-biswas-lsr6e4zf

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

USPTO Granted Patents = 1 


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Sovan Biswas

Introduction

Sovan Biswas is a notable inventor based in Bonn, Germany. He has made significant contributions to the field of technology, particularly in multi-modal feature processing. His work focuses on enhancing the classification of input data through innovative methods.

Latest Patents

Sovan Biswas holds 1 patent for his invention titled "Leveraging epistemic confidence for multi-modal feature processing." This technology involves systems, apparatuses, and methods that extract multiple features from input data. It generates a confidence metric that indicates the relevance of these features for classifying the input data. Ultimately, the technology categorizes the input data based on the features and the confidence metric.

Career Highlights

Sovan Biswas is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies. His work at Intel has positioned him as a key player in the advancement of data processing technologies.

Collaborations

Sovan collaborates with Anthony Rhodes, contributing to various projects that aim to push the boundaries of technology and innovation.

Conclusion

Sovan Biswas is an influential inventor whose work in multi-modal feature processing is paving the way for advancements in technology. His contributions at Intel Corporation and his innovative patent demonstrate his commitment to enhancing data classification methods.

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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