Jalaun, India

Rohit Jain

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mastercard International Incorporated. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rohit Jain. Retrieved from https://idiyas.com/inventor/rohit-jain-0u8ukzu7

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rohit Jain and His Work in Cryptocurrency Fraud Detection.

Introduction

Rohit Jain is an inventor based in Jalaun, India, whose patent work addresses the detection of fraudulent cryptocurrency transactions. His disclosed invention applies deep learning and domain adaptation to help identify suspicious activity across different datasets.

Latest Patents

Jain is associated with 1 patent: “Method and System for Cryptocurrency Fraud Detection Using Unsupervised Domain Adaptation.” The method receives labeled source data and unlabeled target data from different domains, combines selected features from both datasets, and trains a deep neural network using a domain adaptation algorithm to identify final features for fraud detection.

Career Highlights

Jain’s patent is associated with Mastercard International Incorporated. It describes an approach for using information from labeled and unlabeled datasets to support the identification of potentially fraudulent cryptocurrency transactions.

Collaborations

The provided information lists Soumyadeep Ghosh and Adarsh Patankar as Jain’s coworkers. Their inclusion indicates professional connections, but the available details do not specify their roles in the patent.

Conclusion

Rohit Jain’s patent work focuses on applying deep neural networks and unsupervised domain adaptation to cryptocurrency fraud detection.

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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