Delhi, India

Harsimran Bhasin

This inventor holds 1 USPTO granted patent and 8 published patent applications. Top assignee: Mastercard International Incorporated. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Harsimran Bhasin. Retrieved from https://idiyas.com/inventor/harsimran-bhasin

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 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Harsimran Bhasin: Inventor in AI-Driven Fraud and Credit Risk

Introduction

Harsimran Bhasin is an inventor based in Delhi, India, whose work focuses on applying artificial intelligence to fraud and credit risk detection. He is associated with Mastercard International Incorporated and is named on 1 patent.

Latest Patents

Bhasin’s patent, “Methods and Systems for Generating Rules for Unseen Fraud and Credit Risks Using Artificial Intelligence,” describes a system for identifying potential fraud in payment transactions. It uses transaction data from multiple customers to train a generative adversarial network (GAN) to produce simulated customer fraud behaviors. The system filters those behaviors, assigns fraud risk scores, and extracts rules that can help identify previously unseen risks.

Career Highlights

The patent reflects an approach that combines simulated transaction behaviors with risk scoring and rule generation. By developing rules from generated examples, the system aims to help detect fraud patterns that may not be represented in existing transaction data.

Collaborations

Bhasin’s listed coworkers include Anubha Pandey and Shiv Markam. His patent is associated with Mastercard International Incorporated.

Conclusion

Harsimran Bhasin’s patented work applies generative AI techniques to the challenge of detecting emerging fraud and credit risks in payment transactions.

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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