Foster City, CA, United States of America

Mahashweta Das

This inventor holds 13 USPTO granted patents and 13 published patent applications. Top assignee: Visa International Service Association. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mahashweta Das. Retrieved from https://idiyas.com/inventor/mahashweta-das-e0kxh4yh

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

Calculating rank
USPTO Granted Patents = 13 

% Patents Active = 100.0

Average Co-Inventor Count = 3.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Foster City, CA (US) (2022 - 2023)
  • Sunnyvale, CA (US) (2022 - 2024)
  • Campbell, CA (US) (2024)

Company Filing History:


Years Active: 2022-2026

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13 patents (USPTO):Explore Patents

Title: Mahashweta Das: Innovator in Predictive Systems and Anomaly Detection

Introduction

Mahashweta Das is a prominent inventor based in Foster City, CA (US). He has made significant contributions to the fields of predictive systems and anomaly detection, holding a total of 13 patents. His work focuses on developing innovative methods and systems that enhance user experience and data analysis.

Latest Patents

One of Mahashweta's latest patents is titled "System, method, and computer program product for predicting a specified geographic area of a user." This invention provides a comprehensive system that includes a processor designed to determine a verified geographic area associated with each user. The processor also analyzes transaction data to produce a training matrix, which is used to train and validate a geographic area prediction model. This model enables the system to predict where a user is likely to conduct transactions and communicate relevant offers based on these predictions.

Another notable patent is the "Method, system, and computer program product for synthetic oversampling for boosting supervised anomaly detection." This invention formulates an iterative data mix-up problem into a Markov decision process (MDP) with a tailored reward signal. It employs a deep deterministic actor-critic framework to adapt a discrete-continuous decision space for training a data augmentation policy, thereby enhancing the effectiveness of anomaly detection.

Career Highlights

Mahashweta Das is currently employed at Visa International Service Association, where he applies his expertise in developing cutting-edge technologies. His work at Visa has allowed him to contribute to advancements in financial technology and user data analysis.

Collaborations

Throughout his career, Mahashweta has collaborated with talented individuals such as Hao Yang and Shamim Samadi. These collaborations have fostered innovation and have led to the development of impactful technologies in their respective fields.

Conclusion

Mahashweta Das is a distinguished inventor whose work in predictive systems and anomaly detection has made a significant impact in technology. His innovative patents and contributions to Visa International Service Association highlight his commitment to advancing the field.

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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