Foster City, CA, United States of America

Ram Miryala


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Innovations by Ram Miryala

Introduction

Ram Miryala is an accomplished inventor based in Foster City, CA. He has made significant contributions to the field of fraud detection through his innovative systems and methods. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of fraud detection processes.

Latest Patents

One of Ram Miryala's latest patents is titled "Systems and methods for estimating validation time for fraud detection rules." This invention relates to systems and methods that estimate the validation time by using an estimation of the amount of data fulfilling a rule or a set of rules. The estimation method is designed to be more accurate as it considers how much data will match the rule versus how much data can be discarded. The disclosed systems and methods provide visibility into how much time a rule set validation will take and how long the computer system will be unavailable due to the rule set being evaluated. This allows users to make better decisions regarding whether and when a rule set should be evaluated, and/or whether and how to modify the implementation of the rule set.

Career Highlights

Ram Miryala is currently employed at Visa International Service Association, where he applies his expertise in fraud detection technologies. His role involves developing innovative solutions that enhance the security and efficiency of financial transactions.

Collaborations

Some of his notable coworkers include Gajanan Chinchwadkar and Navendu Misra, who collaborate with him on various projects within the company.

Conclusion

Ram Miryala's contributions to the field of fraud detection through his innovative patents demonstrate his commitment to improving technology in financial services. His work continues to influence the way organizations approach fraud detection and validation processes.

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