Vibhuti Damania

Title: Vibhuti Damania: Innovator in Transaction Authentication and Data Transport

Introduction

Vibhuti Damania is a notable inventor based in Carrollton, TX (US). She has made significant contributions to the fields of transaction authentication and data transport, holding a total of three patents. Her innovative work focuses on enhancing security and efficiency in digital transactions.

Latest Patents

One of her latest patents is titled "Transaction authentication using virtual/augmented reality." This invention involves apparatus and methods for authenticating a proxy to execute transactions on behalf of customers. The authentication process is based on the movement of a three-dimensional object in space, which is tracked by a camera. The method includes receiving multiple two-dimensional patterns and tracking the object's movement to ensure secure transactions.

Another significant patent is "Smart integrated cyclic data transport." This apparatus is designed to preserve the consistency and integrity of files during their transfer from a source system to a target system. It includes an orchestration subsystem with an analyzer/generator module that executes algorithms on the file, ensuring pre-transfer validation and maintaining data integrity throughout the transfer process.

Career Highlights

Vibhuti Damania is currently employed at Bank of America Corporation, where she applies her expertise in technology and innovation. Her work at the bank focuses on developing advanced solutions that enhance transaction security and data management.

Collaborations

Throughout her career, Vibhuti has collaborated with talented professionals, including Manu Jacob Kurian and Sorin N Cismas. These collaborations have contributed to her innovative projects and the successful development of her patents.

Conclusion

Vibhuti Damania is a pioneering inventor whose work in transaction authentication and data transport is shaping the future of secure digital transactions. Her contributions are vital in enhancing the integrity and efficiency of data management systems.