Chennai, India

Shriram Venkatnarayanan


Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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2 patents (USPTO):

Title: Shriram Venkatnarayanan: Innovator in Computer Modeling and Machine Learning

Introduction

Shriram Venkatnarayanan is a notable inventor based in Chennai, India. He has made significant contributions to the fields of computer modeling and machine learning. With a total of 2 patents, his work focuses on enhancing the efficiency and adaptability of computer systems.

Latest Patents

One of Shriram's latest patents is titled "Systems and methods of updating computer modeled processes based on real time external data." This innovative system automatically updates a process model by utilizing semantic similarities between externally sourced textual data and the descriptions contained within the model. It classifies words from the external data into actionable categories and parses dependent words to update the existing model effectively.

Another significant patent is "Adaptive human to machine interaction using machine learning." This invention provides a computer system that generates a natural language processing model from an API specification. It constructs intent names based on operation types and names, creates entity datasets, and generates training phrases to enhance machine interaction.

Career Highlights

Shriram is currently employed at Software AG, Inc., where he applies his expertise in developing advanced software solutions. His work has been instrumental in pushing the boundaries of technology in his field.

Collaborations

He collaborates with talented individuals such as Ganesh Swamypillai and Balaji Balakrishnan, contributing to a dynamic and innovative work environment.

Conclusion

Shriram Venkatnarayanan's contributions to computer modeling and machine learning demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications in real-world scenarios.

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