Bengaluru, India

Vidyasagar Honnappa



Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Innovations by Vidyasagar Honnappa

Introduction

Vidyasagar Honnappa is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of computing through his innovative patents. With a total of two patents to his name, Honnappa is recognized for his work in enhancing efficiency and accuracy in computing processes.

Latest Patents

Honnappa's latest patents include a system and method for automatically identifying and resolving computing errors. This proposed system provides streamlined procedures for monitoring log files, identifying errors, and finding solutions from various sources. It also incorporates cognitive learning techniques, such as machine learning, to learn and implement new solutions for resolving errors in subsequent cycles.

Another significant patent is the automatic generation of microservices based on the technical description of legacy code. This invention involves generating a technical description of application code and creating a set of rules associated with business vocabulary and business rules format. The device then generates a set of microservices based on these rules, facilitating efficient application development.

Career Highlights

Vidyasagar Honnappa is currently employed at Accenture Global Solutions Limited, where he continues to innovate and contribute to the field of technology. His work focuses on improving computing processes and developing solutions that enhance operational efficiency.

Collaborations

Honnappa has collaborated with notable coworkers, including M Chandramouli and Nitin Madhukar Sawant, who share his passion for innovation and technology.

Conclusion

Vidyasagar Honnappa's contributions to computing through his patents demonstrate his commitment to advancing technology. His innovative solutions have the potential to significantly improve efficiency and accuracy in various computing applications.

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