Karnataka, India

Ashok Biradar

This inventor holds 1 USPTO granted patent. Top assignee: Cerner Innovation, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ashok Biradar. Retrieved from https://idiyas.com/inventor/ashok-biradar

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ashok Biradar: Innovator in Predictive Classification Models

Introduction

Ashok Biradar is a notable inventor based in Karnataka, India. He has made significant contributions to the field of machine learning and application development. His innovative work focuses on enhancing user experience through predictive technologies.

Latest Patents

Ashok holds a patent for a "Predictive classification model for auto-population of text block templates into an application." This invention involves methods, systems, and computer-readable media that utilize a machine learning classification model trained with historical data. By processing minimal test data from a specific application instance, the model can predictively identify the most relevant text block for that instance. Consequently, a particular template is auto-populated into a free text input box within the application, improving the graphical user interface.

Career Highlights

Ashok is currently employed at Cerner Innovation, Inc., where he applies his expertise in developing advanced technological solutions. His work is instrumental in driving innovation within the company and the broader tech industry.

Collaborations

Some of Ashok's coworkers include Sheshanth As and Kiran Chornoor, who collaborate with him on various projects, contributing to the innovative environment at Cerner Innovation, Inc.

Conclusion

Ashok Biradar's contributions to predictive classification models exemplify the impact of innovation in technology. His work not only enhances application functionality but also sets a precedent for future advancements in machine learning.

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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