San Francisco, CA, United States of America

Ashwin Kumar Kannan

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Palo Alto Networks, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Ashwin Kumar Kannan

Introduction

Ashwin Kumar Kannan is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of named-entity recognition, particularly in the context of protected health information. His innovative work has implications for data privacy and security in sensitive documents.

Latest Patents

Ashwin holds a patent titled "Named-entity recognition of protected health information." This patent describes a named-entity recognition (NER) model that detects named entities corresponding to protected health information (PHI) in potentially sensitive documents. The NER model is trained to identify both personally identifiable information (PII) and medical terms. The output of the NER model is preprocessed and used as input for a random forest classifier, which determines whether documents contain sensitive data. The verdict provided by the classifier is interpretable through high-confidence named entities detected by the NER model.

Career Highlights

Ashwin is currently employed at Palo Alto Networks, Inc., where he continues to develop innovative solutions in the realm of data security. His work focuses on enhancing the capabilities of machine learning models to better protect sensitive information.

Collaborations

Some of Ashwin's notable coworkers include Jesse Mie Kim and Anirudh Mittal, who contribute to the collaborative environment at Palo Alto Networks, Inc.

Conclusion

Ashwin Kumar Kannan's contributions to named-entity recognition and data privacy highlight his role as a leading inventor in the field. His innovative patent demonstrates the importance of protecting sensitive information in today's digital landscape.

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