Panchkula, India

Kanav Goyal

This inventor holds 1 USPTO granted patent. Top assignee: Opera Solutions, LLC. Active years: 2015.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Kanav Goyal: Innovator in Data Anonymization

Introduction

Kanav Goyal is a notable inventor based in Panchkula, India. He has made significant contributions to the field of data anonymization, showcasing his innovative spirit through his patented work. His expertise lies in developing systems that enhance data privacy and security.

Latest Patents

Kanav Goyal holds a patent for a "System and method for data anonymization using hierarchical data clustering and perturbation." This invention provides a comprehensive approach to anonymizing data by utilizing hierarchical data clustering and perturbation techniques. The system includes a computer system and an anonymization program that converts high-dimensional datasets into a normalized vector space. By applying clustering processes, the data is organized into small-sized clusters, ensuring that the statistical properties remain unchanged while protecting individual privacy.

Career Highlights

Kanav Goyal is currently associated with Opera Solutions, LLC, where he continues to work on innovative solutions in data management and security. His role at the company allows him to apply his knowledge and skills in real-world applications, contributing to advancements in technology.

Collaborations

Some of his coworkers include Chayanika Pragya and Rahul Garg, who collaborate with him on various projects within the company. Their teamwork fosters an environment of creativity and innovation, leading to impactful developments in their field.

Conclusion

Kanav Goyal's contributions to data anonymization reflect his commitment to enhancing data privacy through innovative solutions. His work not only advances technology but also addresses critical issues in data security.

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