San Jose, CA, United States of America

Eric Kevin Butler

USPTO Granted Patents = 44 

 

Average Co-Inventor Count = 5.7

ph-index = 9

Forward Citations = 234(Granted Patents)


Location History:

  • Long Beach, CA (US) (2017)
  • San Jose, CA (US) (2010 - 2024)

Company Filing History:


Years Active: 2010-2025

where 'Filed Patents' based on already Granted Patents

44 patents (USPTO):

Title: The Innovations of Eric Kevin Butler: A Leader in Machine Learning Patents

Introduction

Eric Kevin Butler, based in San Jose, CA, is a distinguished inventor known for his significant contributions to the field of machine learning. With an impressive portfolio of 42 patents, Butler's work has laid the groundwork for advancements in cybersecurity and algorithm efficiency. His inventions reflect a deep understanding of complex systems and innovative problem-solving abilities.

Latest Patents

Among Butler’s latest innovations are two notable patents. One is focused on "Machine Learning Based Vulnerable Target Identification in Ransomware Attack." This invention enhances cybersecurity by utilizing a processor that can analyze a computing system's file structure, identify patterns, and develop a graph structure that represents file relationships. By training machine learning models based on this graph, it can effectively identify potential vulnerabilities in systems targeted by ransomware.

The second patent, "Fair Simultaneous Comparison of Parallel Machine Learning Models," presents a method for effectively comparing the performance of multiple algorithms. This method ensures that each algorithm is allocated a fair share of computational resources, allowing for an equitable assessment of performance using various hardware utility metrics.

Career Highlights

Eric Butler has had a successful career, contributing his expertise while working at notable companies such as the International Business Machines Corporation (IBM) and NEC Corporation. His experience at these industry leaders has allowed him to leverage cutting-edge technologies and collaborate with other top-tier professionals in his field.

Collaborations

Throughout his career, Butler has had the privilege of working alongside talented individuals, including colleagues like Divyesh Jadav and Thomas D. Griffin. These collaborations have not only enriched his professional journey but have also facilitated the exchange of innovative ideas leading to groundbreaking patents.

Conclusion

Eric Kevin Butler's dedication to innovation and his impressive patent portfolio highlight his vital role in advancing machine learning technologies. His work continues to inspire others in the field, paving the way for future innovations that will further enhance security measures and algorithmic performance in the tech industry.

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