Rochester, MN, United States of America

John Matthew Santosuosso

Average Co-Inventor Count = 2.9

ph-index = 48

Forward Citations = 9,664(Granted Patents)

Forward Citations (Not Self Cited) = 8,913(Sep 21, 2024)

DiyaCoin DiyaCoin 21.00 

Inventors with similar research interests:


Location History:

  • Olmstead, MN (US) (2009)
  • Rochester, NY (US) (2012)
  • Rochester, MN (US) (2001 - 2024)


Years Active: 2001-2024

where 'Filed Patents' based on already Granted Patents

738 patents (USPTO):
4 patents (CIPO):

Title: John Matthew Santosuosso: A Prolific Inventor Redefining Data Flow Anomalies Detection

Introduction:

In the realm of innovation and patents, certain individuals rise above the rest with their exceptional contributions. John Matthew Santosuosso, hailing from Rochester, MN (US), is one such visionary inventor. With an impressive portfolio of 737 patents to his name, Santosuosso has made significant strides in the field of stream computing and data flow anomalies detection. Let's delve into some of his notable inventions and collaborations.

Patents and Inventions:

Santosuosso's vast array of patents demonstrates his proficiency in stream computing environments and data analytics. Among his latest patents, two intriguing inventions stand out:

1. Feedback tuples for detecting data flow anomalies in stream computing environment:

This patent revolves around the implementation of feedback tuples in a stream computing environment. These feedback tuples provide critical data flow status information, enabling the detection, identification, and handling of data flow anomalies in stream computing applications. Through the integration of feedback tuples, Santosuosso's invention enhances the reliability and resilience of stream computing systems.

2. System and method for identifying external connections in a streaming application:

This invention focuses on monitoring network activity associated with streaming data loads in stream applications. Santosuosso's patent introduces a method, computer program product, and computing device that detect and identify stream operators with external connections. By deploying these identified stream operators, the invention optimizes the performance and efficiency of streaming applications.

Professional Experience:

During his illustrious career, John Matthew Santosuosso has collaborated with renowned companies in the industry. Notably, he has contributed his expertise to:

1. IBM (International Business Machines Corporation):

Santosuosso has actively contributed to IBM, a global leader in technology and innovation. His association with IBM showcases his ability to innovate within high-profile corporate environments, fueling cutting-edge technology advancements.

2. Trend Micro Inc.:

Santosuosso's diverse experience extends to Trend Micro Inc., a cybersecurity solutions company. Through his work at Trend Micro, he has likely played a key role in enhancing data security and protection frameworks.

Collaborators:

Santosuosso's contributions have not been without collaboration with other esteemed professionals. Notable individuals who have worked alongside him include Eric L Barsness and Michael J Branson. Their combined expertise and shared vision have likely fueled breakthrough inventions and improved existing technologies.

Conclusion:

John Matthew Santosuosso's prolific career in innovation and patents has left an indelible mark on the field of stream computing and data flow anomaly detection. With an astounding 737 patents to his name, his expertise and inventions have transformed the way we perceive and handle data flow anomalies in stream computing environments. As the industry continues to advance, Santosuosso's contributions serve as an inspiration and a benchmark for future inventors and innovators.

Disclaimer: The information provided in this article is based on the available data from publicly accessible sources and should not be considered conclusive or exhaustive. For the most accurate and up-to-date information on John Matthew Santosuosso's patents and inventions, refer to official patent databases or reliable sources.

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