Scarsdale, NY, United States of America

Larisa Shwartz

This inventor holds 94 USPTO granted patents and 30 published patent applications, plus 2 CIPO patents and 1 EPO patent, primarily in Cloud Computing (CPC class G06N20-00). Top assignees: International Business Machines Corporation, Florida International University, St. John's University. Active years: 2009-2026.

USPTO Granted Patents = 94 

% Patents Active = 54.3


 

Average Co-Inventor Count = 4.4

ph-index = 8

Forward Citations = 321(Granted Patents)

Forward Citations (Not Self Cited) = 288(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Yorktown Heights, NY (US) (2013)
  • Scarsdale, NY (US) (2009 - 2020)
  • Hawthorne, NY (US) (2014 - 2020)
  • Greenwich, CT (US) (2020 - 2024)

Company Filing History:


Years Active: 2009-2026

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Areas of Expertise:
Cloud Resources
Fault Localization
Anomaly Detection
Distributed Systems
Service Level Agreements
Machine Learning
Data Security
Error Detection
Performance Monitoring
Incident Reduction
94 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Larisa Shwartz

Introduction

Larisa Shwartz, based in Scarsdale, NY, is a distinguished inventor with an impressive portfolio comprising 86 patents. Her work primarily focuses on advanced computing and machine learning, demonstrating a deep understanding of distributed systems and topological structures.

Latest Patents

Among her latest contributions to technological innovation are two notable patents. The first patent addresses fault localization in a distributed computing system. This invention facilitates the successful identification of faulty microservices in a microservice architecture by developing healthy execution sequence data for comparison during system failures, even when the faulty microservice does not emit a failure signal. By analyzing frequent sub-sequences derived from log template time series data, the innovation aids in accurately localizing faulty services.

The second notable patent is focused on shift-left topology construction and information augmentation using machine learning. This invention outlines a comprehensive method, computer system, and computer program product that includes collecting datasets, extracting topological entities, and correlating various data points from those entities. Furthermore, it involves marking entry points for multiple subgraphs of the topological entities and constructing a topology graph, enabling advanced insights and efficiencies in systems design.

Career Highlights

Larisa Shwartz has a substantial career history, having worked with prestigious organizations like IBM and St. John's University. Her diverse experiences in these environments have greatly contributed to her innovative thinking and problem-solving skills in the field of technology.

Collaborations

Throughout her career, Larisa has collaborated with talented individuals, including coworkers Genady Grabarnik and Jinho Hwang. These partnerships have provided her with opportunities to advance her research and development endeavors, fostering a collaborative spirit in the innovation process.

Conclusion

Larisa Shwartz's contributions to the field of distributed computing and machine learning illustrate her status as a leading innovator. With a remarkable number of patents to her name, her work continues to inspire advancements in technology, showcasing the importance of innovative thinking in addressing complex challenges in the digital landscape.

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