Pleasant Hill, CA, United States of America

Matthias Seul

This inventor holds 17 USPTO granted patents and 5 published patent applications, primarily in Cybersecurity Solutions. Top assignees: International Business Machines Corporation, Kyndryl, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthias Seul. Retrieved from https://idiyas.com/inventor/matthias-seul-2uakio8k

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 17 

% Patents Active = 100.0

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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Areas of Expertise:
Machine-Learning Model
Malware Intrusion
Cyber Threat Defense
Crowd Density Analysis
Transparent Display
Multi-Tenant Security
Population Density
SIEM Rule Sorting
Encrypted Knowledge Graph
API Attacks
Software Code Analysis
Blockchain Networks
17 patents (USPTO):Explore Patents

Title: **Matthias Seul: Innovator in Population Density and Security Technologies**

Introduction

Matthias Seul is a prominent inventor based in Pleasant Hill, California, known for his contributions to technology with a total of ten patents to his name. His innovative work focuses on methods to approximate population density and enhance security event processing, reflecting his expertise in both data analysis and cybersecurity.

Latest Patents

Matthias Seul's latest patents showcase significant advancements in technology. One of his recent inventions is a method for **approximating population density and post-incident scenario analysis**. This invention involves a comprehensive method, computer system, and computer program product designed for population density approximation. The approach includes identifying devices entering a preconfigured area, gathering device-identifying information, and creating profiles that correlate device movements to calculate population density.

Another noteworthy patent is the **system and method for SIEM rule sorting and conditional execution**. This method involves processing security events using a rule-based alarm scheme. It generates a rule index and an indicator of compromise index for each rule, processes incoming security events, and sorts rules based on their related compromise indicators, improving the efficiency of security operations.

Career Highlights

Throughout his career, Matthias has worked with esteemed companies such as **IBM** and **Kyndryl, Inc.**. His experience in these organizations has contributed to his strong background in technology development and innovation.

Collaborations

Collaborating with talented professionals has been a key aspect of Matthias’s success. He has worked alongside colleagues like **Arjun Udupi Raghavendra** and **Tim Uwe Scheideler**, enhancing the collaborative nature of innovative work and leading to the development of impactful technologies.

Conclusion

Matthias Seul stands out as a dedicated inventor whose innovative approaches to technology in the fields of population density approximation and cybersecurity continue to make a significant impact. With a solid patent portfolio and productive collaborations, he demonstrates the importance of creativity and teamwork in driving technological advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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