logo

For the Inventor, By the Inventor

Bellevue, WA, United States of America

Myungjin Lee

This inventor holds 9 USPTO granted patents and 24 published patent applications. Top assignee: Cisco Technology, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Myungjin Lee. Retrieved from https://idiyas.com/inventor/myungjin-lee-8c1rw6dr

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

Calculating rank
USPTO Granted Patents = 9 

% Patents Active = 33.3

Average Co-Inventor Count = 3.2

ph-index = 1


Company Filing History:

goldMedal9 out of 21,424 
 
Cisco Technology, Inc.
 patents

Years Active: 2023-2026

Loading Chart...
9 patents (USPTO):Explore Patents
1. 12743632 - Debugging in federated learning systems (2026-09-22),
2. 12726517 - Uncheatable federated learning (2026-09-01),
3. 12725048 - Efficient scaling of partitioned neural network inference (2026-09-01),
4. 12710940 - AUTOMATED PROFILING AND PARTITIONING OF FUNCTIONS (2026-08-18),
5. 12689632 - Capturing the behavioral signature of polymorphic malware using generative AI (2026-07-21),
6. 12609961 - Text-to-traffic synthetic network traffic data generation system (2026-04-21),
7. 12555034 - Dynamic topology reconfiguration in federated learning systems (2026-02-17),
8. 12008486 - Cognitive automation for networking, security, IoT, and collaboration (2024-06-11),
9. 11822976 - Extending machine learning workloads (2023-11-21),

Title: Myungjin Lee: Innovator in Cognitive Automation and Machine Learning

Introduction

Myungjin Lee is a prominent inventor based in Bellevue, WA (US), known for his contributions to cognitive automation and machine learning technologies. With a total of two patents to his name, he has made significant strides in enhancing networking, security, IoT, and collaboration.

Latest Patents

Myungjin Lee's latest patents include "Cognitive automation for networking, security, IoT, and collaboration" and "Extending machine learning workloads." The first patent describes a device that maintains a metamodel to monitor a system, tracking updates over time and providing data to learning agents. The second patent focuses on forming a combined machine learning workload by connecting upstream and downstream workloads through a user interface, allowing for efficient data transfer between nodes.

Career Highlights

Myungjin Lee is currently employed at Cisco Technology, Inc., where he applies his expertise in machine learning and cognitive automation. His work at Cisco has positioned him as a key player in the development of innovative solutions that address complex technological challenges.

Collaborations

Some of Myungjin Lee's notable coworkers include Ramana Rao V R Kompella and Harshit Daga, with whom he collaborates on various projects within the company.

Conclusion

Myungjin Lee's innovative work in cognitive automation and machine learning continues to impact the technology landscape significantly. His patents reflect a commitment to advancing the field and improving the efficiency of modern systems.

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]
Loading…