Sunnyvale, CA, United States of America

Lyndon Y Ong

This inventor holds 34 USPTO granted patents and 3 published patent applications, plus 1 CIPO patent and 3 EPO patents, primarily in 5G Networking. Top assignees: Ciena Corporation, Nortel Networks Corporation, Rockstar Bidco, LP. Active years: 2001-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lyndon Y Ong. Retrieved from https://idiyas.com/inventor/lyndon-y-ong

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

USPTO Granted Patents = 34 

% Patents Active = 94.1


 

Average Co-Inventor Count = 1.9

ph-index = 12

Forward Citations = 346(Granted Patents)


Location History:

  • San Jose, CA (US) (2001 - 2014)
  • Sunnyvale, CA (US) (2007 - 2024)

Company Filing History:


Years Active: 2001-2026

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Areas of Expertise:
5G Network Slicing
AI Network Control
Optical Networks
Path Computation
Software Defined Networking
Dynamic Performance Monitoring
Virtual Private Networks
Distributed Control
Congestion Control
Network Address Translation
Hybrid Control Architecture
Signaling Protocols
34 patents (USPTO):Explore Patents

Title: Lyndon Y Ong - Innovator in Artificial Intelligence and Network Control

Introduction

Lyndon Y Ong is a prominent figure in the field of artificial intelligence and network control, hailing from Sunnyvale, California. With an impressive portfolio of 33 patents, he has made significant contributions to the integration of machine learning algorithms and advanced network control systems.

Latest Patents

Lyndon's latest patents showcase his innovative approach to addressing challenges in AI-based network control. One of his notable patents focuses on "Safeguarding Artificial Intelligence-Based Network Control." This invention involves a sophisticated process of collecting data from a network comprising various network elements. The data is analyzed using multiple machine learning algorithms to determine actions for network control. Importantly, the system assesses risks associated with these actions, including non-deterministic behavior of AI inference, unbounded uncertainty, unpredictable behavior due to different data inputs, and potential malicious input data. The system then allows, modifies, or blocks actions based on the assessed risks, thereby ensuring the network's safety.

Another recent patent, "Governance and Interactions of Autonomous Pipeline-Structured Control Applications," details systems and methods for receiving information from a governed system with resources. It implements context-neutral or specific control applications structured as pipelines of various functions. These functions enable the control of resources through sensing, discerning, inferring, deciding, and executing actions based on the outputs from these processes.

Career Highlights

Lyndon has had a successful career, contributing to notable companies in the technology sector, including Ciena Corporation and Nortel Networks Corporation. His work in these organizations has paved the way for advancements in network technology and artificial intelligence applications.

Collaborations

Throughout his career, Lyndon has collaborated with esteemed colleagues, including Loudon Thomas Blair and Michael Y Frankel. Together, they have contributed to innovative projects that leverage the advancements in AI and network management, further enhancing the potential of autonomous systems.

Conclusion

Lyndon Y Ong continues to be a driving force in the development of innovative technologies that utilize artificial intelligence for effective network control. His extensive patent portfolio reflects his commitment to enhancing the security and efficiency of network systems through clever and forward-thinking solutions. As the landscape of technology and network control evolves, Lyndon's contributions will undoubtedly have a lasting impact on the industry.

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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