Zhongwen Zhu

This inventor holds 33 USPTO granted patents and 37 published patent applications, plus 2 CIPO patents and 31 EPO patents, primarily in Content Delivery Networks. Top assignee: Telefonaktiebolaget Lm Ericsson (Publ). Active years: 2008-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhongwen Zhu. Retrieved from https://idiyas.com/inventor/zhongwen-zhu

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

Calculating rank

USPTO Granted Patents = 33 (Patent Applications = 37)

% Patents Active = 84.8

CIPO Patents = 2 (Patent Applications = 1)

EPO Patents = 31 (Patent Applications = 50)

Average Co-Inventor Count = 1.7

ph-index = 4

Forward Citations = 44(Granted Patents)

Location History:

Town Mount Royal, CA (2015)
Saint-Laurent, CA (2008 - 2024)

Company Filing History:

33 out of 27,071

Telefonaktiebolaget Lm Ericsson (Publ)

patents

Years Active: 2008-2026

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Areas of Expertise:

Content Delivery Network

Edge Cloud Platform

Machine Learning

Intrusion Detection

IoT Security

Low-Latency Applications

Resource Management

Passive Intermodulation

Reinforcement Learning

Caching Memory

Data Center Security

Virtual Firewall

33 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12748652 - Network attribute analysis (2026-09-29),

2. 12665816 - Distributed machine learning (2026-06-23),

3. 12634305 - Unsupervised GAN-based intrusion detection system using temporal convolutional networks, self-attention, and transformers (2026-05-19),

4. 12603667 - Method and apparatus for detecting and correcting passive intermodulation (PIM) (2026-04-14),

5. 12587835 - Security for IoT platform built on a wireless sensor network (2026-03-24),

6. 12556944 - Edge cloud platform for mission critical applications (2026-02-17),

7. 12256312 - Method and system for managing components of a fifth generation (5G) network slice (2025-03-18),

8. 11943284 - Overload protection for edge cluster using two tier reinforcement learning models (2024-03-26),

9. 11425025 - Method for providing a low-latency, distributed, multi-user application through an edge cloud platform (2022-08-23),

10. 11350145 - Smart delivery node (2022-05-31),

11. 11297155 - Bypass delivery policy based on the usage (I/O operation) of caching memory storage in CDN (2022-04-05),

12. 11240173 - Method and request router for dynamically pooling resources in a content delivery network (CDN), for efficient delivery of live and on-demand content (2022-02-01),

13. 11172044 - Content based byte-range caching using a dynamically adjusted chunk size (2021-11-09),

14. 10848586 - Content delivery network (CDN) for uploading, caching and delivering user content (2020-11-24),

15. 10691563 - Managing service availability in a mega virtual machine (2020-06-23),

Title: Zhongwen Zhu: Innovator Extraordinaire in Edge Cloud and Content Delivery

Introduction:

Meet Zhongwen Zhu, a prolific inventor and innovator hailing from Saint-Laurent, CA. With an impressive portfolio of 25 patents to his name, Zhongwen Zhu is a key player in cutting-edge technologies related to edge cloud platforms and content delivery networks. Let's dive into his latest patents, career highlights, and collaborations, highlighting his contributions to the field of technology.

Latest Patents:

One of Zhongwen Zhu's recent patents is titled "Method for providing a low-latency, distributed, multi-user application through an edge cloud platform." This patent focuses on deploying a multi-user application in a distributed manner by determining user locations and deploying the application across various Service Provider (SP) domains. By establishing tunnels between these domains, the method ensures low-latency access to the application for the user groups.

Another innovative patent by Zhongwen Zhu is the "Smart delivery node." This patent presents a method, Delivery Node (DN), and Content Delivery Network (CDN) optimized for delivering content of different categories. The DN intelligently redirects content requests to an origin server or serves the content directly based on category association. The CDN, comprising multiple DNs, utilizes Neural Networks (NN) for training, validation, and configuration to enhance content delivery efficiency.

Career Highlights:

Zhongwen Zhu has been making significant contributions to the field of technology through his work at Telefonaktiebolaget LM Ericsson (publ). Ericsson, a globally renowned telecommunications company, supports advancements in communication networks and technologies. Zhongwen Zhu's innovative patents mirror the company's commitment to cutting-edge solutions and sustainable growth.

Collaborations:

Within Ericsson, Zhongwen Zhu has had the privilege of collaborating with notable colleagues such as Makan Pourzandi and Adel Larabi. Together, they have shared knowledge, expertise, and innovative ideas to push the boundaries of edge cloud platforms and content delivery systems. Such collaborations foster an environment of collective growth and allow for the development of groundbreaking technologies.

Conclusion:

Zhongwen Zhu's trailblazing career in innovation and patenting showcases his expertise in edge cloud platforms, multi-user applications, and content delivery systems. His latest patents exemplify his commitment to optimizing network efficiency, minimizing latency, and enhancing user experiences. As a valuable asset to Telefonaktiebolaget LM Ericsson (publ), Zhu's collaborations with esteemed colleagues underscore the importance of teamwork and shared knowledge in driving technological advancements. We eagerly look forward to witnessing Zhongwen Zhu's future contributions, which are bound to revolutionize the tech industry even further.

Profile summary based on public USPTO records.