Alam Yadav

This inventor holds 9 USPTO granted patents and 2 published patent applications and 4 EPO patents. Top assignee: Juniper Networks, Inc.. Active years: 2016-2021.

USPTO Granted Patents = 9 (Patent Applications = 2)

% Patents Active = 100.0

EPO Patents = 4 (Patent Applications = 4)

Average Co-Inventor Count = 1.7

ph-index = 3

Forward Citations = 58(Granted Patents)

Location History:

Sunnyvale, CA (US) (2020)
Bengaluru, IN (2016 - 2021)

Company Filing History:

9 out of 4,776

Juniper Networks, Inc.

patents

Years Active: 2016-2021

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9 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11178001 - Multi-stage switch fabric fault detection and handling (2021-11-16),

2. 10805174 - Using machine learning to monitor link quality and predict link faults (2020-10-13),

3. 10742533 - Built-in test traffic generator (2020-08-11),

4. 10382254 - Multi-stage switch fabric fault detection and handling (2019-08-13),

5. 10298465 - Using machine learning to monitor link quality and predict link faults (2019-05-21),

6. 10257589 - Collapsed-distributed Clos switching architecture for multi-chassis fabric connectivity (2019-04-09),

7. 9866427 - Multi-stage switch fabric fault detection and handling (2018-01-09),

8. 9838317 - Policy-based selective traffic reroute based on predicted traffic loss (2017-12-05),

9. 9407536 - Collapsed-distributed Clos switching architecture for multi-chassis fabric connectivity (2016-08-02),

Title: Alam Yadav: Innovator in Networking Technologies

Introduction

Alam Yadav is a prominent inventor based in Bengaluru, India, known for his contributions to networking technologies. With a total of 9 patents to his name, he has made significant advancements in the field, particularly in fault detection and link quality monitoring.

Latest Patents

One of Alam's latest patents is focused on multi-stage switch fabric fault detection and handling. This innovation involves a switching system that includes multiple fabric endpoints and a multi-stage switching fabric. The system is designed to enhance data unit switching between fabric endpoints by utilizing self-ping messages to identify connectivity faults. Another notable patent involves using machine learning to monitor link quality and predict link faults. This device leverages historical link quality information to classify and improve the quality of active links, ensuring better performance in networking environments.

Career Highlights

Alam Yadav is currently employed at Juniper Networks, Inc., where he applies his expertise in developing cutting-edge networking solutions. His work has been instrumental in advancing the capabilities of networking systems, making them more reliable and efficient.

Collaborations

Throughout his career, Alam has collaborated with talented professionals, including Mukul Golash and Madhava N. These partnerships have fostered innovation and contributed to the successful development of various technologies.

Conclusion

Alam Yadav's contributions to networking technologies through his patents and work at Juniper Networks, Inc. highlight his role as a key innovator in the field. His advancements in fault detection and link quality monitoring continue to shape the future of networking solutions.