Los Angeles, CA, United States of America

Palash Goyal

This inventor holds 3 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignees: Siemens Aktiengesellschaft, Arizona State University, University of Southern California. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Palash Goyal. Retrieved from https://idiyas.com/inventor/palash-goyal

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Palash Goyal: Innovator in Automation and Network Dynamics

Introduction

Palash Goyal is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the fields of automation engineering and network dynamics. With a total of 3 patents, Goyal's work focuses on leveraging artificial intelligence and machine learning to enhance industrial automation and dynamic network analysis.

Latest Patents

Goyal's latest patents include an "Automation engineering learning framework for cognitive engineering." This patent addresses the applications of artificial intelligence in industrial automation, emphasizing the importance of utilizing machine learning to complete automation engineering tasks. Another notable patent is "Capturing network dynamics using dynamic graph representation learning." This invention involves methods and systems for dynamic network link prediction, utilizing a dynamic graph embedding model to capture temporal patterns in dynamic networks.

Career Highlights

Throughout his career, Palash Goyal has worked with esteemed organizations such as Siemens Aktiengesellschaft and Arizona State University. His experience in these institutions has allowed him to develop innovative solutions that bridge the gap between theoretical research and practical applications in automation and network analysis.

Collaborations

Goyal has collaborated with talented individuals in his field, including Arquimedes Martinez Canedo and Sujit Rokka Chhetri. These collaborations have further enriched his research and contributed to the advancement of technology in automation and network dynamics.

Conclusion

Palash Goyal's contributions to automation engineering and network dynamics exemplify the impact of innovation in technology. His patents and collaborations reflect a commitment to advancing the field through the application of artificial intelligence and machine learning.

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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