Montreal, Canada

Elias Khalifeh

This inventor holds 1 USPTO granted patent. Top assignee: Appdirect, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elias Khalifeh. Retrieved from https://idiyas.com/inventor/elias-khalifeh

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Elias Khalifeh: Website Style Replication

Introduction

Elias Khalifeh is an inventor associated with Montreal, Canada. His patent work addresses how machine learning can help replicate a website’s style and structure.

Latest Patents

Khalifeh is credited with 1 patent: “Website Style Replicator — Methods, Systems, and Storage Media for Replicating a Website.” The described method receives a source website, identifies and extracts its parameters, and determines parameters associated with a destination website. A machine-learning model determines model parameters for the source website, compares them with the extracted source parameters, and generates resultant parameters matched to corresponding destination parameters. Replacing destination parameters with the resultant parameters produces a replicated version of the source website.

Career Highlights

Khalifeh is associated with AppDirect, Inc. His patent describes an approach to adapting a destination website using parameters derived from a source website and machine-learning analysis.

Collaborations

Colin Chong is identified as Khalifeh’s coworker. The available information does not specify whether Chong collaborated on the patent.

Conclusion

Elias Khalifeh’s patent focuses on using machine learning to transfer website characteristics from a source site to a destination site, offering a structured method for website replication.

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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