New Orleans, LA, United States of America

Hesham Younes

This inventor holds 1 USPTO granted patent. Top assignee: Pro-Core Technologies Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hesham Younes. Retrieved from https://idiyas.com/inventor/hesham-younes

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hesham Younes: Construction Project Risk Assessment and Mitigation

Introduction

Hesham Younes is an inventor based in New Orleans, Louisiana. His work includes a patented computing platform designed to help assess and mitigate risks in construction projects. Younes is associated with Pro-Core Technologies Limited.

Latest Patents

Younes is named on 1 patent, titled “Construction Project Risk Assessment and Mitigation.” The invention uses a computing platform to organize construction-project data objects in a knowledge graph, where nodes represent data objects and their connections.

A machine-learning model trained on historical construction-project data determines a risk score for one data object and then evaluates another data object using that score and the degree of separation between the objects in the graph. Based on the resulting risk score, the platform automatically generates a suggested action related to the first data object and displays it at a client station used by someone associated with the project.

Career Highlights

Younes’s patent focuses on applying machine learning and knowledge graphs to construction risk management. By connecting project information and assessing relationships among data objects, the system is designed to support timely, data-informed mitigation actions.

Collaborations

Younes is associated with Pro-Core Technologies Limited. His listed coworkers include Matt Man and David Starr.

Conclusion

Hesham Younes’s patented system brings together construction data, machine learning, and automated recommendations to support risk assessment and mitigation in construction projects.

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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