Liberty Hill, TX, United States of America

Ali Mehrnezhad

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Dell Products Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ali Mehrnezhad. Retrieved from https://idiyas.com/inventor/ali-mehrnezhad

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

Calculating rank
USPTO Granted Patents = 1 

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: Ali Mehrnezhad: Inventor in Machine-Learning-Based Resource Forecasting

Introduction

Ali Mehrnezhad is an inventor based in Liberty Hill, Texas, whose patent work addresses the use of machine learning to forecast enterprise resource needs. His invention describes a process for turning resource-related data into forecasts that can support automated actions.

Latest Patents

Mehrnezhad is associated with 1 patent: “Resource-Related Forecasting Using Machine Learning Techniques.” The patent describes obtaining data about resources associated with an enterprise, correlating some of that data with target variables, and applying machine-learning techniques to generate forecasts. The method can then use those forecasts as a basis for automated actions.

Career Highlights

Mehrnezhad works at Dell Products Inc. His patent reflects an application of machine learning to enterprise resource planning, combining data analysis and forecasting with automated operational responses.

Collaborations

The provided information identifies Siamak Saliminejad and Prateek Srivastava as Mehrnezhad’s coworkers. Their inclusion points to a professional context involving collaboration at Dell Products Inc.; no specific roles in the patent are stated.

Conclusion

Ali Mehrnezhad’s patent focuses on using machine learning to forecast enterprise resource needs and inform automated actions, highlighting a practical application of data-driven innovation.

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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