Cyberjaya, Malaysia

Mohit Kumar Agarwal

This inventor holds 1 USPTO granted patent and 7 published patent applications. Top assignee: Dell Products Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohit Kumar Agarwal. Retrieved from https://idiyas.com/inventor/mohit-kumar-agarwal-11aizhye

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: Mohit Kumar Agarwal: Inventor in Resource-Failure Prediction.

Introduction

Mohit Kumar Agarwal is an inventor based in Cyberjaya, Malaysia. His work includes a patented approach to predicting resource-related failures with machine learning.

Latest Patents

Agarwal is associated with 1 patent, titled “Predicting Resource-Related Failures Using Multi-Dimensional-Based Machine Learning Techniques.” The invention describes methods, apparatus, and processor-readable storage media for analyzing data about resource-related activities involving resources and users. Machine-learning techniques process the data to predict potential failures and their possible causes. Automated actions can then be taken based on those predictions and reasons.

Career Highlights

Agarwal is associated with Dell Products Inc. His patent focuses on applying machine learning to anticipate resource-related problems and support automated responses.

Collaborations

Agarwal’s listed coworkers include Manoj Nambirajan and Bijan Kumar Mohanty. Their shared professional context connects them with work associated with Dell Products Inc.

Conclusion

Mohit Kumar Agarwal’s patent presents a machine-learning approach to predicting resource-related failures, identifying possible causes, and enabling automated action.

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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