Atlanta, GA, United States of America

Mohammed Zaki Anwer Arifulla

This inventor holds 1 USPTO granted patent. Top assignees: Ernst & Young U.S. LLP, Eversource Energy Service Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohammed Zaki Anwer Arifulla. Retrieved from https://idiyas.com/inventor/mohammed-zaki-anwer-arifulla

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mohammed Zaki Anwer Arifulla: Inventor in Electrical Network Outage Prediction

Introduction

Mohammed Zaki Anwer Arifulla is an inventor associated with Atlanta, Georgia, United States. His work includes a patented approach to predicting sustained outages in electrical networks using measurements from SCADA-enabled devices.

Latest Patents

Arifulla is credited with 1 patent, titled “Systems and Methods for Predicting Outages in Electrical Networks Based on Voltage Measurements from SCADA-Enabled Devices.” The invention describes receiving sensor data from SCADA-enabled sensors connected to an electrical grid and identifying momentary outages from that data. It then uses those outages to predict possible sustained outages and estimate the likelihood of each one. This approach is intended to help assess developing outage risks from voltage measurements and related grid data.

Career Highlights

Arifulla’s listed professional affiliations include Ernst & Young U.S. LLP and Eversource Energy Service Company. His patent reflects an application of sensor data and predictive methods to electrical network monitoring.

Collaborations

His listed coworkers include Michael N. Juchno and Edwin D. Patterson, Jr. The available information identifies these professional connections but does not specify their roles in the patent.

Conclusion

Mohammed Zaki Anwer Arifulla’s patent focuses on using SCADA sensor measurements to identify momentary outages and anticipate the likelihood of sustained outages, contributing a predictive approach to electrical grid monitoring.

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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