Shrewsbury, MA, United States of America

Umair Zia

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: Umair Zia. Retrieved from https://idiyas.com/inventor/umair-zia

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: Umair Zia: Inventor in Electrical Grid Outage Prediction.

Introduction

Umair Zia is an inventor associated with Shrewsbury, Massachusetts. His patent work addresses the prediction of sustained outages in electrical networks using voltage measurements from supervisory control and data acquisition (SCADA)-enabled devices.

Latest Patents

Zia is credited with 1 patent: “Systems and Methods for Predicting Outages in Electrical Networks Based on Voltage Measurements from SCADA-Enabled Devices.” The disclosed method receives sensor data from SCADA-enabled sensors connected to an electrical grid and identifies momentary outages from that data. It then uses those momentary outages to predict possible sustained outages and estimate a likelihood for each predicted outage.

Career Highlights

The provided career information lists Ernst & Young U.S. LLP and Eversource Energy Service Company among the companies where Zia has worked. His patent focuses on applying grid sensor measurements to outage prediction.

Collaborations

The provided information identifies Mohammed Zaki Anwer Arifulla and Michael N. Juchno as Zia’s coworkers.

Conclusion

Umair Zia’s patent describes a data-driven approach to anticipating sustained electrical grid outages from momentary outage patterns, connecting his invention to the reliability and monitoring of electrical networks.

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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