Woodinville, WA, United States of America

Mohammad Mustafa Bari

This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignee: T-Mobile USA, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohammad Mustafa Bari. Retrieved from https://idiyas.com/inventor/mohammad-mustafa-bari

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

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 3.9

ph-index = 1


Company Filing History:


Years Active: 2026

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4 patents (USPTO):Explore Patents

Title: Mohammad Mustafa Bari: Telecommunications Innovation at T-Mobile

Introduction

Mohammad Mustafa Bari is an inventor based in Woodinville, Washington, whose work includes innovations in telecommunications and machine learning. He is associated with T-Mobile USA, Inc., and holds 4 patents.

Latest Patents

Bari’s latest patent, “Machine Learning Approaches for Provisioning Telecommunications Services,” describes a simulator for assessing how changes to multiple systems may affect performance metrics, including in 5G networks. The simulator gathers sensor measurements from those systems, standardizes the data into a common format, and classifies it according to relevant performance metrics. It then uses the standardized data to generate a model of a target system and simulate the effects of proposed changes. A network interface allows end users to explore simulations and identify procedures for mitigating potential impacts.

Career Highlights

Bari’s patent work reflects the application of machine learning and sensor data to telecommunications service planning. His disclosed approach supports performance analysis and decision-making for complex network systems.

Collaborations

Bari’s listed coworkers include Ramanjaneya Reddy Thirupathi and Anand Kumar Subramaniam. His work is associated with T-Mobile USA, Inc.

Conclusion

Mohammad Mustafa Bari’s patent portfolio highlights an approach to telecommunications innovation that uses machine learning and system data to help evaluate network performance and service provisioning.

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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