Herndon, VA, United States of America

Farhana Sharmin Munnee


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Farhana Sharmin Munnee: Innovator in Telecommunications

Introduction

Farhana Sharmin Munnee is a prominent inventor based in Herndon, VA (US). She has made significant contributions to the field of telecommunications, particularly through her innovative use of machine learning to enhance network performance predictions.

Latest Patents

Munnee holds a patent for her work titled "Telecommunications network predictions based on machine learning using aggregated network key performance indicators." This patent describes systems and methods for making telecommunication network predictions on a granular geographic area-scale. The method involves receiving network key performance indicators (KPIs) associated with a plurality of user equipment (UEs) and parsing these KPIs into geographic area-based categories. These categories correspond to network KPIs obtained by cell towers or UEs located within specific geographic areas, such as zip codes. Furthermore, the method combines these categories into clusters based on similarities in the network KPIs and predicts the most influential KPI within at least one of the clusters using a machine learning model. The outcome is an indicator generated at a user interface, highlighting the most influential KPI within the identified clusters.

Career Highlights

Farhana is currently employed at T-Mobile Innovations LLC, where she continues to develop her expertise in telecommunications and machine learning. Her innovative approach has positioned her as a key player in her field.

Collaborations

Throughout her career, Munnee has collaborated with notable colleagues, including Hui-Lin Chang and Lance Paul Lukens. These partnerships have further enriched her work and contributed to advancements in telecommunications technology.

Conclusion

Farhana Sharmin Munnee is a trailblazer in the telecommunications industry, leveraging machine learning to improve network predictions. Her contributions are paving the way for future innovations in this critical field.

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