Centreville, VA, United States of America

Parth Pathak

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: At&t Intellectual Property I, LP, George Mason University. Active years: 2026.

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: Parth Pathak: Innovator in RF Spectrum Propagation Modeling

Introduction

Parth Pathak is a notable inventor based in Centreville, VA (US). He has made significant contributions to the field of radio frequency (RF) spectrum propagation modeling and prediction. His innovative approach combines statistical methods with machine learning techniques to enhance the accuracy of signal coverage estimates.

Latest Patents

Parth Pathak holds a patent for a "Hybrid statistical and machine learning method and system for radio frequency (RF) spectrum propagation modeling and prediction." This patent involves obtaining data regarding an environment associated with a cell site. It includes identifying coverage pivots from various locations and utilizing machine learning models to determine emission directions. The resulting emission directions enable ray tracing simulations, which derive signal coverage estimates for the coverage pivots and extrapolate estimates for other locations.

Career Highlights

Throughout his career, Parth has worked with prominent organizations, including AT&T Intellectual Property I, LP and George Mason University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in RF technology.

Collaborations

Parth has collaborated with talented individuals such as Abbas Munawar Fazal and Yu Zhou. These partnerships have fostered innovation and have been instrumental in advancing his research projects.

Conclusion

Parth Pathak's work in RF spectrum propagation modeling exemplifies the intersection of statistical analysis and machine learning. His contributions are paving the way for more efficient communication technologies.

Profile summary based on public USPTO records.
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