Sunil Bhat

Title: Innovations by Sunil Bhat in Geolocation Prediction

Introduction

Sunil Bhat is an accomplished inventor based in Plano, TX (US). He has made significant contributions to the field of machine learning and geolocation prediction. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of geolocation data processing.

Latest Patents

Sunil Bhat's latest patents include innovative methods for reducing and geo-spatially distributing training data for geolocation prediction using machine learning. One of his patents describes a method for limiting machine learning model training data by defining grids that cover geographic areas. This method involves selecting truth call records with geolocation data and assigning them to grid boxes without exceeding a maximum number of entries per box. The output is a refined dataset for training machine learning models.

Another notable patent focuses on geolocation prediction for user equipment in a communication network. This method involves receiving call records that include a cell list identifying the server cell for the user equipment call session. By selecting call records with truth data and determining centroids based on geolocation data, the method allows for accurate predictions of geolocation based on submitted cell lists.

Career Highlights

Sunil Bhat is currently employed at Netscout Systems Texas, LLC, where he continues to develop innovative solutions in the field of telecommunications and machine learning. His expertise in geolocation prediction has positioned him as a valuable asset in his company.

Conclusion

Sunil Bhat's contributions to the field of geolocation prediction through his innovative patents demonstrate his commitment to advancing technology. His work not only enhances the accuracy of geolocation data but also improves the efficiency of machine learning applications in telecommunications.