Vladimir Sevastyanov

Title: Vladimir Sevastyanov: Innovator in Machine Learning and Routing Configuration

Introduction

Vladimir Sevastyanov is a notable inventor based in Fort Worth, TX, with a focus on advancements in machine learning and routing area configuration. He holds two patents that showcase his innovative contributions to these fields.

Latest Patents

One of his latest patents is titled "Facilitating selection of categorical features in machine learning." This invention provides a method for determining a list of unique values of a categorical variable and calculating respective mean values of a target variable for these unique values. The process includes sorting the list by mean values and calculating derivatives to determine variable significance. Another significant patent is "Configuration of routing areas within an area of interest." This patent outlines a method for improving routing area configuration by utilizing common language location identifiers and generating uniformly distributed sequence points within a defined area.

Career Highlights

Vladimir Sevastyanov is currently employed at AT&T Intellectual Property I, L.P., where he continues to develop innovative solutions in technology. His work has contributed to advancements in both machine learning and routing systems, making a significant impact in these areas.

Collaborations

He has collaborated with notable coworkers, including Abhay Dabholkar and James H. Pratt, who share a commitment to innovation and excellence in their respective fields.

Conclusion

Vladimir Sevastyanov's contributions to machine learning and routing configuration highlight his role as a significant inventor in the technology sector. His patents reflect a deep understanding of complex systems and a dedication to improving technological processes.