New York, NY, United States of America

Mikhail Proniushkin

USPTO Granted Patents = 15 

Average Co-Inventor Count = 8.8

ph-index = 4

Forward Citations = 79(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2017 - 2021)
  • New York, NY (US) (2020 - 2023)

Company Filing History:


Years Active: 2017-2025

Loading Chart...
15 patents (USPTO):Explore Patents

Title: Mikhail Proniushkin: Innovator in Time Series Visualization

Introduction

Mikhail Proniushkin is a prominent inventor based in New York, NY (US), known for his significant contributions to the field of data visualization and analysis. With a total of 15 patents to his name, he has made a notable impact in the realm of ontology-based methods for presenting time series data.

Latest Patents

One of Mikhail's latest patents is focused on ontology-based time series visualization and analysis. This innovative method involves receiving a first input that defines a metric indicating a relationship between two time series associated with a data object. The system generates a plot depicting this metric and allows users to select additional data objects to analyze further relationships through a graphical user interface. This approach enhances the understanding of complex data relationships and provides valuable insights for users.

Career Highlights

Mikhail Proniushkin has established a successful career at Palantir Technologies Inc., where he applies his expertise in data analysis and visualization. His work has been instrumental in developing advanced systems that facilitate the interpretation of time series data, making it easier for organizations to derive actionable insights from their data.

Collaborations

Throughout his career, Mikhail has collaborated with talented individuals such as Lucas Lemanowicz and John McRaven. These partnerships have contributed to the development of innovative solutions in the field of data visualization.

Conclusion

Mikhail Proniushkin is a distinguished inventor whose work in time series visualization has advanced the way data is analyzed and understood. His contributions continue to influence the field and inspire future innovations.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…