Wheaton, IL, United States of America

Chris Paskvan

This inventor holds 2 USPTO granted patents. Top assignee: Uptake Technologies, Inc.. Active years: 2021-2023.


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Chris Paskvan: Innovator in Asset Insight Technologies

Introduction

Chris Paskvan is a notable inventor based in Wheaton, IL (US). He has made significant contributions to the field of asset management through his innovative computing systems. With a total of 2 patents, Paskvan has developed technologies that enhance the way users interact with asset data.

Latest Patents

One of Chris Paskvan's latest patents is a "Computer system and method for presenting asset insights at a graphical user interface." This computing system is designed to derive insights related to asset operation and present these insights via a graphical user interface (GUI). The system receives data related to the operation of assets and derives a plurality of insights based on this data. It defines a subset of insights to be presented to users and aggregates insights that relate to common underlying problems. The system ultimately displays a visualization of these insights, including an insights pane for a high-level overview and a details pane for additional information.

Career Highlights

Chris Paskvan is currently employed at Uptake Technologies, Inc., where he continues to innovate in the field of asset management technologies. His work focuses on creating systems that improve the efficiency and effectiveness of asset operation insights.

Collaborations

Some of Chris Paskvan's coworkers include Kirk Gustafson and Mitch Laski, who contribute to the collaborative environment at Uptake Technologies, Inc.

Conclusion

Chris Paskvan is a dedicated inventor whose work in asset insight technologies is paving the way for more efficient asset management solutions. His contributions are significant in enhancing user interaction with complex data.

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