Berkeley, CA, United States of America

Daniel Chudak

This inventor holds 1 USPTO granted patent. Top assignee: Leica Geosystems Ag. Active years: 2011.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 48(Granted Patents)


Company Filing History:


Years Active: 2011

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Daniel Chudak

Introduction

Daniel Chudak is a notable inventor based in Berkeley, CA. He has made significant contributions to the field of geometric data visualization. His work focuses on enhancing the representation of physical objects, particularly when dealing with large amounts of geometric data.

Latest Patents

Chudak holds a patent for "Browsers for large geometric data visualization." This invention allows for the display of a physical object even when the geometric data exceeds the capacity of resident memory. The primary viewing window presents point data using a consistent sampling at an appropriate density. Additionally, auxiliary viewing windows provide two-dimensional representations of the point data. Users can select portions of data in these auxiliary windows, which can then be rendered in the primary window with varying resolutions. This innovative approach ensures that the resolution of selected regions is enhanced while maintaining even spacing among points.

Career Highlights

Daniel Chudak is currently employed at Leica Geosystems AG, where he continues to develop cutting-edge technologies in data visualization. His expertise in this area has positioned him as a valuable asset to the company.

Collaborations

Chudak has worked alongside talented colleagues, including Mark Damon Wheeler and Jonathan Apollo Kung. Their collaborative efforts contribute to the advancement of innovative solutions in their field.

Conclusion

Daniel Chudak's contributions to geometric data visualization exemplify the impact of innovation in technology. His patent and work at Leica Geosystems AG highlight his commitment to enhancing how we visualize complex data.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…