Houston, TX, United States of America

Michael J Zeitlin




Average Co-Inventor Count = 3.5

ph-index = 7

Forward Citations = 297(Granted Patents)


Company Filing History:


Years Active: 2004-2021

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8 patents (USPTO):Explore Patents

Title: Michael J. Zeitlin: Innovator in Data Visualization and Analysis

Introduction

Michael J. Zeitlin is a prominent inventor based in Houston, TX, known for his innovative contributions to data visualization and analysis. With a total of 8 patents, Zeitlin has developed groundbreaking systems that enhance the way users interact with complex datasets. His work focuses on creating user-directed tools that facilitate real-time data manipulation and visualization.

Latest Patents

Among his latest patents, Zeitlin has developed systems and methods for blending and aggregating multiple related datasets. This technology allows for the rapid generation of interactive 3D visualizations, enabling users to manipulate a blended data model (BDM) in real-time. The BDM can be iteratively adjusted using a question-answer-response format, revealing patterns that may not be immediately obvious. Another significant patent involves a system and method for analyzing and imaging three-dimensional volume data sets using a three-dimensional sampling probe. This innovative approach allows users to create, shape, and move sampling probes interactively within a 3D volume, providing a fast and effective way to visualize and interpret complex data.

Career Highlights

Michael J. Zeitlin has worked with notable companies such as Landmark Graphics Corporation and Magic Earth, Inc. His experience in these organizations has contributed to his expertise in developing advanced data visualization technologies.

Collaborations

Throughout his career, Zeitlin has collaborated with talented individuals, including Yin L. Cheung and Mark Acosta. These partnerships have fostered innovation and creativity in his projects.

Conclusion

Michael J. Zeitlin's contributions to data visualization and analysis have significantly impacted the field. His innovative patents and collaborative efforts continue to shape the way users interact with complex datasets.

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