Wixom, MI, United States of America

Mark Zavada

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2016-2025

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10 patents (USPTO):Explore Patents

Title: Mark Zavada: Innovator in Inkjet Technology

Introduction

Mark Zavada is a prominent inventor based in Wixom, MI (US), known for his contributions to the field of digital inkjet technology. With a total of 10 patents, he has made significant advancements in the application of machine learning to enhance the capabilities of inkjet processing.

Latest Patents

Zavada's latest patents include innovative techniques for applying three-dimensional (3D) relief to substrates such as ceramic tiles using digital inkjet technology. One notable patent describes a method where a computer system receives information defining a relief pattern for forming the 3D relief. A feature vector is extracted from this information, and a machine learning model generates control commands to configure the digital inkjet printer. This process allows for the application of binder ink to create a protective layer over specific regions of the substrate. Another patent outlines a similar technique that involves applying binder ink to form a barrier layer, followed by a brushing process to remove unprotected portions, thereby creating the desired 3D relief.

Career Highlights

Mark Zavada is currently employed at Electronics for Imaging GmbH, where he continues to develop and refine his innovative techniques in inkjet technology. His work has positioned him as a key figure in the industry, contributing to advancements that enhance the quality and efficiency of digital printing processes.

Collaborations

Throughout his career, Zavada has collaborated with notable colleagues, including Matthew Tennis and David Weber. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Mark Zavada's contributions to the field of digital inkjet technology exemplify the impact of innovation on modern manufacturing processes. His work continues to inspire advancements in the application of machine learning within the industry.

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