West Lafayette, IN, United States of America

Mikhail Mike Atallah

This inventor holds 1 USPTO granted patent. Top assignees: At&t Intellectual Property I, LP, Perdue Research Foundation. Active years: 2013.


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 38(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Mikhail Mike Atallah: Innovator in Natural Language Watermarking

Introduction

Mikhail Mike Atallah is a notable inventor based in West Lafayette, IN (US). He has made significant contributions to the field of natural language processing, particularly through his innovative patent in watermarking digital text. His work has implications for various applications in digital communication and information security.

Latest Patents

Mikhail Mike Atallah holds a patent for a method, system, and machine-readable medium for watermarking natural language digital text. This patent, titled "Natural Language Watermarking," involves generating a deep structure and extracting features from natural language digital text input. The deep structure can be modified based on a watermark, leading to the generation of natural language digital text output that incorporates the watermark. He has 1 patent to his name.

Career Highlights

Throughout his career, Atallah has worked with prominent organizations, including AT&T Intellectual Property I, LP and Purdue Research Foundation. His experience in these institutions has allowed him to develop and refine his innovative ideas in the realm of technology and digital communication.

Collaborations

Mikhail Mike Atallah has collaborated with esteemed colleagues such as Giuseppe Riccardi and Dilek Zeynep Hakkani-Tur. These partnerships have contributed to the advancement of his research and the successful development of his patent.

Conclusion

Mikhail Mike Atallah is a distinguished inventor whose work in natural language watermarking showcases his innovative spirit and technical expertise. His contributions to the field are significant and continue to influence advancements in digital text processing.

Profile summary based on public USPTO records.
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