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For the Inventor, By the Inventor

Wallington, NJ, United States of America

Pavel Romanovski

This inventor holds 11 USPTO granted patents. Top assignee: Deepintent, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pavel Romanovski. Retrieved from https://idiyas.com/inventor/pavel-romanovski

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 11

% Patents Active = 100.0

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:

goldMedal11 out of 13 
 
Deepintent, Inc.
 patents

Years Active: 2021-2026

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11 patents (USPTO):Explore Patents
1. 12548044 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2026-02-10),
2. 11907967 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2024-02-20),
3. 11841976 - Utilizing a protected server environment to protect data used to train a machine learning system (2023-12-12),
4. 11475155 - Utilizing a protected server environment to protect data used to train a machine learning system (2022-10-18),
5. 11449632 - Utilizing a protected server environment to protect data used to train a machine learning system (2022-09-20),
6. 11328319 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2022-05-10),
7. 11308517 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2022-04-19),
8. 11238493 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2022-02-01),
9. 11238492 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2022-02-01),
10. 11210424 - Utilizing a protected server environment to protect data used to train a machine learning system (2021-12-28),
11. 11055737 - Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization (2021-07-06),

Title: Innovations of Pavel Romanovski

Introduction

Pavel Romanovski is a notable inventor based in Wallington, NJ (US), recognized for his contributions to technology and data integration. With a total of 10 patents to his name, he has made significant strides in the field of digital transmissions and machine learning.

Latest Patents

One of his latest patents is titled "Automatic data integration for performance measurement of multiple separate digital transmissions with continuous optimization." This invention involves a method for obtaining impression data from a demand-side platform (DSP) and integrating it with tokenized claims data records related to product prescriptions. The result is a set of integrated measurement records that link advertising campaigns with consumer interactions. Additionally, he has developed a method for utilizing a protected server environment to safeguard data used in training machine learning systems. This method includes storing media items corresponding to various status values and computing likelihood values associated with specific status values for client devices.

Career Highlights

Pavel Romanovski currently works at DeepIntent, Inc., where he applies his expertise in data integration and machine learning. His innovative approaches have contributed to advancements in how digital advertising campaigns are measured and optimized.

Collaborations

He collaborates with talented coworkers, including Vaso Dakic and Anton Yazovskiy, who share his commitment to innovation and excellence in their respective fields.

Conclusion

Pavel Romanovski's work exemplifies the intersection of technology and creativity, making him a significant figure in the realm of digital innovation. His patents reflect a deep understanding of data integration and machine learning, paving the way for future advancements in these areas.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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