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For the Inventor, By the Inventor

Moscow, Russia

Sergey Ulasen

This inventor holds 22 USPTO granted patents and 4 published patent applications and 3 EPO patents, primarily in Machine Learning Security. Top assignees: Acronis International Gmbh, Ao Kaspersky Lab. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sergey Ulasen. Retrieved from https://idiyas.com/inventor/sergey-ulasen

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

USPTO Granted Patents = 22 

% Patents Active = 95.5

 

Average Co-Inventor Count = 5.1

ph-index = 4

Forward Citations = 100(Granted Patents)


Location History:

  • Costa del Sol, SG (2022)
  • St. Petersburg, RU (2023)
  • Singapore, RU (2023)
  • Moscow, RU (2018 - 2024)

Company Filing History:

goldMedal20 out of 326 
 
Acronis International Gmbh
 patents
silverMedal2 out of 344 
 
Ao Kaspersky Lab
 patents

Years Active: 2018-2026

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Areas of Expertise:
Machine Learning
Malware Detection
Data Classification
Cybersecurity
Process Behavior Analysis
Artificial Intelligence
Data Recovery
Ransomware Detection
File Archiving
Neural Networks
Semantic Embeddings
Antivirus Scanning
22 patents (USPTO):Explore Patents
1. 12694335 - Systems and methods for repurposing a machine learning model (2026-07-28),
2. 12314219 - System and method for data classification using machine learning during archiving (2025-05-27),
3. 12277757 - Systems and methods for color-based outfit classification using semantic embeddings (2025-04-14),
4. 12124574 - System and method of synthesizing potential malware for predicting a cyberattack (2024-10-22),
5. 12080054 - Systems and methods for detecting small objects in an image using a neural network (2024-09-03),
6. 11836252 - Machine learning through iterative memory analysis for malware detection (2023-12-05),
7. 11611586 - Systems and methods for detecting a suspicious process in an operating system environment using a file honeypots (2023-03-21),
8. 11609988 - Systems and methods for detecting malicious behavior in process chains (2023-03-21),
9. 11586736 - Systems and methods for detecting malicious processes (2023-02-21),
10. 11580061 - System and method for file archiving using machine learning (2023-02-14),
11. 11561875 - Systems and methods for providing data recovery recommendations using A.I (2023-01-24),
12. 11494491 - Systems and methods for protecting against malware code injections in trusted processes by a multi-target injector (2022-11-08),
13. 11477232 - Method and system for antivirus scanning of backup data at a centralized storage (2022-10-18),
14. 11449231 - Systems and methods for modifying storage system configuration using artificial intelligence (2022-09-20),
15. 11416612 - Protecting against malware code injections in trusted processes (2022-08-16),

Title: The Innovative Mind of Sergey Ulasen: A Leader in Cybersecurity and Image Processing Patents

Introduction: Sergey Ulasen is a prominent inventor based in Moscow, Russia, known for his significant contributions to the fields of cybersecurity and image processing. With an impressive portfolio of 19 patents, Ulasen has made strides in developing advanced systems and methods that leverage machine learning and neural networks.

Latest Patents: Among his latest innovations, Ulasen has developed a system and method for synthesizing potential malware to predict cyberattacks. This innovative approach utilizes machine learning models trained on synthesized feature sets derived from both known malicious and safe objects. The synthesized feature sets serve as virtual samples, enabling classifiers to recognize new potentially malicious objects in real time.

Another notable patent focuses on detecting small objects in images using a neural network. This system outlines a process where a neural network (NN) is trained on various images to identify smaller objects. If the initial NN cannot classify an object below a certain size, a secondary NN is generated and trained to improve detection accuracy.

Career Highlights: Ulasen has played pivotal roles in renowned technology companies such as Acronis International GmbH and Kaspersky Lab. His work in these positions has cemented his reputation as a leader in cybersecurity and advanced image processing technologies.

Collaborations: Throughout his career, Ulasen has collaborated with influential figures in the tech industry, including Serguei M. Beloussov and Stanislav Protasov. These partnerships have allowed him to combine expertise and push the envelope in innovative technological developments.

Conclusion: Sergey Ulasen continues to be a driving force in innovation, particularly in the realms of cybersecurity and image processing. His array of patents reflects his dedication to advancing technology and improving safety in the digital landscape. His work aims to address pressing challenges in today's technology-driven world, benefiting both industries and consumers alike.

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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