Millburn, NJ, United States of America

Stanley Vitebsky

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Caci, Inc. - Federal. Active years: 2023-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stanley Vitebsky. Retrieved from https://idiyas.com/inventor/stanley-vitebsky-3h7r00hv

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 1.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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3 patents (USPTO):Explore Patents

Title: Innovations of Stanley Vitebsky

Introduction

Stanley Vitebsky is an accomplished inventor based in Millburn, NJ (US). He has made significant contributions to the field of telecommunications, particularly in the areas of dynamic spectrum access and machine learning. With a total of three patents to his name, Vitebsky's work showcases his expertise and innovative thinking.

Latest Patents

One of Vitebsky's latest patents is titled "Method and apparatus employing distributed sensing and deep learning for dynamic spectrum access and spectrum sharing." This patent describes a method for training a neural network using deep reinforcement learning (DRL) in a radio frequency (RF) network. The method involves receiving a policy from a third party and features from multiple telecommunication groups. It also includes observing a graphical representation of these features and assigning telecommunication groups to channels based on this observation. Furthermore, the method determines changes in throughput and adjusts the policy accordingly.

Another notable patent is "Primary signal detection using distributed machine learning in multi-area environment." This patent outlines methods and systems for detecting primary signals using distributed machine learning. In this method, a first user equipment (UE) device is monitored as it moves between predefined areas. A controller sends a machine learning model to the UE device to detect anomalies in the RF environment. The controller then receives anomaly data from the UE device, which may indicate the presence of a primary signal.

Career Highlights

Stanley Vitebsky is currently employed at CACI, Inc. - Federal, where he continues to develop innovative solutions in telecommunications. His work has been instrumental in advancing the capabilities of RF networks and enhancing communication technologies.

Collaborations

Vitebsky collaborates with various professionals in his field, including his coworker Marc J Beacken. Their combined expertise contributes to the success of their projects and the advancement of technology in telecommunications.

Conclusion

Stanley Vitebsky's contributions to the field of telecommunications through his innovative patents demonstrate his commitment to advancing technology. His work in dynamic spectrum access and machine learning continues to influence the industry positively.

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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