logo

For the Inventor, By the Inventor

New York, NY, United States of America

Paul Sajda

This inventor holds 16 USPTO granted patents and 5 published patent applications, primarily in Neurotechnology Applications. Top assignees: Columbia University, Sarnoff Corporation, Optios, Inc.. Active years: 2000-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Sajda. Retrieved from https://idiyas.com/inventor/paul-sajda

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

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 87.5

Average Co-Inventor Count = 3.4

ph-index = 8

Forward Citations = 313(Granted Patents)


Location History:

  • Lawrenceville, NJ (US) (2000)
  • Princeton, NJ (US) (2001)
  • Jersey City, NJ (US) (2001)
  • New York, NY (US) (2002 - 2023)

Company Filing History:

goldMedal7 out of 2,560 
 
Columbia University
 patents
silverMedal4 out of 566 
 
Sarnoff Corporation
 patents
bronzeMedal3 out of 3 
 
Optios, Inc.
 patents
4. 1 out of 1 
 
Neuromatters, LLC
 patent
5. 1 out of 834,601 
Other
 patents

Years Active: 2000-2025

Loading Chart...
Areas of Expertise:
Trading Performance
Brain State Models
Neurophysiological States
EEG
fMRI
Deep Reinforcement Learning
Neural Correlates
Image Annotation
Ophthalmic Diagnosis
Neural Network Training
Breast Cancer Detection
Visual Pattern Mining
16 patents (USPTO):Explore Patents
1. 12511691 - Optimization of trading performance using both brain state models and operational performance models (2025-12-30),
2. 12376775 - Identifying and strengthening physiological/neurophysiological states predictive of superior performance (2025-08-05),
3. 12125593 - Systems and methods for fusing EEG and fMRI through hierarchical deep transcoding (2024-10-22),
4. 11755108 - Systems and methods for deep reinforcement learning using a brain-artificial intelligence interface (2023-09-12),
5. 11602293 - Identifying and strengthening physiological/neurophysiological states predictive of superior performance (2023-03-14),
6. 10835147 - Method for predicting efficacy of a stimulus by measuring physiological response to stimuli (2020-11-17),
7. 10299695 - Systems and methods for identifying and tracking neural correlates of baseball pitch trajectories (2019-05-28),
8. 9665824 - Rapid image annotation via brain state decoding and visual pattern mining (2017-05-30),
9. 8731650 - Single Trial detection in encephalography (2014-05-20),
10. 8671069 - Rapid image annotation via brain state decoding and visual pattern mining (2014-03-11),
11. 7835787 - Single trial detection in encephalography (2010-11-16),
12. 7013283 - System and method for providing programming content in response to an audio signal (2006-03-14),
13. 6454410 - Mosaicing and enhancement of images for ophthalmic diagnosis and documentation (2002-09-24),
14. 6324532 - Method and apparatus for training a neural network to detect objects in an image (2001-11-27),
15. 6208983 - Method and apparatus for training and operating a neural network for detecting breast cancer (2001-03-27),

Title: The Innovations of Paul Sajda

Introduction

Paul Sajda is a prominent inventor based in New York, NY (US), known for his significant contributions to the fields of neurophysiology and performance prediction. With a total of 16 patents, his work focuses on understanding and enhancing human performance through advanced technological systems.

Latest Patents

One of Sajda's latest patents is titled "Identifying and strengthening physiological/neurophysiological states predictive of superior performance." This innovative system aims to identify physiological states that predict a person's performance by utilizing physiological and behavioral interfaces along with a data processing pipeline. The system employs physiological sensors to gather data about the individual while performing a task, while the behavioral interface collects performance data. The pipeline integrates this data with reference data from a population performing similar tasks, allowing for the identification of brain states and their correlation with performance levels.

Another notable patent is "Systems and methods for fusing EEG and fMRI through hierarchical deep transcoding." This patent describes techniques for hierarchical deep transcoding, where a processor receives functional magnetic resonance imaging (fMRI) data and/or extracranial electroencephalogram (EEG) data. The system reconstructs a latent source space from the acquired data, enabling simultaneous acquisition of fMRI and EEG data for enhanced analysis.

Career Highlights

Throughout his career, Paul Sajda has worked with esteemed organizations such as Columbia University and Sarnoff Corporation. His research and innovations have significantly impacted the understanding of brain states and their relationship to performance.

Collaborations

Sajda has collaborated with notable individuals in his field, including Lucas Cristobal Parra and Clay Douglas Spence. These collaborations have furthered the development of his innovative technologies and research.

Conclusion

Paul Sajda's contributions to the fields of neurophysiology and performance prediction through his patents and collaborations highlight his role as a leading inventor. His work continues to influence the understanding of human performance and the underlying physiological mechanisms.

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]
Loading…