Company Filing History:
2 out of 523 
2 out of 3 
1 out of 832,718 Years Active: 2016-2022
Title: Maziar Yaesoubi: Innovator in Dynamic Covariance Estimation and Image Analysis
Introduction
Maziar Yaesoubi is a notable inventor based in Albuquerque, NM (US). He has made significant contributions to the fields of dynamic covariance estimation and image analysis. With a total of 3 patents, his work focuses on innovative methods that enhance the understanding of complex systems and improve health analysis techniques.
Latest Patents
Yaesoubi's latest patents include a "System and methods for dynamic covariance estimation of a multivariate signal." This invention captures rapid changes in complex systems by examining the interaction of various components within the system. A multivariate signal is decomposed into a dictionary of elements and a corresponding sparse mixing matrix. Each dictionary element provides a rank-1 estimation of a disjoint partition of time points of the signal, allowing for the estimation of the covariance of each partition using an outer-product of the corresponding dictionary element.
Another significant patent is the "Method and system for feature extraction and decision making from series of images." This apparatus and method involve examining a subject using images, providing a non-invasive analysis technique. The images can include a plurality of images of a portion of the subject at different times with a temperature stimulus applied. The sequence of images is processed after aligning them, allowing for data extraction that can inform decisions regarding the health status of the subject.
Career Highlights
Throughout his career, Maziar Yaesoubi has worked with various organizations, including Stc.unm and Skinfrared LLC. His innovative approaches have positioned him as a key figure in his field, contributing to advancements in technology and health analysis.
Collaborations
Yaesoubi has collaborated with notable individuals such as Sanjay Krishna and Sanchita Krishna. These partnerships have further enriched his work and expanded the impact of his inventions.
Conclusion
Maziar Yaesoubi's contributions to dynamic covariance estimation and image analysis demonstrate his commitment to innovation and improvement in complex systems. His patents reflect a deep understanding of technology and its applications in health analysis.
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