Albuquerque, NM, United States of America

Alireza Goudarzi


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:

goldMedal1 out of 832,843 
Other
 patents

Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Alireza Goudarzi: Innovator in High-Dimensional Sequence Processing

Introduction

Alireza Goudarzi is a prominent inventor based in Albuquerque, NM (US). He has made significant contributions to the field of high-dimensional sequence processing through his innovative patent. His work focuses on developing advanced architectures that enhance the processing of complex data.

Latest Patents

Goudarzi holds a patent for a "Hybrid architecture system and method for high-dimensional sequence processing." This invention is directed to a hybrid architecture that comprises a stacked autoencoder and a deep echo state layer for temporal pattern discovery in high-dimensional sequence data. The stacked autoencoder plays a preprocessing role that exploits spatial structure in data and creates a compact representation. The compact representation is then fed to the echo state layer in order to generate a short-term memory of the inputs. The output of the network may be trained to generate any target output. He has 1 patent to his name.

Career Highlights

Throughout his career, Goudarzi has demonstrated a commitment to advancing technology in his field. His innovative approaches have garnered attention and recognition within the research community. His work is characterized by a blend of theoretical knowledge and practical application, making significant strides in the understanding of high-dimensional data processing.

Collaborations

Goudarzi has collaborated with notable professionals in his field, including Darko Stefanovic and Steven Wayde Graves. These collaborations have contributed to the development of his innovative ideas and have fostered a productive research environment.

Conclusion

Alireza Goudarzi is a key figure in the realm of high-dimensional sequence processing, with a focus on hybrid architectures that enhance data processing capabilities. His contributions through his patent reflect his dedication to innovation and advancement in technology.

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