Vancouver, Canada

Amin Suzani

USPTO Granted Patents = 4 


Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2019-2024

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: **Amin Suzani: Innovator in Machine Learning**

Introduction

Amin Suzani is an accomplished inventor based in Vancouver, Canada, known for his significant contributions to the field of machine learning. With a total of four patents to his name, Suzani has demonstrated a strong ability to develop innovative techniques that enhance the capabilities of machine learning models.

Latest Patents

Among his latest inventions, Ami Suzani has introduced two notable patents. The first is titled "Sparse Ensembling of Unsupervised Models," which provides techniques for the sparse ensembling of unsupervised machine learning models. This innovative architecture involves multiple unsupervised machine learning models that generate scores as output. A gating network analyzes the models' inputs and outputs to select an optimal ensemble, aiming to achieve a final score that closely resembles that computed using all available scores.

The second patent, "Multi-Stage Feature Extraction for Effective ML-Based Anomaly Detection on Structured Log Data," introduces feature extraction mechanisms that transform parsed log messages into numerical feature vectors suitable for machine learning models. This invention includes dynamically selecting a field transformer based on the field's name and type and encoding these values into feature vectors. This process enables efficient detection of anomalous log messages based on machine learning algorithms.

Career Highlights

Amin Suzani has garnered experience at prominent companies during his career, including Oracle International Corporation and Amazon Technologies, Inc. His professional journey through these industry leaders has contributed to his expertise in machine learning and innovation.

Collaborations

Throughout his career, Suzani has collaborated with talented individuals, including Saeid Allahdadian and Milos Vasic. These partnerships have likely enriched his inventive processes, leading to impactful advancements in machine learning technologies.

Conclusion

Amin Suzani stands out as an influential inventor in the realm of machine learning. With his innovative patents and collaboration with esteemed colleagues, he continues to push the boundaries of technology, paving the way for future advancements in the field. His work not only exemplifies creativity but also highlights the importance of collaboration in driving innovation.

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