Orleans, Canada

Seyed Mohammad Amin Kamali


Average Co-Inventor Count = 1.0


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Seyed Mohammad Amin Kamali: Innovator in Query Execution Plans

Introduction

Seyed Mohammad Amin Kamali is a notable inventor based in Orleans, CA. He has made significant contributions to the field of computer science, particularly in the area of query execution plans. His innovative approach has led to the development of a unique hybrid cost model that enhances the efficiency of query processing.

Latest Patents

Kamali holds a patent titled "Hybrid cost model for evaluating query execution plans." This patent introduces techniques that utilize hybrid cost model-based methods for assessing query execution plans. The method involves inputting a query and a search space containing various candidate query execution plans into multiple base cost models. These models include learned cost models and a classic cost model. Each base cost model predicts execution time or cost for the plans, and the real execution time is subsequently determined. The process generates a training label that helps in identifying the most suitable cost model for planning a given query.

Career Highlights

Throughout his career, Kamali has focused on improving the efficiency of database systems. His work on hybrid cost models has been recognized for its potential to optimize query execution, making it a valuable contribution to the field. With 1 patent to his name, he continues to push the boundaries of innovation in computer science.

Collaborations

Kamali has collaborated with notable colleagues, including Vincent Corvinelli and Calisto Zuzarte. Their joint efforts have contributed to advancements in the methodologies used for evaluating query execution plans.

Conclusion

Seyed Mohammad Amin Kamali is a distinguished inventor whose work on hybrid cost models has significantly impacted the field of query execution. His innovative approaches continue to pave the way for advancements in database efficiency and performance.

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