Mohammed Fahd Alhamid

Title: Innovations of Mohammed Fahd Alhamid

Introduction

Mohammed Fahd Alhamid is a notable inventor based in North York, Canada. He has made significant contributions to the field of computer science, particularly in database management and machine learning. With a total of three patents to his name, Alhamid's work focuses on enhancing query selectivity predictions and cardinality estimation.

Latest Patents

Alhamid's latest patents include "Automated query selectivity predictions using query graphs." This invention describes a computer-implemented method that involves training a machine learning model. The model is trained by generating a set of training queries using a query workload and relationships between tables in a database. It builds a query graph for each training query, computes selectivity based on the query graph, and constructs an initial join result distribution as a collection of query graphs.

Another significant patent is "Automated query predicate selectivity prediction using machine learning models." This invention provides a method, computer system, and computer program product for cardinality estimation. It includes accessing database relations to collect random samples and generating training data from these samples. The training data is then used to build a cumulative frequency function (CFF) model, which provides cardinality estimation for SQL operators.

Career Highlights

Alhamid is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to advancements in technology. His work at IBM has allowed him to apply his inventions in real-world applications, enhancing the efficiency of database systems.

Collaborations

Some of his notable coworkers include Vincent Corvinelli and Calisto Paul Zuzarte. Their collaboration has likely contributed to the development and refinement of Alhamid's innovative ideas.

Conclusion

Mohammed Fahd Alhamid is a distinguished inventor whose work in machine learning and database management has led to significant advancements in the field. His patents reflect a commitment to improving technology and enhancing the efficiency of data processing.