This inventor holds 2 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent and 2 EPO patents. Top assignees: Future Wei Technologies, Inc., Huawei Technologies Co., Limited. Active years: 2024.
Company Filing History:
1 out of 3,059 
1 out of 27,557 
Years Active: 2024
Title: Ahmad Ghazal: Innovator in Query Processing Technologies
Introduction
Ahmad Ghazal is a notable inventor based in Redondo Beach, CA (US). He has made significant contributions to the field of database management systems, particularly in query processing technologies. With a total of 2 patents, his work has advanced the efficiency and functionality of relational databases.
Latest Patents
Ghazal's latest patents include innovative methods for processing iterative query constructs in relational databases. One patent describes a method for functionally rewriting iterative queries for a relational database management system (RDBMS). This method involves receiving a first iterative query, determining modifications to rows in a working table, and rewriting the query to optimize performance. Another patent focuses on query processing using logical query steps with canonical forms. This device includes a communication interface, memory, and a processor that executes instructions to parse queries and generate execution plans based on previously determined cardinality values.
Career Highlights
Throughout his career, Ahmad Ghazal has worked with prominent companies such as Future Wei Technologies, Inc. and Huawei Technologies Co., Limited. His experience in these organizations has allowed him to develop and refine his expertise in database technologies and query processing.
Collaborations
Ghazal has collaborated with notable coworkers, including Mingyi Zhang and Sofoklis Floratos. These partnerships have contributed to his innovative work in the field.
Conclusion
Ahmad Ghazal's contributions to query processing technologies have established him as a significant figure in the field of database management. His patents reflect a commitment to enhancing the efficiency of relational databases, making a lasting impact on the industry.