Company Filing History:
Years Active: 2012
Title: Damien Sereni: Innovator in Query Optimization
Introduction
Damien Sereni is a notable inventor based in Oxford, GB. He has made significant contributions to the field of query optimization, holding 2 patents that enhance the efficiency and accuracy of data retrieval processes.
Latest Patents
One of Damien's latest patents is titled "Approximating query results by relations over types for error detection and optimization." This invention provides a method and system for computing an approximation of query results, representing a superset of all possible results. Unlike conventional systems that infer types for each field individually, this method tracks equalities of fields to improve precision. It is particularly useful for detecting erroneous queries that yield empty results and for optimizing procedure calls by eliminating irrelevant parts.
Another significant patent is "Approximating relation sizes using field dependencies." This invention computes an approximation of the number of distinct results of a query over a relational data source. By analyzing dependencies between fields, it can reorder query parts based on estimated sizes, guiding the evaluation of subqueries effectively.
Career Highlights
Damien Sereni is currently employed at Semmle Limited, where he applies his expertise in query optimization. His work focuses on developing innovative solutions that improve data processing and retrieval.
Collaborations
Damien collaborates with esteemed colleagues such as Oege De Moor and Pavel Avgustinov, contributing to advancements in their shared field of expertise.
Conclusion
Damien Sereni's contributions to query optimization through his patents demonstrate his commitment to enhancing data retrieval processes. His work continues to influence the field positively, showcasing the importance of innovation in technology.