San Francisco, CA, United States of America

Lutfiye Umit Yalcinalp


Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2015-2023

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5 patents (USPTO):Explore Patents

Title: Lutfiye Umit Yalcinalp: Innovator in LDAP Query Optimization

Introduction

Lutfiye Umit Yalcinalp is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of Lightweight Directory Access Protocol (LDAP) with a total of five patents to his name. His work focuses on enhancing query performance on LDAP servers, showcasing his expertise in optimizing data retrieval processes.

Latest Patents

Yalcinalp's latest patents include innovative techniques for improving LDAP query performance. One of his patents, titled "LDAP query optimization with smart index selection," involves a method for receiving an LDAP query with specific search criteria. This technique identifies search filters, determines candidate indices, evaluates them based on collected statistics, and selects the most effective indices for executing the query. Another significant patent, "Dynamic query hints in LDAP search operations," outlines a process for evaluating mappings for search filter patterns to index query hints. This method enhances query execution by selecting indices based on identified query hints.

Career Highlights

Throughout his career, Yalcinalp has worked with prominent companies such as Adobe Systems Inc. and Oracle International Corporation. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking innovations in the field of data management.

Collaborations

Some of Yalcinalp's notable coworkers include John A Trammel and Andrei Kalfas. Their collaboration has likely fostered an environment of innovation and creativity, further enhancing the development of advanced technologies in LDAP.

Conclusion

Lutfiye Umit Yalcinalp stands out as a key figure in the realm of LDAP innovations. His patents reflect a deep understanding of query optimization, making significant strides in improving data access efficiency. His contributions continue to influence the field and inspire future advancements.

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