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Years Active: 2025
Title: Vasiliki Kantere: Innovator in Query Execution Plans
Introduction
Vasiliki Kantere is a prominent inventor based in Ottawa, Canada. She has made significant contributions to the field of computer science, particularly in the area of query execution plans. With a total of 2 patents, her work focuses on enhancing the efficiency and effectiveness of database query processing.
Latest Patents
Vasiliki's latest patents include innovative techniques for evaluating query execution plans. The first patent, titled "Hybrid cost model for evaluating query execution plans," introduces hybrid cost model-based techniques that utilize both learned and classic cost models. This method involves inputting a query and a search space of candidate execution plans to predict execution times and costs. The model generates training labels to identify the most suitable cost model for planning queries.
The second patent, "Robust query execution plan selection using machine learning with predictive uncertainties," focuses on selecting optimal query execution plans. This invention trains a model to estimate execution times and uncertainties for various plans. By computing suboptimality risks and applying a selection policy, the method ensures that the most efficient plan is chosen based on uncertainty metrics.
Career Highlights
Vasiliki Kantere is currently employed at International Business Machines Corporation (IBM), where she continues to develop her innovative ideas. Her work at IBM has allowed her to collaborate with leading experts in the field and contribute to cutting-edge research in database technologies.
Collaborations
Some of her notable coworkers include Vincent Corvinelli and Brandon Lewis Frendo. Their collaborative efforts have further advanced the research and development of query execution strategies.
Conclusion
Vasiliki Kantere is a trailblazer in the realm of query execution plans, with her patents reflecting her commitment to innovation and efficiency in database management. Her contributions are paving the way for future advancements in the field.
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