Kirkland, WA, United States of America

Dimitrios Brisimitzis


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Dimitrios Brisimitzis

Introduction

Dimitrios Brisimitzis is an accomplished inventor based in Kirkland, WA (US). He has made significant contributions to the field of technology, particularly in machine learning and performance prediction. With a total of two patents to his name, his work continues to influence advancements in the industry.

Latest Patents

Dimitrios's latest patents focus on time-factored performance prediction. This innovative approach involves allocating training query intents for multiple training entities into training time intervals within a time series. Each training query intent is associated with a corresponding query intent time. Additionally, training performance results for these entities are organized into the same time intervals based on their respective performance times. A machine learning model is then trained for a specific milestone in the time series, utilizing the allocated training query intents and performance results. This model predicts target performance for a target entity in intervals following a milestone by inputting target query intents allocated to that entity.

Career Highlights

Dimitrios Brisimitzis is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in machine learning to develop innovative solutions that enhance performance prediction capabilities. His contributions have been instrumental in advancing the company's technological offerings.

Collaborations

Dimitrios has collaborated with notable colleagues, including Mayank Shrivastava and Hui Zhou. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Dimitrios Brisimitzis exemplifies the spirit of innovation through his work in machine learning and performance prediction. His patents and collaborations reflect a commitment to advancing technology and improving predictive capabilities in various applications.

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